CBI学术报告
Title: Informatics approaches to understand drug response
Speaker: Dr. Russ Biagio Altman
Professor of Bioengineering, Genetics, Medicine and Biomedical Data Science
Director, Biomedical Informatics Training Program
Co-Director, FDA Center for Excellence in Regulatory Science & Innovation
Stanford University
Time: 15:30-17:00, Friday, Sept 7, 2018

Location: Room 101, New Life Sciences Building, Peking University

Abstract:
Our group is focused on informatics in support of understanding how drugs work at the molecular level, and how they cause their side effects. Much of this work is motivated by our work creating the Pharmacogenomics knowledgeable (PharmGKB, http://www.pharmgkb.org/) which focuses on the genetic influences on drug response, and which requires detailed understanding of the molecular, cellular, and organismal response to drugs. As a result, we are particularly interested in literature mining to extract gene-drug-disease relationships, and have developed several methods that can be applied on a large scale for extracting this information, and then using it to create networks of relations. These networks can be used to infer opportunities for understanding drug side effects, drug repurposing opportunities, and uses of drugs in combination. We are also interested in network based methods that allow us to integrate protein-interaction networks with expression data to create patient-specific networks that are able to predict drug response in an individualized manner. Finally, we use threedimensional structure and machine learning methods to understand the off-target binding behavior of drugs, and this may impact their efficacy, safety and use in combinations. This talk will summarize these three strands of work, and how they integrate into a system for understanding drug response.

Bio:
Russ Biagio Altman is a professor of bioengineering, genetics, medicine, and biomedical data science (and of computer science, by courtesy) and past chairman of the Bioengineering Department at Stanford University. His primary research interests are in the application of computing and informatics technologies to problems relevant to medicine. He is particularly interested in methods for understanding drug action at molecular, cellular, organism and population levels. His lab studies how human genetic variation impacts drug response (e.g. http://www.pharmgkb.org/). Other work focuses on the analysis of biological molecules to understand the actions, interactions and adverse events of drugs (http://feature.stanford.edu/). He helps lead an FDA-supported Center of Excellence in Regulatory Science & Innovation (https://pharm.ucsf.edu/cersi). Dr. Altman holds an A.B. from Harvard College, and M.D. from Stanford Medical School, and a Ph.D. in Medical Information Sciences from Stanford. He received the U.S. Presidential Early Career Award for Scientists and Engineers and a National Science Foundation CAREER Award. He is a fellow of the American College of Physicians (ACP), the American College of Medical Informatics (ACMI), the American Institute of Medical and Biological Engineering (AIMBE), and the American Association for the Advancement of Science (AAAS). He is a member of the National Academy of Medicine (formerly the Institute of Medicine, IOM) of the National Academies. He is a past-President, founding board member, and a Fellow of the International Society for Computational Biology (ISCB), and a past-President of the American Society for Clinical Pharmacology & Therapeutics (ASCPT). He has chaired the Science Board advising the FDA Commissioner, currently serves on the NIH Director’s Advisory Committee, and is Co-Chair of the IOM Drug Forum. He is an organizer of the annual Pacific Symposium on Biocomputing (http://psb.stanford.edu/), and a founder of Personalis, Inc. Dr. Altman is board certified in Internal Medicine and in Clinical Informatics. He received the Stanford Medical School graduate teaching award in 2000, and mentorship award in 2014. In 2018, Altman was awarded the ISCB Outstanding Contributions Award.
Dr. Russ Altman`s Website: https://people.stanford.edu/rbaltman/
欢迎各位老师同学积极参加！