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Washing and Enrichment of Micro-Particles Encapsulated in Droplets
Researchers developed microfluidic technology for the washing and enrichment of in-droplet micro-particles. They presented the technology using a microfluidic chip based on surface acoustic wave (SAW)-driven acoustic radiation force (ARF).
The team demonstrated the first instance of acoustic in-droplet micro-particle washing with a particle recovery rate of approximately 90 percent. They further extended the applicability of the proposed method to in-droplet particle enrichment with the unprecedented abilities to increase the in-droplet particle quantity and exchange the droplet dispersed phase.
This proposed method enabled on-chip, label-free, continuous, and selective in-droplet micro-particle manipulation. The team demonstrated the first instance of in-droplet micro-particle washing between two types of alternating droplets in a simple microchannel, proving that the method can increase the particle quantity, which has not been achieved by previously reported methods.
The study aimed to develop an in-droplet micro-particle washing and enrichment method based on SAW-driven ARF. When a droplet containing particles is exposed to an acoustic field, both the droplet and suspended particles experience ARF arising from inhomogeneous wave scattering at the liquid-liquid and liquid-solid interfaces. Unlike previous in-droplet particle manipulation methods, this method allows simultaneous and precise control over the droplets and suspended particles. Moreover, the proposed acoustic method does not require labelled particles, such as magnetic particles, and employs a simple microchannel geometry.
Microfluidic sample washing has emerged as an alternative to centrifugation because the limitations of centrifugation-based washing methods can be addressed using continuous washing processes. It also has considerable potential and importance in a variety of applications such as single-cell/particle assays, high-throughput screening of rare samples, and cell culture medium exchange.
Compared to continuous flow-based microfluidic methods, droplet-based microfluidic sample washing has been rarely explored due to technological difficulties. On-chip, in-droplet sample washing requires sample transfer across the droplet interface composed of two immiscible fluids. This process involves simultaneous and precise control over the encapsulated sample and droplet interface during the medium exchange of the in-droplet sample.
Sample encapsulation within individual microscale droplets offers isolated microenvironments for the samples. Experimental uncertainties due to cross-contamination and Taylor dispersion between multiple reagents can be reduced in droplet-based microfluidics.
This is the first research achievement made by the Acousto-Microfluidics Research Center for Next-Generation Healthcare, the cross-generation collaborative lab KAIST opened in May. This novel approach pairs senior and junior faculty members for sustaining the research legacy even after the senior researcher retires. The research center, which paired Chair Professor Hyung Jin Sung and Professors Hyoungsoo Kim and Yeunwoo Cho, made a breakthrough in microfluidics along with PhD candidate Jinsoo Park. The study was featured as the cover of Lab on a Chip published by Royal Society of Chemistry.
Jinsoo Park, first author of the study, believes this technology will may serve as an in-droplet sample preparation platform with in-line integration of other droplet microfluidic components. Chair Professor Sung said, “The proposed acoustic method will offer new perspectives on sample washing and enrichment by performing the operation in microscale droplets.”
Figure 1. (a) A microfluidic device for in-droplet micro-particle washing and enrichment; (b) alternatingly produced droplets of two kinds at a double T-junction; (c) a droplet and encapsulated micro-particles exposed to surface acoustic wave-driven acoustic radiation force; (d-h) sequential processes of in-droplet micro-particle washing and enrichment operation.
2018.10.19 View 6689 -
Six Professors Recognized for the National R&D Excellence 100
Six KAIST professors were listed among the 2018 National R&D Excellence 100 announced by the Ministry of Science and ICT and Korea Institute of S&T Evaluation and Planning.
Professor Il-Doo Kim from the Department of Materials Science and Engineering was recognized for his research on developing source technology for manufacturing a highly sensitive gas sensor with low power consumption. His work was recognized as most excellent in the field of mechanics and materials.
Additionally, Professor Ho Min Kim from the Graduate School of Medical Science & Engineering was listed as most excellent in the field of life and marine science for providing structural insights into the mechanism of proteins that regulates synapse development.
Meanwhile, Professor Byong-Guk Park from the Department of Materials Science and Engineering was listed as excellent in the field of mechanics and materials for his work on thermal spin current.
