New PDF release: Molecular Interaction Fields: Applications in Drug Discovery

By Gabriele Cruciani, Raimund Mannhold, Hugo Kubinyi, Gerd Folkers

ISBN-10: 3527310878

ISBN-13: 9783527310876

ISBN-10: 3527607676

ISBN-13: 9783527607679

This designated reference resource, edited by means of the world's most valuable specialist on molecular interplay box software program, covers all proper ideas of the GRID strength box and its purposes in medicinal chemistry. whole chapters on 3D-QSAR, pharmacophore searches, docking stories, metabolism predictions and protein selectivity reviews, between others, provide a concise review of this rising box. As an further bonus, this guide features a CD-ROM with the newest advertisement types of the GRID software and similar software.Content:
Chapter 1 the elemental rules of GRID (pages 1–25): Peter Goodford
Chapter 2 Calculation and alertness of Molecular interplay Fields (pages 27–42): Rebecca C. Wade
Chapter three Protein Selectivity stories utilizing GRID?MIFs (pages 43–82): Thomas Fox
Chapter four FLAP: 4?Point Pharmacophore Fingerprints from GRID (pages 83–102): Francesca Perruccio, Jonathan S. Mason, Simone Sciabola and Massimo Baroni
Chapter five The Complexity of Molecular interplay: Molecular form Fingerprints via the PathFinder process (pages 103–116): Iain McLay, Mike Hann, Emanuele Carosati, Gabriele Cruciani and Massimo Baroni
Chapter 6 Alignment?independent Descriptors from Molecular interplay Fields (pages 117–143): Manuel Pastor
Chapter 7 3D?QSAR utilizing the GRID/GOLPE process (pages 145–170): Wolfgang Sippl
Chapter eight Use of MIF?based VolSurf Descriptors in Physicochemical and Pharmacokinetic experiences (pages 171–196): Raimund Mannhold, Giuliano Berellini, Emanuele Carosati and Paolo Benedetti
Chapter nine Molecular interplay Fields in ADME and security (pages 197–218): Giovanni Cianchetta, Yi Li, Robert Singleton, Meng Zhang, Marianne Wildgoose, David Rampe, Jiesheng Kang and Roy J. Vaz
Chapter 10 development in ADME Prediction utilizing GRID?Molecular interplay Fields (pages 219–247): Ismael Zamora, Marianne Ridderstrom, Anna?Lena Ungell, Tommy Andersson and Lovisa Afzelius
Chapter eleven quick ADME Filters for Lead Discovery (pages 249–272): Tudor I. Oprea, Paolo Benedetti, Giuliano Berellini, Marius Olah, Kim Fejgin and Scott Boyer
Chapter 12 GRID?Derived Molecular interplay Fields for Predicting the positioning of Metabolism in Human Cytochromes (pages 273–290): Gabriele Cruciani, Yasmin Aristei, Riccardo Vianello and Massimo Baroni

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Extra info for Molecular Interaction Fields: Applications in Drug Discovery and ADME Prediction, Volume 27

Sample text

However GRID must take special account of the alpha carbon atom at the N-terminal of a protein chain, because this carbon sometimes donates a hydrogen bond as it can pick up positive charge from the nearby cationic N-terminal nitrogen. 3. Metals now receive special attention in GRID according to their hardness or softness. 4. Some water molecules in a biological system appear to make four tetrahedral sp3 hydrogen bonds. Others donate two hydrogen bonds but accept only one, making these three interactions in roughly the same plane.

GRID will deal automatically with some of them, and directives are provided so the user can decide how to deal with others. 6 Nomenclature Several different types of oxygen atom have already been mentioned including sp2 carbonyl oxygen, sp2 carboxyl oxygen, sp2 hydroxy, sp3 hydroxy, phosphate oxygens, aliphatic ether oxygen and furan oxygens. All of these have the same chemical symbol O, but each type of oxygen has its own specific properties. One needs to have a straightforward list of this detailed information for each kind of atom, showing all its characteristics on one line across the page or visual display screen.

2 Deriving 3D-QSARs Probably the most widespread application of MIFs is the derivation of 3D-QSARs by the CoMFA [6] or GRID/GOLPE [40, 41] approach for low molecular weight compounds. A series of compounds for which experimental measurements of binding or activity have been made is modelled and the structures are aligned. MIFs are computed for each molecule and then the values of the MIFs at the grid points are correlated with activities using PLS (Partial least squares projection to latent structures).

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Molecular Interaction Fields: Applications in Drug Discovery and ADME Prediction, Volume 27 by Gabriele Cruciani, Raimund Mannhold, Hugo Kubinyi, Gerd Folkers


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