A Computational Framework For Inferring Structure Function And Evolution Of Proteins

A Computational Framework for Inferring Structure, Function, and Evolution of Proteins

Catalyzing Inquiry at the Interface of Computing and Biology

Advances in computer science and technology and in biology over the last several years have opened up the possibility for computing to help answer fundamental questions in biology and for biology to help with new approaches to computing. Making the most of the research opportunities at the interface of computing and biology requires the active participation of people from both fields. While past attempts have been made in this direction, circumstances today appear to be much more favorable for progress. To help take advantage of these opportunities, this study was requested of the NRC by the National Science Foundation, the Department of Defense, the National Institutes of Health, and the Department of Energy. The report provides the basis for establishing cross-disciplinary collaboration between biology and computing including an analysis of potential impediments and strategies for overcoming them. The report also presents a wealth of examples that should encourage students in the biological sciences to look for ways to enable them to be more effective users of computing in their studies.

Bioinformatics

The genomic revolution that has spawned microarrays and high throughput technologies has produced vast amounts of complex biological data that require integration and multidimensional analysis. Bioinformatics incorporates sub-disciplines ranging from databases and ontologies to the modelling of complex biological systems by way of molecular evolution and protein structure prediction. This new book provides state-of-the-art research from around the world.