In the field of energy and environment, Professor Jae Woo Lee from the Department of Chemical and Biomolecular Engineering was listed as excellent for his work on CO₂ conversion to carbon materials.
Last but not least, Professor Min H. Kim from the School of Computing and Professor Kyung Cheol Choi from the School of Electrical Engineering were recognized as being excellent in the field of information and electronics. Professor Kim was recognized for image processing technology that reconstructs interlaced high-dynamic range video while Professor Choi was lauded for realizing flexible displays on fabrics.
A certificate from the Minister of Ministry of Science and ICT will be conferred to the scientists and their names will be listed on a special 2018 National R&D Excellence 100 plaque to celebrate their achievement.
These six professors will be nominated for merits including the Order of Merit, the President’s commendation, and the Prime Minister’s commendation and given privileges during the process of new R&D project selection.
2018.10.18 View 4310 -
A Novel Biosensor to Advance Diverse High-Level Production of Microbial Cell Factories
A research group at KAIST presented a novel biosensor which can produce diverse, high-level microbial cell factories. The biosensor monitors the concentration of products and even intermediates when new strains are being developed. This strategy provides a new platform for manufacturing diverse natural products from renewable resources. The team succeeded in creating four natural products of high-level pharmaceutical importance with this strategy.
Malonyl-CoA is a major building block for many value-added chemicals including diverse natural products with pharmaceutical importance. However, due to the low availability of malonyl-CoA in bacteria, many malonyl-CoA-derived natural products have been produced by chemical synthesis or extraction from natural resources that are harmful to the environment and are unsustainable. For the sustainable biological production of malonyl-CoA-derived natural products, increasing the intracellular malonyl-CoA pool is necessary. To this end, the development of a robust and efficient malonyl-CoA biosensor was required to monitor the concentration of intracellular malonyl-CoA abundance as new strains are developed.
Metabolic engineering researchers at KAIST addressed this issue. This research reports the development of a simple and robust malonyl-CoA biosensor by repurposing a type III polyketide synthase (also known as RppA), which produces flaviolin, a colorimetric indicator of malonyl-CoA. Subsequently, the RppA biosensor was used for the rapid and efficient colorimetric screening of gene manipulation targets enabling enhanced malonyl-CoA abundance. The screened beneficial gene targets were employed for the high-level production of four representative natural products derived from malonyl-CoA. Compared with the previous strategies, which were expensive and time-consuming, the new biosensor could be easily applied to industrially relevant bacteria including Escherichia coli, Pseudomonas putida, and Corynebacterium glutamicum to enable a one-step process.
The study employs synthetic small regulatory RNA (sRNA) technology to rapidly and efficiently reduce endogenous target gene expression for improved malonyl-CoA production. The researchers constructed an E. coli genome-scale synthetic sRNA library targeting 1,858 genes covering all major metabolic genes in E. coli. This library was employed with the RppA biosensor to screen for gene targets which are believed to be beneficial for enhancing malonyl-CoA accumulation upon their expression knockdown.
From this colorimetric screening, 14 gene targets were selected, all of which were successful at significantly increasing the production of four natural products (6-methylsalicylic acid, aloesone, resveratrol, and naringenin). Although specific examples are demonstrated in E. coli as a host, the researchers showed that the biosensor is also functional in P. putida and C. glutamicum, industrially important representative gram-negative and gram-positive bacteria, respectively. The malonyl-CoA biosensor developed in this research will serve as an efficient platform for the rapid development of strains capable of producing natural products crucial for the pharmaceutical, chemical, cosmetics, and food industries.
An important aspect of this work is that the high-performance strains constructed in this research were developed rapidly and easily by utilizing the simple approach of colorimetric screening, without involving extensive metabolic engineering approaches. 6-Methylsalicylic acid (an antibiotic) could be produced to the highest titer reported for E. coli, and the microbial production of aloesone (a precursor of aloesin, an anti-inflammatory agent/whitening agent) was achieved for the first time.
“A sustainable process for producing diverse natural products using renewable resources is of great interest. This study represents the development of a robust and efficient malonyl-CoA biosensor generally applicable to a wide range of industrially important bacteria. The capability of this biosensor for screening a large library was demonstrated to show that the rapid and efficient construction of high-performance strains is feasible. This research will be useful for further accelerating the development process of strains capable of producing valuable chemicals to industrially relevant levels,” said Distinguished Professor Sang Yup Lee of the Department of Chemical and Biomolecular Engineering, who led the research.
