In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications

Author:   Claudio N. Cavasotto
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138747586


Pages:   560
Publication Date:   26 July 2017
Format:   Paperback
Availability:   In Print   Availability explained
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In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications


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Author:   Claudio N. Cavasotto
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.771kg
ISBN:  

9781138747586


ISBN 10:   1138747580
Pages:   560
Publication Date:   26 July 2017
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

The Physical Basis of Ligand Binding. Force-Field Representation of Biomolecular Systems. Library Design, Chemical Space, and Drug Likeness. Ligand-Based Drug Discovery and Design. Pharmacophore Modeling and Pharmacophore-Based Virtual Screening. Protein-Ligand Docking: From Basic Principles to Advanced Applications. Protein-Ligand Docking: Virtual Screening and Applications to Drug Discovery. Protein Structure Modeling in Drug Design. Implicit Solvation Methods in the Study of Ligand-Protein Interactions. Toward Complete Cellular Pocketomes and Predictive Polypharmacology. MM-GB/SA Rescoring of Docking Poses: Tricks of the Trade. Free Energy Calculations of Ligand-Protein Binding. Molecular Mechanics/Coarse-Grained Simulations as a Structural Prediction Tool for GPCRs/Ligand Complexes. Fragment-Based Methods in Drug Design. Role of Water Molecules and Hydration Properties in Modeling Ligand-Protein Interaction and Drug Design. How Protein Flexibility Can Influence Docking/Scoring Simulations. In Silico Approaches Assisting the Rational Design of Low Molecular Weight Protein-Protein Interaction Modulators. Incorporating Binding Kinetics in Drug Design.

Reviews

... 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


... 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


... 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


Author Information

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.

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