Protein Bioinformatics : From Sequence to Function

One of the most pressing tasks in biotechnology today is to unlock the function of each of the thousands of new genes identified every day. Scientists do this by analyzing and interpreting proteins, which are considered the task force of a gene. This single source reference covers all aspects of proteins, explaining fundamentals, synthesizing the latest literature, and demonstrating the most important bioinformatics tools available today for protein analysis, interpretation and prediction. Students and researchers of biotechnology, bioinformatics, proteomics, protein engineering, biophysics, computational biology, molecular modeling, and drug design will find this a ready reference for staying current and productive in this fast evolving interdisciplinary field.

• Explains all aspects of proteins including sequence and structure analysis, prediction of protein structures, protein folding, protein stability, and protein interactions
• Presents a cohesive and accessible overview of the field, using illustrations to explain key concepts and detailed exercises for students.

Michael is a frequent invited speaker to local conferences and universities in India and to

international conferences focused on bioinformatics, computational biology and

molecular biology. He maintains close connections with research and teaching

colleagues in India and contributes to international publications including handbooks,

encyclopedias and journals. He began his research on Computational Molecular

Biophysics in 1989, earning the PhD in BioPhysics from Bharathidasan University,

India. He gained his first Post Doctoral experience on DNA bending and protein-DNA

interactions at International Center for Genetic Engineering and Biotechnology (ICGEB),

Italy. He developed databases for proteins and computer simulation of protein-DNA

interactions during his subsequent postdoc at The Institute of Physical and Chemical

Research (RIKEN), Japan. At AIST he continues to focus on various aspects of protein

bioinformatics.