This study entitled “Repurposing type III polyketide synthase as a malonyl-CoA biosensor for metabolic engineering in bacteria,” was published in the Proceedings of the National Academy of Sciences of the United States of America (PNAS) on October 02.
PhD students Dongsoo Yang and Won Jun Kim, MS student Shin Hee Ha, research staff Mun Hee Lee, Research Professor Seung Min Yoo, and Distinguished Professor Sang Yup Lee of the Department of Chemical and Biomolecular Engineering and Dr. Jong Hyun Choi of the Applied Microbiology Research Center at the Korea Research Institute of Bioscience and Biotechnology (KRIBB) participated in this research.
Figure: Type III polyketide synthase (RppA) as a malonyl-CoA biosensor. RppA converts five molecules of malonyl-CoA into one molecule of red-colored flaviolin. This schematic diagram shows the overall conceptualization of the malonyl-CoA biosensor by indicating that higher malonyl-CoA abundance leads to higher production and secretion of flaviolin, resulting in a deeper red color of the culture. This system was employed for the enhanced production of four representative natural products (6-methylsalicylic acid, aloesone, resveratrol, and naringenin) from engineered E. coli strains.
2018.10.11 View 8494 -
KAIST Develops VRFB with Longer Durability
(from left: PhD candidate Soohyun Kim, Professor Hee-Tak Kim and PhD candidate Junghoon Choi)
There has been growing demand for large-scale storage for energy produced from renewable energy sources in an efficient and stable way. To meet this demand, a KAIST research team developed a new vanadium redox-flow battery (VRFB) with 15 times greater capacity retention and five times longer durability. This VRFB battery can be an excellent candidate for a large-scale rechargeable battery with no risk of explosion.
The VRFB has received much attention for its high efficiency and reliability with the absence of cross-contamination. However, it has the limitation of having insufficient charge and discharge efficiency and a low capacity retention rate because its perfluorinated membrane is very permeable to any active materials. To minimize energy loss, it needs a membrane that has low vanadium ion permeability and high ion conductivity. Hence, there was an attempt to incorporate a hydrocarbon membrane that has low cost and high ion selectivity but it turned out that the VO₂+ caused chemical degradation, which led to shortening the battery life drastically.
To develop a membrane with pore sizes smaller than the hydrated size of vanadium ions yet larger than that of the protons, a research team co-led by Professor Hee-Tae Jung and Professor Hee-Tak Kim from the Department of Chemical and Biomolecular Engineering implemented a graphene-oxide framework (GOF) membrane by cross-linking graphene oxide nanosheets. They believed that GOF, having strong ion selectivity, would be a good candidate for the membrane component for the VRFB. The interlayer spacing between the GO sheets limited moisture expansion and provided selective ion permeation.
The GOF membrane increased the capacity retention of the VRFB, which showed a 15 times higher rate than that of perfluorinated membranes. Its cycling stability was also enhanced up to five times, compared to conventional hydrocarbon membranes.
These pore-sized-tuned graphene oxide frameworks will allow pore-sized tuning of membranes and will be applicable to electrochemical systems that utilize ions of various sizes, such as rechargeable batteries and sensors.
Professor Kim said, “Developing a membrane that prevents the mixing of positive and negative active materials has been a chronic issue in the field of redox-flow batteries. Through this research, we showed that nanotechnology can prevent this crossover issue and membrane degradation. I believe that this technology can be applied to various rechargeable batteries requiring large-scale storage.”
This research was published in Nano Letters on May 3.
Figure 1. Electrochemical performances of the VRFBs with Nafion 115, SPAES (sulfonated poly), and GOF/SPAES: discharge capacity
Figure 2. Schematic of the selective ion transfer of hydrated vanadium ions and protons in the GOF membrane and the molecular structure of the GOF membrane, showing that the GO nanosheets are cross-linked with EDA (ethylenediamine)
2018.09.20 View 6587 -
KAIST Core Technology Fair Accelerates Commercialization
(President Shin makes opening remarks at the KAIST Core Tech Transfer Day in Seoul.)
