Ruth Nussinov


Ruth Nussinov is a Professor in the School of Medicine, Tel Aviv University and Senior Principal Scientist and Principal Investigator at the National Cancer Institute.

After receiving her B.Sc. from the University of Washington, Seattle and Ph.D. in Biochemistry from Rutgers, she was a Fellow at the Weizmann Institute and a Visiting Scientist at the Chemistry Department at Berkeley and at the Biochemistry Department at Harvard. She joined Tel Aviv University in 1985 as Associate Professor and became Full Professor in 1990. Her association with the NCI also initiated in 1985.

Ruth Nussinov's 1978 paper proposed the dynamic programming algorithm for RNA secondary structure prediction. To date, this algorithm is still the leading method and is taught in bioinformatics classes in universities across Europe and the US. She also pioneered DNA sequence analysis in the early 1980s.

Ruth Nussinov's work is largely concept-driven. In 1999, her NCI group proposed the model of 'conformational selection and population shift' as an alternative to ‘induced fit’ to explain molecular recognition. While biochemistry textbooks have championed the induced fit mechanism for more than 50 years, there is now growing support for the new mechanism that she proposed. The concept of population shift that her group introduced emphasized that all conformational states preexist, and that evolution has exploited them for function. Recently, NMR studies directly revealed the preexistence of in vivo protein conformations. Conformational selection has by now been observed for protein–ligand, protein–protein, protein–DNA, protein–RNA, and RNA–ligand interactions. These observations support this new molecular recognition paradigm for processes as diverse as signaling, catalysis, gene regulation, and protein aggregation in disease. This paradigm has impacted the scientific community's views and strategies in drug design, biomolecular engineering, and molecular evolution. Population shift is now broadly recognized as the origin of allostery, and thus signaling, across multimolecular complexes, pathways, and the entire cellular network; the propagation pathways may explain the effects of allosteric, disease-related mutations.

Ruth Nussinov was a recipient of the 2011 Biophysical Society Fellow Award for her extraordinary contributions to advances in computational biology on both nucleic acids and proteins. She has coauthored over 440 scientific papers and is highly cited. Her research focuses on protein structure, dynamics, function, protein–protein interactions, and cellular signaling. She is a frequent speaker in colloquia and at domestic and international meetings, serves on many site-visit and grant-review teams, and plays numerous roles in the scientific community.

Jason Papin


Jason Papin is a Professor in the Department of Biomedical Engineering at the University of Virginia.

After his training in Bioengineering at the University of California, San Diego, Jason Papin joined the faculty at the University of Virginia in 2005.

His lab works on problems in systems biology, metabolic network analysis, infectious disease, toxicology, and cancer, developing computational approaches for integrating high-throughput data into predictive computational models. He manages a lab with both experimental and computational activities and his research group has had continuous support with funding from the National Institutes of Health, National Science Foundation (including as a CAREER award recipient), Department of Defense, Department of Energy, and several private foundations and companies. Jason is an elected fellow of the American Institute of Medical and Biological Engineering.

Jason has served as an Associate Editor, Deputy Editor, and Deputy-Editor-in-Chief of PLOS Computational Biology as well as on the editorial board of other journals in the field of computational biology. His service to the scientific community also includes effort as an elected member of the Board of Directors of the Biomedical Engineering Society, as a standing member of the Biodata Management and Analysis (BDMA) NIH study section, and numerous other review panels of federal funding agencies.

His teaching and mentoring have been recognized with receipt of awards for “Excellence in Biomedical Engineering Undergraduate Education” and he currently serves as the director of the Biomedical Engineering graduate program at the University of Virginia.

Jason’s work also bridges the basic-translational axis with recognition as an inventor on several disclosures of intellectual property, in addition to consulting with multiple biotechnology companies. 

Philip E. Bourne

Founding Editor-in-Chief


Philip E. Bourne is the Stephenson Chair of Data Science, Director of the Data Science Institute, and a Professor of Biomedical Engineering at the University of Virginia. Previously he was Associate Director for Data Science at the National Institutes of Health, Associate Vice Chancellor for Innovation and Industrial Alliances and a Professor in the Skaggs School of Pharmacy and Pharmaceutical Sciences at the University of California San Diego, Associate Director of the RCSB Protein Data Bank (PDB), Senior Advisor to the Life Sciences at the San Diego Supercomputer Center (SDSC), and an Adjunct Professor at the Sanford Burnham Institute.

Philip E. Bourne received his Ph.D. in chemistry from the Flinders University of South Australia in 1980. In the early 80's he was a postdoctoral fellow in structural biology, first at the University of Sheffield, UK and later at Columbia University, New York. During the late 80's as first the Director of the Columbia University Cancer Center Computer Facility and later as Director of the Medical School Computer Facility he worked in computational biology and medical informatics. In the early 90's he joined the Howard Hughes Medical Institute and worked on developing high performance hardware and software for computational structural biology. He moved to the University of California San Diego in 1995 to work on structural bioinformatics. His current research interests are in structural genomics, the structural basis of evolution, immunology, apoptosis, cell signaling, and drug discovery, while developing new methods for data and knowledge modeling, scientific visualization and scholarly communication.

Philip E. Bourne is an elected Fellow of the American Association for the Advancement of Science, the International Society of Computational Biology (ISCB), and the American Medical Informatics Association and past President of the International Society for Computational Biology. He is the author of over 300 scientific papers and author of 4 books, including text books in structural bioinformatics and pharmacy informatics. He has received two UCSD Connect Awards for new inventions in the areas of comparative protein structure analysis and shared visualization. He was the recipient of the 2002 Sun Microsystems Convergence Award and the 2004 Convocation Medal for career achievement from his graduate university. Most recently he was the recipient of the 2009 Benjamin Franklin Award and 2010 Jim Gray eScience Award for his service to open science. He has co-founded four companies, including