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In Jin Cho Earned the Best Poster Prize at ME Summit 2017 In Jin Cho, a Ph.D. student in the Department of Chemical and Biomolecular Engineering at KAIST received the best poster prize at the International Metabolic Engineering Summit 2017 held on October 24 in Beijing, China. The International Metabolic Engineering Summit is a global conference where scientists and corporate researchers in the field of metabolic engineering present their latest research outcomes and build networks. At this year’s summit, about 500 researchers from around the world participated in active academic exchanges, including giving keynote speeches and presenting posters. During the poster session, the summit selects one person for the KeAi-synthetic and Systems Biotechnology Poster Award, two for Microbial Cell Factories Poster Awards, and three for Biotechnology Journal Poster Awards among the posters presented by graduate students, post-doctoral fellows and researchers. Cho received the KeAi-synthetic and Systems Biotechnology Poster Award. Her winning poster is on the biotransformation of p-xylene to terephthalic acid using engineered Escherichia coli. Terephthalic acid is generally produced by p-xylene oxidation; however, this process requires a high temperature and pressure as well as a toxic catalyst during the reaction process. Cho and Ziwei Luo, a Ph.D. student at KAIST, co-conducted the research and developed a successful biological conversion process. Compared to the existing chemical process, it does not require a high temperature and pressure; and it is environmentally friendly with a relatively high conversion rate of approximately 97%. Cho’s advisor, Distinguished Professor Sang Yup Lee said, “Further research on glucose-derived terephthalic acid will enable us to produce biomass-based eco-friendly terephthalic acid through engineered Escherichia coli.”
2017.10.31 View 12671
KAIST and KOICA Invited Dominican Republic Officials for Workshop KAIST will host a two-week workshop for Dominican Republic officials and scholars in collaboration with KOICA (Korea International Cooperation Agency) beginning October 23 at KAIST. The workshop aims to encourage academia-industry cooperation as one of the Projects for Human Resource Development for Science and Technology at KOICA. Dominican participants including the assistant minister of the Ministry of Higher Education, Science and Technology (MESCYT) and deans of engineering colleges at major universities will enjoy lectures from experts and visit enterprises known for excellent academia-industry collaboration. According to the Center for Overseas Development, at which Professor WonJoon Kim in the School of Business and Technology Management at KAIST holds the position of director, the workshop is designed to develop human resources in the science and technology (S&T) area, share knowledge on research and development in the field of academia-industry cooperation, and help the participants acquire know-how for managing partnerships between related organizations and industries. During the workshop, KAIST plans to transfer know-how and share knowledge on its academia-industry cooperation R&D system, in hopes that the workshop will help the Dominican Republic foster its manpower in higher education. The workshop organizers hope that the officers and scholars will be able to apply what they will learn for establishing and carrying out detailed action plans for academia-industry cooperation policies in an effective manner. “This workshop provides an opportunity to learn about the development of S&T in Korea, academia-industry cooperation R&D, and fostering manpower in advanced S&T. Through the knowledge sharing, we can have a better understanding of academia-industry cooperation as well as education on advanced manpower,” said Pedro Antonio Eduardo, the assistant minister of MESCYT. He added, “I hope that this workshop will further detailed cooperation between the two countries for Korean high-tech enterprises’ overseas expansion and advanced manpower education. The development model in Korea has many essential elements, so learning its engine for growth and polytechnic manpower education will help develop my country’s industry sector.” The Project for Human Resource Development for Science and Technology is one of the official development assistance projects running from last year until 2019. It promotes R&D activities for S&T in the Dominican Republic, encouraging academia-industry cooperation by improving trainers in charge of advanced manpower education.