Technology commercialization is the one of the innovation initiatives KAIST is strongly driving. KAIST showcased six core technologies developed by KAIST research teams during the 2018 KAIST Core Tech Transfer Day on September 10 at Coex in Seoul. More than 300 investors, buyers, and venture capitalists showed up for the fair. This is the second fair organized as one of the strategic innovation initiatives that KAIST is promoting.
Developers of key technologies selected in the fields of bio, nano, AI, and semiconductors presented their distinct technological prowess to the attendees. The technologies are highly relevant for the new industrial environment trends in the Fourth Industrial Revolution.
The 15-member committee comprised of patent attorneys, venture capitalists, and commercialization specialists selected the six core technologies based on their innovativeness, applicability, and marketability. The Office of University-Industry Cooperation (OUIC) plans to offer buyers various services for developing business models, business strategy analysis, and marketing at home and abroad. The six core technologies featured at the fair include:
- Novel technology of a nano patterning platform by Professor Hee Tae Chung from the Department of Chemical and Biomolecular Engineering
- Anticancer therapeutic candidate materials strengthening immune function by Professor Byung Sok Choi from the Department of Chemistry
- Biofuel mass production using micro-organisms by Distinguished Professor Sang-Yup Lee from the Department of Chemical and Biomolecular Engineering
- Compact single-shot hyperspectral camera technology by Min Hyuk Kim from the School of Computing
- AI-powered high speed ultra-high definition upscaling technology by Professor Munchurl Kim from the School of Electrical Engineering - A radiation strong MOSFET device by Hee Chul Lee from the School of Electrical Engineering
President Sung-Chul Shin stressed in his opening remarks that universities should make contributions to economic development through innovation. “Global leading universities are taking an instrumental role in creating new jobs and economic growth with their own technologies. KAIST, as the leading university in Korea, is accelerating the commercialization of technology produced internally to create a meaningful impact for the economy as well as the job market beyond Korea,” he said.
“We are aiming for the global market, not just in Korea. I want KAIST to be a global value creator that can contribute to the betterment of the world through our innovations,” he added.
2018.09.10 View 5593 -
The MSE/CBE Int'l Workshop Explores Big Ideas in Emerging Materials
(KAIST President Sung-Chul Shin with scholars participated in the workshop)
The MSE/CBE International Workshop brought together editors from key academic journals in multidisciplinary materials science and scholars from leading universities at KAIST on Aug. 7.
The workshop hosted ten distinguished speakers in the fields of nanostructures for next-generation emerging applications, chemical and bio-engineering, and materials innovation for functional applications. They explored opportunities and challenges for reinventing novel materials that will solve complex problems.
(From left: Professor Buriak, Professor Swager and Professor Il-Doo Kim)
Speakers included: Chief Editor of Nature Materials Vincent Dusastre; Editor-in- Chief of ACS NANO and professor at UCLA Paul S. Weiss; Jillian M. Buriak, Editor-in-Chief of Chemistry of Materials; Associate Editor of Macromolecules and professor at MIT Timothy M. Swager; Coordinating Editor of Acta Materialia and Head of the Department of Materials Science and Engineering at MIT Christopher A. Schuh; Editor-in-Chief of Biotechnology Journal and Metabolic Engineering and Distinguished Professor at KAIST Sang-Yup Lee; Associate Editor of Energy Storage Materials and professor at KAIST Sang Ouk Kim; Professor Jeffrey C. Grossman at MIT; Professor Zhenan Bao at Stanford University; and Professor Hyuck Mo Lee, head of the Department of Materials Science and Engineering at KAIST.
Interdisciplinary materials research holds the key to building technological competitiveness in many industrial sectors extending from energy, environment, and health care to medicine and beyond. It has also been the bedrock of KAIST’s scholarship and research innovation. More than 200 faculty members in the field of materials science produce about 800 SCI papers every year. The two departments of materials science and chemical biomolecular engineering are leading KAIST’s global reputation, as they were both ranked 13th and 14th in the QS World University Ranking by Subject this year.
(Professor Il-Doo Kim fromt he Department of Materials Science Engineering)
Professor Il-Doo Kim from the Department of Materials Science Engineering has been the chair of this workshop from 2016. In hosting the second one this year, he said that he hopes this year’s workshop will inspire many materials scientists to have big ideas and work to make those big ideas get noticed in order to have a real impact.
