PHYSICO CHEMICAL AND COMPUTATIONAL APPROACHES TO DRUG DISCOVERY (HB 2012)
Language: English
Published by Royal Society of Chemistry, 2012
- Hardcover
- New

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- Title
- PHYSICO CHEMICAL AND COMPUTATIONAL APPROACHES TO DRUG DISCOVERY (HB 2012)
- Author
- LUQUE J
- Publisher
- Royal Society of Chemistry
- Publication year
- 2012
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1849733538
- ISBN 13
- 9781849733533
Molecular modeling and simulation play a central role in academic and industrial research focused on physico-chemical properties and processes. The efforts carried out in this field have crystallized in a variety of models, simulation methods, and computational techniques that are examining the relationship between the structure, dynamics and functional role of biomolecules and their interactions. In particular, there has been a huge advance in the understanding of the molecular determinants that mediate the interaction between small compounds acting as ligands and their macromolecular targets. This book provides an updated description of the advances experienced in recent years in the field of molecular modeling and simulation of biomolecular recognition, with particular emphasis towards the development of efficient strategies in structure-based drug design.
"Synopsis" may belong to another edition of this title.
About the Author
F Javier Luque is a Professor at the Department of Physical Chemistry in the University of Barcelona, and leader of the Computational Biology and Drug design group at the Institute of Biomedicine. He received his BA degree in Chemistry from the Universitat Autonoma de Barcelona in 1985 and his PhD in Chemistry from the Universitat Autonoma de Barcelona in 1989. He joined the Departament de Fisicoquimica in 1986, and was appointed Associate Professor in Physical Chemistry in 1992, and in 2003, he was promoted to the position of Full Professor. His research interests are the theoretical representation of chemical reactivity and the modeling of solvation effects, the simulation of biochemical systems, with particular emphasis in the dynamical description of the structure-function relationships in proteins, and in the interaction between ligand and macromolecular receptors, specially orientated to structure-based drug discovery.
"About the title" may belong to another edition of this title.
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