2017.10.30 View 9896
Development of a Highly-Accurate Computational Model of Human Metabolism A research team from KAIST developed a computational framework that enables the reconstruction of a comprehensive computational model of human metabolism, which allows for an accurate prediction of personal metabolic features (or phenotypes). Understanding personal metabolic phenotypes allows us to design effective therapeutic strategies for various chronic and infectious diseases. A human computational model called the genome-scale metabolic model (GEM) contains information on thousands of metabolic genes and their corresponding reactions and metabolites, and has played an important role in predicting metabolic phenotypes. Although several versions of human GEMs have been released, they had room for further development, especially as to incorporating biological information coming from a human genetics mechanism called “alternative splicing.” Alternative splicing is a genetic mechanism that allows a gene to give rise to multiple reactions, and is strongly associated with pathology. To tackle this problem, Jae Yong Ryu (a Ph.D. student), Dr. Hyun Uk Kim (Research Fellow), and Distinguished Professor Sang Yup Lee, all from the Department of Chemical and Biomolecular Engineering at KAIST, developed a computational framework that systematically generates metabolic reactions, and adds them to the human GEM. The resulting human GEM was demonstrated to accurately predict metabolic phenotypes under varied environmental conditions. The research results were published online in Proceedings of the National Academy of Sciences (PNAS) on October 24, 2017, under the title “Framework and resource for more than 11,000 gene-transcript-protein-reaction associations in human metabolism.” The research team first updated the biological contents of a previous version of the human GEM. The updated biological contents include metabolic genes and their corresponding metabolites and reactions. In particular, metabolic reactions catalyzed by already-known protein isoforms were additionally incorporated into the human GEM; protein isoforms are multiple variants of proteins generated from individual genes through the alternative splicing process. Each protein isoform is often responsible for the operation of a metabolic reaction. Although multiple protein isoforms generated from one gene can play different functions by having different sets of protein domains and/or subcellular localizations, such information was not properly considered in previous versions of human GEMs. Upon the initial update of the human GEM, named Recon 2M.1, the research team subsequently implemented a computational framework that systematically generates information on Gene-Transcript-Protein-Reaction Associations (GeTPRA) in order to identify protein isoforms that were previously not identified. This framework was developed in this study. As a result of the implementation of the framework for GeTPRA, more than 11,000 GeTPRA were automatically predicted, and thoroughly validated. Additional metabolic reactions were then added to Recon 2M.1 based on the predicted GeTPRA for the previously uncharacterized protein isoforms; Recon 2M.1 was renamed Recon 2M.2 from this upgrade. Finally, Recon 2M.2 was integrated with 446 sets of personal biological data (RNA-Seq data) in order to build patient-specific cancer models. These patient-specific cancer models were used to predict cancer metabolism activities and anticancer targets. The development of a new version of human GEMs along with the computational framework for GeTPRA is expected to boost studies in fundamental human genetics and medicine. Model files of the human GEMs Recon 2M.1 and 2M.2, a full list of the GeTPRA and the source code for the computational framework to predict the GeTPRA are all available as part of the publication of this study. Distinguished Professor Lee said, “The predicted GeTPRA from the computational framework is expected to serve as a guideline for future experiments on human genetics and biochemistry, whereas the resulting Recon 2M.2 can be used to predict drug targets for various human diseases.” This work was supported by the Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries (NRF-2012M1A2A2026556 and NRF-2012M1A2A2026557) from the Ministry of Science and ICT through the National Research Foundation (NRF) of Korea. (Figure 1:A scheme of Recon 2M.1 development and its use in reconstructing personal genome-scale metabolic models (GEMs). (A) A concept of alternative splicing of human genes and its use in Gene-Transcript-Protein-Reaction Associations (GeTPRA) of Recon 2M.1. (B) A procedure of systematic refinement of the Recon 2Q. Recon 2Q is one of the previously released human GEMs. Biochemically inconsistent reactions include unbalanced, artificial, blocked, and/or redundant reactions. Iterative manual curation was conducted while validating the Recon 2M.1. (C) Reconstruction of cancer patient-specific GEMs using Recon 2M.1 for further simulation studies. In this study, personal biological data (RNA-Seq data) were obtained from The Cancer Genome Atlas (TCGA; https://cancergenome.nih.gov/ ) across the ten cancer types. (Figure 2: Computational framework for the systematic generation of Gene-Transcript-Protein-Reaction Associations (GeTPRA; red box in the flowchart). Peptide sequences of metabolic genes defined in Recon 2M.1 were retrieved from a database called Ensembl. EC numbers and subcellular localizations of all the protein isoforms of metabolic genes in Recon 2M.1 were predicted using software programs EFICAz2.5 and Wolf PSort, respectively. Information on the newly predicted GeTPRA was systematically incorporated into the Recon 2M.1, thereby resulting in Recon 2M.2.)