(KAIST President Sung-Chul Shin)
President Sung-Chul Shin, who is a physicist specializing in materials physics, expressed his keen interest in the workshop, saying innovative materials made of unthinkable and noble combinations will be the key factor in determining the competitiveness of new technology and new industries. He lauded international collaborations for making new materials and the scholarly passion to evaluate the materials’ characteristics that made this significant progress possible.
Dr. Vincent Dusastre, chief editor of Nature Materials, presented recent trends in materials for energy. He described how the rational design and improvement of materials’ properties can lead to energy alternatives which will compete with existing technologies. He pointed out that given the dramatic fundamental and practical breakthroughs that are taking place in the realization of solar cells with high energy-conversion efficiency, the improvement of batteries for electric vehicles and the grid is also a major challenge. He stressed, “Key advances in sustainable approaches beyond Li-ion batteries and control of redox processes are also greatly needed.”
Meanwhile, ACS NANO Editor-in-Chief Paul S. Weiss spoke on the importance of heterogeneity in the structure and function of molecules and nanoscale assemblies. He stressed that such extensiveness of multi-interdisciplinary research will accelerate a greater impact as indicated when the fields of neuroscience and microbiome converged with nanoscience and nanotechnology.
Editor-in-Chief of Chemistry of Materials Professor Jillian M. Buriak from the University of Alberta described how predictive models and machine learning can replace time consuming empirical device production and screening. By understanding and pinpointing the frustrating bottlenecks in the design of stable and efficient organic photovoltaics, much faster throughput can be obtained to enable a more direct pathway to stability, efficiency, and finally commercialization.
2018.08.13 View 10963 -
Students' Continued Gratitude Extends to Their Spouses
Here is a story of a group of KAIST graduates who still cherish the memory of their professor who passed away in 2003.
They are former students from the Department of Materials Science and Engineering and SDV Lab and their spouses. They created a group, called ‘Chun-sa-heoi’ meaning members who love Dr. Soung-Soon Chun. They reunite every February 26, the date that Dr. Chun passed away.
Chun-sa-heoi is comprised of twelve former students who are now professors, board members of major companies, and an attorney. From his first graduate, Professor Jae Gon Kim at Hanyang University to the most recent graduate, Attorney Jaehwan Kim, Chun-sa-heoi is marking 40 years of their bond.
Dr. Chun was teaching at the University of Utah when he received a call from the Korean government asking him to join KAIST in 1972 as a visiting professor.
He first introduced and established the Department of Materials Engineering, which was considered to be an advanced field at that time. During 30 years of dedication in this field, he fostered 48 Masters and 26 PhD graduates.
Professor Chul Soon Park from the School of Electrical Engineering is one of the former students of Dr. Chun. He explained, “Dr. Chun always cared about his students and guided them in better directions even after they graduated. My gratitude towards him still stays deep in my heart, so I keep maintaining the relationship with him.”
Mrs. Bok Yeon Choi, the spouse of KOREATECH Professor Sang-Ho Kim, first met Dr. Chun and his wife, Myung-Ja Chun in 1987 when she married her husband, who was enrolled in the graduate program at that time. “The Chuns showed affection to not only Dr. Chun’s students but also their families. They took care of us like a family,” she recalled.
Although Dr. Chun passed away in 2003, they continue to pay visits to Mrs. Chun, and they naturally organized this group, expressing gratitude to the Chuns. And their reunions keep on going even after Mrs. Chun moved to Los Angeles where her children are residing. Whenever the former students have a business trip to the U.S, they do not forget to visit Mrs. Chun.
But this year was somewhat more special for Mrs Chun and Chun-sa-heoi. In April, twelve spouses from Chun-sa-heoi invited Mrs. Chun to Hawaii to celebrate her 80th birthday. Mrs. Chun means a lot to the spouses because she has played the role of supporter to them. When they needed advice, she always answered sincerely and encouraged them.
There are numerous relationships among students and professors over the history of KAIST; however, the story of the Chuns and Chun-sa-heoi is very special because their relationship extends to their spouses, beyond the student-professor relationship.
This photo was taken in last April when Chun-sa-heoi celebrated the 80th birthday of Mrs. Chun in Hawaii.
