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Kuo-Chen Chou

Kuo-Chen Chou

President and Founder
Gordon Life Science Institute
USA

Biography

Dr. Kuo-Chen Chou is the founder of Gordon Life Science Institute. He is also a Distinguished High Impact Professor and Advisory Professor of several Universities. As of November 2016, Professor Chou has published over 526 papers in the fields of computational biology and biomedicine, protein structure prediction, low-frequency internal motion of protein/DNA molecules and its biological functions, diffusion-controlled reactions of enzymes, as well as graphic rules in enzyme kinetics and other biological systems. For more information about his publications, click his ResearchID or Google-Scholar for Kuo-Chen Chou. Professor Chou’s awards include: “Medal of Science and Technology” (awarded by Shanghai Congress of Science & Technology, 1977); “National Science Medal” (awarded by the National Academy of Sciences, China, 1978); “The Scientist with the most hot papers (2007-2008) in the world” (honored by Web of Science, 2008); “The high impact distinguished professor” (honored by the Center of Excellence in Genomic Medical Research, 2013); “First-Class Science & Technology Award” (honored by Shanghai Municipal People’s Government, 2015); “2014 Highly Cited Researcher in the field of Biology & Biochemistry and Computer Science” (honored by Thomson Reuters); “2015 Highly Cited Researcher in the field of Biology & Biochemistry” (honored by Thomson Reuters), and “2016 Highly Cited Researcher in the field of Biology & Biochemistry and Computer Science” (honored by Thomson Reuters), being listed in the world’s most influential scientific minds. Professor Chou was the General Chair for 2007 – 2013 annual iCBBE (International Conference on Bioinformatics and Biomedical Engineering), and Honorary General Chair for the 2014, 2015, and 2016 iCBBE. For more information about Professor Kuo-Chen Chou, see his webpage at http://www.scirp.org/kcchou/.

Research Interest

Computational Biology, Bioinformatics, Biomedicine, Protein Structure Prediction, Low-frequency internal motion of Protein and DNA and its biological functions, diffusion-controlled reactions of enzymes, as well as graphic rules in enzyme kinetics and other biological systems