2017.10.25 View 11502
Professor Dai Gil Lee Recognized by the ICCS Emeritus Professor Dai Gil Lee, from the School of Mechanical and Aerospace Engineering at KAIST, received a special achievement award from the 20th International Conference on Composite Structures (ICCS). ICCS is a renowned conference in the field of applied composite structures, which highlights the practicality of composite structures. This year, the conference was held at the Conservatoire National des Arts et Métiers (CNAM), Paris, France from September 4 to 7. Approximately 650 papers were presented from 45 countries. Especially, the conference honored Emeritus Professor Lee, who has been engaged in ICCS since 1993 and received best paper award twice. The ICCS recognized him for serving with distinction in science and technology in the fields of composite materials and structures. As a member of the Editorial Board for many years, he gave significant support to the journal Composite Structures. At the conference, he gave a special lecture titled ‘Lightweight Carbon Composite Proton Exchange Membrane Fuel Cells’. Professor Lee said, “I will dedicate myself to innovate Vanadium Redox Flow Battery-ESS (VRFB) based on the research findings announced at the conference and related patents. I am hoping that these efforts will contribute to solving energy issues around the world.”
2017.10.19 View 10237
KAIST Partners with WEF to Prepare for the 4th Industrial Revolution KAIST President Sung-Chul Shin and the Head of the World Economic Forum Center for the Fourth Industrial Revolution, Murat Sonmez, made a commitment to build cooperation in an active manner for addressing the ramifications of the Fourth Industrial Revolution. The two signed an MOU to cooperate in research in related fields on October 13 after holding a roundtable discussion titled “The Future of Jobs and Inclusive Growth in Korea”. It is the first partnership that the WEF has sealed with an academic institution.The roundtable discussion brought together distinguished guests from politics, non-profit civic organizations, academia, and enterprises including Daejeon Mayor Seon-Taek Kwon, Doosan Group Vice Chairman Lee Hyun-Soon, and Korean Venture Business Association President Ahn Keon-Joon. During the news conference, President Shin said, “This event means a lot because it explores ways in which inclusive growth and job creation can be realized in Korea. To move forward in the new age of the Fourth Industrial Revolution, every country needs to adopt appropriate new policies suitable for their specific market environments. KAIST will contribute to this process for Korea as well as for the global community.” President Shin also said, “Korea has been a fast follower in previous industrial revolutions. Now, we have the momentum to seize the opportunities in the wake of this revolution. KAIST is dedicated to leading Korea into becoming a first mover in the Fourth Industrial Revolution by cooperating with the WEF.” “Two decades later, we will live with considerable number of robots around us. It is possible that our societies in the future will consist of Homo sapiens and Robo sapiens. We need to create new jobs for Homo sapiens to prepare for a society that we will have to coexist with a new industrial tribe. Industries need continuing education to retrain workers for the ever evolving industrial landscape of the future,” President Shin emphasized. Meanwhile, Sonmez pointed out that all stakeholders should participate in understanding the new industrial environment’s ramifications, saying “Societies, governments, public and private sectors, startups, and academia should co-design inclusive models through global efforts. Ethics and influences on the job market should also be taken into consideration.” Sonmez said nine factors such as blockchains, internet of things, artificial intelligence, machine learning, cross-border data blow, drones, 3D printing, autonomous driving, the environment, and precision medicine will take center stage in the Fourth Industrial Revolution, In particular, he said that blockchains, which are a cybersecurity technology for online financial transactions, will bring even bigger changes than the ‘World Wide Web’ has done over the past three decades. “To this end, we will have to work closely with major academic institutes. Through this partnership with KAIST, we will make the fruits of the new industrial environment benefit Koreans and Korean society,” Sonmez added.