? Who is Dr. Chun?
(Dr. Soung-Soon Chun)
Dr. Chun returned to Korea from the United States in 1972 following a call from the Korean government. At that time, the government policy was to bring back prominent scientists from abroad to develop national science and technology. From the time of KAIST’s foundation, he dedicated himself as a professor. He established the Department of Materials Engineering, where he fostered students and made significant academic contributions in his field.
While holding a position as a professor at the University of Utah, he developed a chemical vapor deposition method with tungsten and applied this method to cutting tools, making a contribution to the economic development of Korea.
When government-funded institutes, including KAIST, faced difficulties due to early retirements and tax credits being cut off, he was appointed as the vice president of KAIST and ardently proposed ways to promote the institute. During his term as vice president and president, he contributed to making KAIST a global research-centered educational institute. Before he passed away at the age of 69 in 2003, he held the position of president of the Daejeon National University of Technology and the Presidential Advisory Council on Science and Technology.
2018.07.13 View 5900 -
Czech Technology Mission with KAIST
Members of the Czech research community visited KAIST to discuss medium to long-term cooperation with KAIST. This visit was hosted by the Fourth Industrial Revolution Intelligence Center (FIRIC).
The community is comprised of people from Czech enterprises and academic institutes that are leading core technologies for the Fourth Industrial Revolution in the fields of AI, robotics, and biotechnology. They had a chance to meet KAIST professors and visit research labs.
Professor Il-Doo Kim from the Department of Materials Science and Engineering, Professor Seongsu Kim from the Department of Mechanical Engineering, and Professor Hyun Uk Kim from the Department of Chemical and Biomolecular Engineering attended the meeting, which took place in the Mechatronics, Systems, and Control Lab under the Vice President for Planning and Budget Soo Hyun Kim and Professor Kyung Soo Kim from the Department of Mechanical Engineering.
Professor Petr Novák from the Technical University of Ostrava said, “It was a meaningful meeting to help understand research trends on industrial robots in Korea.” Professor So Young Kim from FIRIC said, “The Czech research community is strong in basic research where KAIST has outstanding source technology. I hope this visit will open up a path for medium to long-term cooperation on sharing research and technology know-how between the Czech research community and KAIST.”
2018.06.07 View 5613 -
KAIST Class of '78 Celebrates 40-Year Reunion
(from left: Chairman Hyung Kyu Lim from the KAIST Alumni Scholarship Foundation and KAIST President Sung-Chul Shin)
The Class of 1978 reunited on May 26 at the College of Business on the KAIST Seoul Campus, which was the main campus when they were students 40 years ago. Now leaders of Korea in the sectors of industry, academia, and research, the Class of ’78 held a homecoming event in celebration of the 40th anniversary of their graduation.
Approximately 120 guests attended the event, including the head of the KAIST Alumni Association Ki-Chul Cha, Emeritus Professor Jae-Kyoon Kim, and Emeritus Professor Choong-Ki Kim from the School of Electrical Engineering.
The Class of ’78 includes Man Gi Paik from the Ministry of Trade, Industry and Energy, Chairman Hyung Kyu Lim from the KAIST Alumni Scholarship Foundation, President Sang Hyuk Son from Daegu Gyeongbuk Institute of Science & Technology, and Provost and Executive Vice President O Ok Park from KAIST.
At the event, the Class of ‘78 donated a scholarship worth 1.5 billion KRW. Chairman Lim said, “We will put every effort into helping KAIST students who will be future leaders. We hope this fund will go toward students who will create new value and contribute to society.”
President Shin added, “The effort and affection of the alumni will be a strong foundation for KAIST taking the next big step. In response to the support and affection of 61,125 KAIST alumni, KAIST will make every effort to become a world-leading university.”
2018.05.30 View 4710 -
2018 KAIST Research Day Honors Outstanding Research Achievements
(KAIST President Sung-Chul Shin and Professor Jong-Hwan Kim) Professor Jong-Hwan Kim from the School of Electrical Engineering was recognized at the 2018 KAIST Research Day as the Research Grand Prize Awardee. The ten most distinguished research achievements of the past year were also recognized.
