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This text provides an overview of the current methodological strategies in computer-aided drug discovery and design.

Produktbeschreibung
This text provides an overview of the current methodological strategies in computer-aided drug discovery and design.

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Autorenporträt
Claudio N. Cavasotto earned his MSc and PhD in physics from the University of Buenos Aires. He conducted his postdoctoral training at The Scripps Research Institute after which in 2002 he moved to MolSoft LLC, La Jolla, California, as senior research scientist, where he remained until 2007. He then became assistant and associate professor at the School of Biomedical Informatics at the University of Texas Health Science Center at Houston. In 2012 he moved to the Biomedicine Research Institute of Buenos Aires-Partner Institute of the Max Planck Society, where he is head of Computational Chemistry and Drug Design. His research interests are primarily biomolecular simulation, computer-aided drug discovery and cheminformatics. His group develops and applies computational methods to study molecular interactions in biological systems, and to design molecules which modulate targets of pharmaceutical relevance.
Rezensionen
"... an ambitious book which delivers a great deal of material in one volume. ... a useful addition to the small number of accessible and authoritative books on the subject."
-ChemMedChem, 2016, 11, 638

"... With this book the lids on the algorithm black boxes are lifted and all within the field can clearly see their inner workings. ... This book also has the capacity to enthusiastically galvanize those at the cutting-edge of algorithm development. The Thorny problems remaining are illuminated and attacked with vigor, such as how target flexibility and solvation at molecular interfaces can be more accurately modeled and how this may ultimately feed into a better determination of BINDING free energies and the calculation of accurate kinetic parameters."
-Dr. Paul A Bates, The Francis Crick Institute

"... a solid, current, well-written and well-organized set of reviews of important topics in in silico drug discovery. It should be useful for readers, ranging from students to senior scientists, who are looking for accessible overviews of this material."
-Mike Gilson, University of California, San Diego, USA