Chinese Academy of Sciences
Professor Naomie Binti Salim
Professor Dr Naomie Salim is a professor at the Faculty of Computing Universiti Teknologi Malaysia. She received her PhD from University of Sheffield United Kingdom in 2003, MSc from Western Michigan University USA in 1992 and BSc from Universiti Teknologi Malaysia in 1989. Her research is mainly on the design of new algorithms to improve the effectiveness of searching and mining new knowledge from various kinds of datasets, including unstructured, semi-structured and structured databases. The current focus of her research is on chemical databases and text databases to support the process of computer-aided drug design, text summarisation, plagiarism detection, automatic information extraction, sentiment analysis and recommendation systems. In terms of improvements in molecular similarity searching, her approaches include modification of the Simple Matching Similarity Measure with bit-string re-weighting, probabilistic-based compound searching, Bayesian network-based similarity measures, fragment selection, fragment weightings, relevance feedbacks, fuzzy coefficients, quantum-based similarity searching, Multilevel Neighborhoods of Atoms molecular structure descriptors, shape-based similarity measures and deep learning. A new method for the selection of representative subsets of compounds from chemical databases has also been proposed based on an improved chemical space representation and alpha shape theory. She also studied a number of clustering techniques for clustering chemical compounds databases and uses consensus clustering improve the clustering results in compound selection of chemical databases. In addition, she studied automatic detection of adverse drug effects from medical reports can help regulatory authorities in rapid information screening and extraction to accelerate the generation of medical decision support and safety alerts. The output of the research has been incorporated into a number of software such as UTMChem Workbench, KimiaSpace and NADI Natural Products Database System to support drug design and drug optimisation process.
Professor Salim has been involved in 53 research projects out of which she heads 21 of the projects. She has authored over 170 journal articles. 160 of her articles are indexed under Scopus and 84 are indexed under Web of Science. Her Google Scholar h-Index is 21, and she has 1931 citations to date. Her Scopus H-index is 14 with 733 Scopus-indexed citations. Among the research and innovation awards received by Professor Salim are the PECIPTA 2011 Gold Medal award for her UTMCLP cross-language semantic plagiarism detection system, the I-inova 2010 Gold Medal award for her Islamic Ontology-based Quran search engine, BioInnovation 2011 Bronze Award for UTMChem Workbench Molecular Database System, iPhex Gold Medal Award for innovation in teaching and learning, UTM 2011 Best Research Award, UTM 2014 Best Research Award and the INATEX Distinction Award (1998). She is a fellow of Japan Society for the Promotion of Science (JSPS), the head of Soft Computing Research Group UTM, Associate Member of UTM Big Data Centre and a UTM Senate Member.
Associate Professor J.B. Brown
Dr. J.B. Brown was a post-bachelor researcher at the US National Institutes of Health in 2013 after completing dual degrees in computer science and mathematics at the University of Evansville in the United States.
At NIH he contributed to the development of virtual colonoscopy for routine clinical application.
At the end of 2013, J.B. was selected by the Japanese government for a full graduate school scholarship, and moved to Kyoto University in 2004.
There, he completed his M.S. and Ph.D. degrees in bio- and chemo- informatics in 2010.
As a post-doc from 2010 to 2013 at Kyoto University's Graduate School of Pharmaceutical Sciences, he wrote many articles on computational chemogenomics for drug discovery which have been frequently cited.
Since 2014 he has been a faculty member in Kyoto University's Graduate School of Medicine, where he is involved in both clinical research and continued development of computational methods for drug discovery.
At the same time, since 2014 he has volunteered as the official facilitator of the JCUP drug discovery event held in Tokyo (primary organizer: OpenEye Scientific Software), participating as a scientist, speaker, coordinator, and Japanese-English interpreter.
Based on his contributions to both informatics and medical life science research, in 2015 he was awarded a permanent, independent position within the Graduate School of Medicine, and now runs the Life Science Informatics Research Unit, with research topics including drug discovery, clinical informatics, and next-generation sequencing data processing and interpretation.
Aside from research, J.B. spends his time with his wife and two children ages 1 and 3, and enjoys watching the games of his brother who is a professional football/soccer player.
Professor Qingsong Liu
Chinese Academy of Sciences
Prof. Qingsong Liu is currently a drug discovery team leader in High Magnetic Field Laboratory, Chinese Academy of Sciences which is located in Hefei, P.R.China. He obtained BS of Chemistry from Nankai University (China) in 2001 and Ph.D in Texas A&M University (USA) in 2006. After 1 year postdoc experience in Biological Chemistry and Molecule Pharmacology at Harvard Medical School, He joined Dana-Farber Cancer Institute in 2007 as a research fellow and working there until 2012 when was recruited to back to China. He joined High magnetic Field Laboratory as a principle investigator and lead a comprehensive drug discovery team there. Dr. Liu’s main research interests are focusing on the multiple technologies (including NMR and computer facilitated HTS, SBDD, FBDD, as well as target based phenotypic HTS) directed drug discovery for anti-cancer therapies. He is author/co-authors of over 80 research papers including Nature, Nature biotechnology, Cell, Cancer Cell, Cancer Discovery, Leukemia, J. Med. Chem. etc and applied over 35 drug discovery related patents.
Professor Dr. Sheng-Yong Yang
Sheng-Yong Yang, Dr., Professor of the State Key Laboratory of Biotherapy, West China Hospital, Sichuan University (Sichuan, China). Dr. Yang obtained his PhD degree from Sichuan University in 1999. After that, he did his postdoc research in Hongkong University of Science and Technology from 1999-2001. In 2002-2005, he joined Prof. Tom Ziegler’s group (University of Calgary, Alberta, Canada) as a research scientist. In the end of 2005, he was recruited as a professor of the State Key Laboratory of Biotherapy, West China Hospital, Sichuan University. His research spans methodology of computer aided drug discovery (CADD), and research and development (R&D) of small molecule targeted drugs. Up to now, Dr. Yang has published more than 160 papers in international journals, including JACS, Angew chem Int Ed, Leukemia, Drug Disc Today, JMC, Clin Cancer Res, and JCIM et al. He has developed a number of CADD methods, including PhDD, RASA, SCADMET, GA-CG-SVM, ID-score, and TarPred. Five drug candidates have been transferred to pharmaceutical companies, and one has entered clinical trials. Dr. Yang was awarded the Cheung Kong Scholar of the Ministry of Education (MOE), and won the Life and Chemistry Research Award of Wuxi Pharma Tech in 2012. He received the National Science Fund for Distinguished Young Scholars in 2013.