The Research Grand Prize recognizes the professor whose comprehensive research performance evaluation indicator was the highest over the past five years. The indicator combines the number of research contracts, IPR and royalty income.
During the May 25th ceremony, Professor Hyochoong Bang from the Department of Aerospace Engineering and Professor In so Kweon from the School of Electrical Engineering also won the Best Research Award prize.
This year, the Research Innovation Award went to Professor Dong Soo Han from the School of Computing. The Research Innovation Award combines scores in the categories of foreign patent registrations, contracts of technological transfer, and income from technology fees, technology consultations, and startups.
The Convergence Research Award was given to Professor Junmo Kim from the School of Electrical Engineering and Professor Hyun Myung from the Department of Civil & Environmental Engineering. The Convergence Research Award recognizes the most outstanding research team that created innovative research results over a one-year period.
President Sung-Chul Shin said, “KAIST has selected the ten most outstanding research achievements of 2017 conducted by our faculty and researchers. All of them demonstrated exceptional creativity, which opens new research paths in each field though their novelty, innovation, and impact.”
KAIST hosts Research Day every year to introduce major research performances at KAIST and share knowledge about the research and development.
During Research Day, KAIST also announced the ten most distinguished research achievements contributed by KAIST professors during the previous year. They are listed below.
▲ High-Speed Motion Core Technology for Magnetic Memory by Professor Kab-Jin Kim from the Department of Physics
▲ A Double Well Potential System by Professor Jaeyoung Byeon from the Department of Mathematical Sciences
▲ Cheap and Efficient Dehydrogenation of Alkanes by Professor Mu-Hyun Baik from the Department of Chemistry
▲ A Dynamic LPS Transfer Mechanism for Innate Immune Activation by Professor Ho Min Kim from the Graduate School of Medical Science and Engineering
▲ A Memristive Functional Device and Circuit on Fabric for Fibertronics by Professor Yang-Kyu Choi and Professor Sung-Yool Choi from the School of Electrical Engineering
▲ A Hippocampal Morphology Study Based on a Progressive Template Deformable Model by Professor Jinah Park from the School of Computing
▲ The Development of a 6-DOF Dynamic Response Measurement System for Civil Infrastructure Monitoring by Professor Hoon Sohn from the Department of Civil and Environmental Engineering
▲ Cooperative Tumour Cell Membrane Targeted Phototherapy by Professor Ji-Ho Park from the Department of Bio and Brain Engineering
▲ HUMICOTTA: A 3D-Printed Terracotta Humidifier by Professor Sangmin Bae from the Department of Industrial Design
▲ Ultrathin, Cross-Linked Ionic Polymer Thin Films by Professor Sung Gap Im from the Department of Chemical and Biomolecular Engineering
2018.05.28 View 9276 -
Cross-Generation Collaborative Labs Open
KAIST opened two cross-generation collaborative labs last month. This novel approach will pair up senior and junior faculty members for sustaining research and academic achievements even after the senior researcher retires.
This is one of the Vision 2031 innovation initiatives established to extend the spectrum of knowledge and research competitiveness. The selected labs will be funded for five years and the funding will be extended if necessary. KAIST will continue to select new labs every year.
A five-member selection committee including the Nobel Laureates Professor Klaus Von Klitzing at the Max-Planck Institute for Solid State Research and Dr. Kurt Wüthrich from ETH Zürich selected the first two labs with senior-junior pairs in March.
(Two renowned scholars' Cross-Generation Collaborative Labs which opened last month.
Distinguished Professor Lee's lab (above) andChair Professor Sung's lab)
Both labs are run by world-renowned scholars: the Systems Metabolic Engineering and Systems Healthcare Laboratory headed by Distinguished Professor Sang-Yup Lee in the Department of Chemical and Biomolecular Engineering and the Acousto-Microfluidics Research Center for Next-Generation Healthcare led by Chair Professor Hyung Jin Sung in the Department of Mechanical Engineering.
Distinguished Professor Lee will be teamed up with Professor Hyun Uk Kim, and their lab aims to mass produce new eco-friendly chemical materials as well as higher-value-added materials which will be used for medicine. The new platform technologies created in the lab are expected to provide information which will benefit human healthcare.