2017.10.14 View 10692
KAIST-WEF Roundtable on Inclusive Growth and Job Creation The World Economic Forum (WEF) will join KAIST in an effort to address sweeping global problems in the wake of the Fourth Industrial Revolution. The two will co-host a roundtable on ‘Shaping Korea’s Priorities for Inclusive Growth and Job Creation in the Fourth Industrial Revolution’ on October 13 at Lotte Hotel in Seoul. The roundtable will bring together leaders from government, industry, universities, and non-profit civic organizations to have an in-depth discussion on a thought-provoking agenda of inclusive growth and job creation which scientific and technological changes will bring about. The event will provide a platform to explore practical collaboration and innovative strategies for better job creation and innovation ecosystems. The two will also sign an MOU for collaboration between the Fourth Industrial Revolution Information Center (FIRIC) of KAIST and the WEF Center for the Fourth Industrial Revolution (C4IR). President Sung-Chul Shin of KAIST and the Head of the WEF Center for the Fourth Industrial Revolution, Murat Sonmez, will lead the panel discussion titled ‘Inclusive Growth and the Fourth Industrial Revolution’ which will be attended by leaders from government, industry, and non-profit civic organizations. At the breakout sessions, the topics will be “Future Jobs” and the “Creation of Innovation Ecosystems”. Additionally, a discussion on the “SME 4.0 Initiative”, which is a program pushed forward by KAIST in collaboration with local governments, will talk about job creation through innovation in small and medium-sized enterprises (SMEs). The WEF will introduce their two-year activities and research on the Fourth Industrial Revolution, which have great potential and a high possibility of successfully undergoing the revolution, to Korea. Since WEF Executive Chairman Klaus Schwab brought up the topic of the Fourth Industrial Revolution, the WEF has been leading agenda topics and discussions on high-profile matters, including ‘technology-driven but human-centered inclusive growth’ in predicting the future of jobs. The WEF is a nonprofit organization committed to addressing the world’s weightiest problems. It is best known for its annual meetings in Davos, Switzerland, which attracts leaders from around the world. KAIST has been participating in this summit since 2009. President Shin will also attend the upcoming Davos summit next January. Distinguished Professor Sang Yup Lee who heads the KAIST Institute and the FIRIC is the co-chair of the Global Council on Biotechnology and a member of the Global Future Council on the Fourth Industrial Revolution at the WEF. Moreover, President Shin and Mr. Sonmez will explain the background of the roundtable and share the results of the sessions at a joint news conference.
2017.09.28 View 12006
Sangeun Oh Recognized as a 2017 Google Fellow Sangeun Oh, a Ph.D. candidate in the School of Computing was selected as a Google PhD Fellow in 2017. He is one of 47 awardees of the Google PhD Fellowship in the world. The Google PhD Fellowship awards students showing outstanding performance in the field of computer science and related research. Since being established in 2009, the program has provided various benefits, including scholarships worth $10,000 USD and one-to-one research discussion with mentors from Google. His research work on a mobile system that allows interactions among various kinds of smart devices was recognized in the field of mobile computing. He developed a mobile platform that allows smart devices to share diverse functions, including logins, payments, and sensors. This technology provides numerous user experiences that existing mobile platforms could not offer. Through cross-device functionality sharing, users can utilize multiple smart devices in a more convenient manner. The research was presented at The Annual International Conference on Mobile Systems, Applications, and Services (MobiSys) of the Association for Computing Machinery in July, 2017. Oh said, “I would like to express my gratitude to my advisor, the professors in the School of Computing, and my lab colleagues. I will devote myself to carrying out more research in order to contribute to society.” His advisor, Insik Shin, a professor in the School of Computing said, “Being recognized as a Google PhD Fellow is an honor to both the student as well as KAIST. I strongly anticipate and believe that Oh will make the next step by carrying out good quality research.”
