The rapid development of efficient computational tools has allowed researchers to tackle biological problems and to predict, analyse and monitor, at an atomic level, molecular recognition processes. This book offers a fresh perspective on how computational tools can aid the chemical biology research community and drive new research.
Chapters from internationally renowned leaders in the field introduce concepts and discuss the impact of technological advances in computer hardware and software in explaining and predicting phenomena involving biomolecules, from small molecules to macromolecular systems. Important topics from the understanding of biomolecules to the modification of their functions are addressed, as well as examples of the application of tools in drug discovery, glycobiology, protein design and molecular recognition. Not only are the cutting-the-edge methods addressed, but also their limitations and possible future development.
For anyone wishing to learn how computational chemistry and molecular modelling can provide information not easily accessible through other experimental methods, this book will be a valuable resource. It will be of interest to postgraduates and researchers in the biological and chemical sciences, medicinal and pharmaceutical chemistry, and theoretical chemistry.
Sonsoles Martin-Santamaria completed her PhD in Organic and Pharmaceutical Chemistry in 1998 at the University Complutense of Madrid. Following postdoctoral work at Imperial College London and at the Univercity of Alcala, she joined the University CEU San Pablo in Madrid as a "Ramon y Cajal" Researcher. Since 2012 she has been the Principal Investigator of the "Computational Chemical Biology" group at the University CEU San Pablo and, since 2014, has been a staff scientist for CIB-CSIC, Madrid.