Meanwhile, the Acousto-Microfluidics Research Center for Next-Generation Healthcare will team up with Professors Hyoungsoo Kim and Yeunwoo Cho under Chair Professor Sung. The lab will conduct research on controlling fluids and objects exquisitely on a micro-nano scale by using high-frequency acoustic waves. The lab plans to develop a next-generation healthcare platform for customized diagnoses as well as disease treatment.
KAIST President Sung-Chul Shin, who introduced this novel idea in his research innovation initiative, said that he hopes the Cross-Generation Collaborative Labs will contribute to honoring senior scholars’ research legacies and passing knowledge down to junior researchers in order to further develop their academic achievements. He said, “I sincerely hope the labs will make numerous research breakthroughs in the very near future.”
2018.05.03 View 9860 -
Deep Learning Predicts Drug-Drug and Drug-Food Interactions
A Korean research team from KAIST developed a computational framework, DeepDDI, that accurately predicts and generates 86 types of drug-drug and drug-food interactions as outputs of human-readable sentences, which allows in-depth understanding of the drug-drug and drug-food interactions.
Drug interactions, including drug-drug interactions (DDIs) and drug-food constituent interactions (DFIs), can trigger unexpected pharmacological effects, including adverse drug events (ADEs), with causal mechanisms often unknown. However, current prediction methods do not provide sufficient details beyond the chance of DDI occurrence, or require detailed drug information often unavailable for DDI prediction.
To tackle this problem, Dr. Jae Yong Ryu, Assistant Professor Hyun Uk Kim and Distinguished Professor Sang Yup Lee, all from the Department of Chemical and Biomolecular Engineering at Korea Advanced Institute of Science and Technology (KAIST), developed a computational framework, named DeepDDI, that accurately predicts 86 DDI types for a given drug pair. The research results were published online in Proceedings of the National Academy of Sciences of the United States of America (PNAS) on April 16, 2018, which is entitled “Deep learning improves prediction of drug-drug and drug-food interactions.”
DeepDDI takes structural information and names of two drugs in pair as inputs, and predicts relevant DDI types for the input drug pair. DeepDDI uses deep neural network to predict 86 DDI types with a mean accuracy of 92.4% using the DrugBank gold standard DDI dataset covering 192,284 DDIs contributed by 191,878 drug pairs. Very importantly, DDI types predicted by DeepDDI are generated in the form of human-readable sentences as outputs, which describe changes in pharmacological effects and/or the risk of ADEs as a result of the interaction between two drugs in pair. For example, DeepDDI output sentences describing potential interactions between oxycodone (opioid pain medication) and atazanavir (antiretroviral medication) were generated as follows: “The metabolism of Oxycodone can be decreased when combined with Atazanavir”; and “The risk or severity of adverse effects can be increased when Oxycodone is combined with Atazanavir”. By doing this, DeepDDI can provide more specific information on drug interactions beyond the occurrence chance of DDIs or ADEs typically reported to date.
DeepDDI was first used to predict DDI types of 2,329,561 drug pairs from all possible combinations of 2,159 approved drugs, from which DDI types of 487,632 drug pairs were newly predicted. Also, DeepDDI can be used to suggest which drug or food to avoid during medication in order to minimize the chance of adverse drug events or optimize the drug efficacy. To this end, DeepDDI was used to suggest potential causal mechanisms for the reported ADEs of 9,284 drug pairs, and also predict alternative drug candidates for 62,707 drug pairs having negative health effects to keep only the beneficial effects. Furthermore, DeepDDI was applied to 3,288,157 drug-food constituent pairs (2,159 approved drugs and 1,523 well-characterized food constituents) to predict DFIs. The effects of 256 food constituents on pharmacological effects of interacting drugs and bioactivities of 149 food constituents were also finally predicted. All these prediction results can be useful if an individual is taking medications for a specific (chronic) disease such as hypertension or diabetes mellitus type 2.
Distinguished Professor Sang Yup Lee said, “We have developed a platform technology DeepDDI that will allow precision medicine in the era of Fourth Industrial Revolution. DeepDDI can serve to provide important information on drug prescription and dietary suggestions while taking certain drugs to maximize health benefits and ultimately help maintain a healthy life in this aging society.”
Figure 1. Overall scheme of Deep DDDI and prediction of food constituents that reduce the in vivo concentration of approved drugs
2018.04.18 View 10315