2017.09.27 View 15237
Semiconductor Patterning of Seven Nanometers Technology Using a Camera Flash A research team led by Professor Sang Ouk Kim in the Department of Materials Science and Engineering at KAIST has developed semiconductor manufacturing technology using a camera flash. This technology can manufacture ultra-fine patterns over a large area by irradiating a single flash with a seven-nanometer patterning technique for semiconductors. It can facilitate the manufacturing of highly efficient, integrated semiconductor devices in the future. Technology for the Artificial Intelligence (AI), the Internet of Things (IoTs), and big data, which are the major keys for the fourth Industrial Revolution, require high-capacity, high-performance semiconductor devices. It is necessary to develop lithography technology to produce such next-generation, highly integrated semiconductor devices. Although related industries have been using conventional photolithography for small patterns, this technique has limitations for forming a pattern of sub-10 nm patterns. Molecular assembly patterning technology using polymers has been in the spotlight as the next generation technology to replace photolithography because it is inexpensive to produce and can easily form sub-10 nm patterns. However, since it generally takes a long time for heat treatment at high-temperature or toxic solvent vapor treatment, mass production is difficult and thus its commercialization has been limited. The research team introduced a camera flash that instantly emits strong light to solve the issues of polymer molecular assembly patterning. Using a flash can possibly achieve a semiconductor patterning of seven nanometers within 15 milliseconds (1 millisecond = 1/1,000 second), which can generate a temperature of several hundred degrees Celsius in several tens of milliseconds. The team has demonstrated that applying this technology to polymer molecular assembly allows a single flash of light to form molecular assembly patterns. The team also identified its compatibility with polymer flexible substrates, which are impossible to process at high temperatures. Through these findings, the technology can be applied to the fabrication of next-generation, flexible semiconductors. The researchers said the camera flash photo-thermal process will be introduced into molecular assembly technology and this highly-efficiency technology can accelerate the realization of molecular assembly semiconductor technology. Professor Kim, who led the research, said, “Despite its potential, molecular assembly semiconductor technology has remained a big challenge in improving process efficiency.” “This technology will be a breakthrough for the practical use of molecular assembly-based semiconductors.” The paper was published in the international journal, Advanced Materials on August 21 with first authors, researcher Hyeong Min Jin and PhD candidate Dae Yong Park. The research, sponsored by the Ministry of Science and ICT, was co-led Professor by Keon Jae Lee in the Department of Materials Science and Engineering at KAIST, and Professor Kwang Ho Kim in the School of Materials Science and Engineering at Pusan National University. (1. Formation of semiconductor patterns using a camera flash) (Schematic diagram of molecular assembly pattern using a camera flash) (Self-assembled patterns)
2017.09.18 View 12893
Professor Jin Woo Kim Wins the 14th Macrogen Scientist Award Professor Jin Woo Kim of the Department of Biological Sciences at KAIST received the 14th Macrogen Scientist Award at the 2017 KSMCB International Conference held in COEX on September 12, 2017. The award is given by the Korean Society for Molecular and Cellular Biology (KSMCB) and sponsored by Macrogen, a service provider of genome research. The award was established in 2004 to recognize biological scientists who have accomplished excellent performance in the field of basic life sciences. Professor Kim has achieved outstanding research performances on nerve development, such as identifying the cause of senile retinal degenerative disease and finding retinal nerve cells that distinguish light and darkness in dark conditions. Recently, he discovered intercellular communication, which controls the development of retinal neurons. His findings have contributed to addressing the principles of maintenance and regeneration of retinal neurons. Since joining KAIST, he has presented approximately 20 papers and published in numerous international journals including Cell Reports, Genes and Development, and EMBO Journal. Moreover, he delivered special lectures at international conferences, universities, and institutes around the world.
2017.09.14 View 11521
Hyosung R&DB Labs to Teach Special Class on High Molecule Chemistry for the Fall Semester The Department of Chemistry in collaboration with the Hyosung Group’s R&DB Labs will open a ‘special class on high molecule chemistry’ for Masters and Ph.D. candidates. The class, led by researchers at Hyosung’s R&D think tank, will provide the latest market and technology trends in the molecule chemical industry during the fall semester. Hyosung joined this special industry program in an effort to enhance students’ hands-on understanding of new technologies that will emerge in the global market. During the semester, Hyosung plans to present the technology portfolios on their brand new materials of TAC film, membrane, and carbon fiber as well as the existing products leading the world in market share such as spandex, tire cords. Hyosung plans to recruit students who previously took courses led by Hyosung researchers. President Tu-Won Chang of Hyosung R&DB said, “This program is designed to foster highly qualified R&D personnel especially catering to our company’s needs and market demands. We will continue to share our company’s market analysis and R&D know-how with outstanding universities.
2017.09.07 View 6463
Professor Dae-Sik Im to Head the Science, Technology and Innovation Office at the Ministry of Science & ICT (Professor Dae-Sik Im of the Department of Biological Sciences) Professor Dae-Sik Im of the Department of Biological Sciences, a renowned molecular cell biologist, was named to head the Science, Technology and Innovation Office in the Ministry of Science and ICT on August 31. He will be responsible for the oversight of national R&D projects as well as budget deliberation. Joining the KAIST faculty in 2002, he led the Creative Research Center of Cell Division and Differentiation at KAIST. Announcing the nomination of Professor Im, Cheong Wa Dae spokesman Park Soo-Hyun said, “Professor Im will be the best person to lead the innovation of the research infrastructure system for basic research studies. We believe that his expertise and leadership will make a significant impact in enhancing the nation’s science and technology competitiveness. This vice minister position in the Ministry of Science and ICT was newly created in an effort to enhance national science and technology initiatives by President Moon Jae-In. Professor Im said at the news conference, “I would like to make a sustainable, as well as credible, system ensuring the ingenuity of scientists in Korean labs. To this end, I will make every effort to enhance Korea’s innovative research environment in a way to maximize research achievements.”
2017.09.03 View 11331
Discovery of an Optimal Drug Combination: Overcoming Resistance to Targeted Drugs for Liver Cancer A KAIST research team presented a novel method for improving medication treatment for liver cancer using Systems Biology, combining research from information technology and the life sciences. Professor Kwang-Hyun Cho in the Department of Bio and Brain Engineering at KAIST conducted the research in collaboration with Professor Jung-Hwan Yoon in the Department of Internal Medicine at Seoul National University Hospital. This research was published in Hepatology in September 2017 (available online from August 24, 2017). Liver cancer is the fifth and seventh most common cancer found in men and women throughout the world, which places it second in the cause of cancer deaths. In particular, Korea has 28.4 deaths from liver cancer per 100,000 persons, the highest death rate among OECD countries and twice that of Japan. Each year in Korea, 16,000 people get liver cancer on average, yet the five-year survival rate stands below 12%. According to the National Cancer Information Center, lung cancer (17,399) took the highest portion of cancer-related deaths, followed by liver cancer (11,311) based on last year data. Liver cancer is known to carry the highest social cost in comparison to other cancers and it causes the highest fatality in earlier age groups (40s-50s). In that sense, it is necessary to develop a new treatment that mitigates side effects yet elevates the survival rate. There are ways in which liver cancer can be cured, such as surgery, embolization, and medication treatments; however, the options become limited for curing progressive cancer, a stage in which surgical methods cannot be executed. Among anticancer medications, Sorafenib, a drug known for enhancing the survival rate of cancer patients, is a unique drug allowed for use as a targeted anticancer medication for progressive liver cancer patients. Its sales reached more than ten billion KRW annually in Korea, but its efficacy works on only about 20% of the treated patients. Also, acquired resistance to Sorafenib is emerging. Additionally, the action mechanism and resistance mechanism of Sorafenib is only vaguely identified.Although Sorafenib only extends the survival rate of terminal cancer patients less than three months on average, it is widely being used because drugs developed by global pharmaceutical companies failed to outperform its effectiveness. Professor Cho’s research team analyzed the expression changes of genes in cell lines in response to Sorafenib in order to identify the effect and the resistance mechanism of Sorafenib. As a result, the team discovered the resistance mechanism of Sorafenib using Systems Biology analysis. By combining computer simulations and biological experiments, it was revealed that protein disulfide isomerase (PDI) plays a crucial role in the resistance mechanism of Sorafenib and that its efficacy can be improved significantly by blocking PDI. The research team used mice in the experiment and discovered the synergic effect of PDI inhibition with Sorafenib for reducing liver cancer cells, known as hepatocellular carcinoma. Also, more PDIs are shown in tissue from patients who possess a resistance to Sorafenib. From these findings, the team could identify the possibility of its clinical applications. The team also confirmed these findings from clinical data through a retrospective cohort study. “Molecules that play an important role in cell lines are mostly put under complex regulation. For this reason, the existing biological research has a fundamental limitations for discovering its underlying principles,” Professor Cho said. “This research is a representative case of overcoming this limitation of traditional life science research by using a Systems Biology approach, combining IT and life science. It suggests the possibility of developing a new method that overcomes drug resistance with a network analysis of the targeted drug action mechanism of cancer.” The research was supported by the National Research Foundation of Korea (NRF) and funded by the Ministry of Science and ICT. (Figure 1. Simulation results from cellular experiments using hepatocellular carcinoma) (Figure 2. Network analysis and computer simulation by using the endoplasmic reticulum (ER) stress network) (Figure 3. ER stress network model)
2017.08.30 View 13869