Read e-book online 3D QSAR in Drug Design: Volume 3: Recent Advances PDF

By Hugo Kubinyi, Gerd Folkers, Yvonne C. Martin

ISBN-10: 0306468581

ISBN-13: 9780306468582

ISBN-10: 0792347919

ISBN-13: 9780792347910

Volumes 2 and three of the 3D QSAR in Drug layout sequence objective to check the development being made in CoMFA and different 3D QSAR techniques because the e-book of the hugely winning first quantity approximately 4 years in the past. quantity 2 (Ligand-Protein Interactions and Molecular Similarity) divides into 3 sections facing Ligand-Protein Interactions, Quantum Chemical versions and Molecular Dynamics Simulations, and Pharmacophore Modelling and Molecular Similarity, respectively. quantity three (Recent Advances) is additionally divided into 3 sections, particularly 3D QSAR technique: CoMFA and comparable methods, Receptor versions and different 3D QSAR methods, and 3D QSAR functions. greater than seventy uncommon scientists have contributed approximately 40 studies in their paintings and similar study to those volumes that are of remarkable caliber and timeliness. those works current an up to date insurance of the most recent advancements in all fields of 3D QSAR.

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Read Online or Download 3D QSAR in Drug Design: Volume 3: Recent Advances (Three-Dimensional Quantitative Structure Activity Relationships, Volume 3) PDF

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Extra resources for 3D QSAR in Drug Design: Volume 3: Recent Advances (Three-Dimensional Quantitative Structure Activity Relationships, Volume 3)

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Chem. , 115 (1993) 5372–5384. 107. W. , American Chemical Society Meeting, August, New York, 1991. 108. , MacKenzie, R. , Molecular Modeling-based Design of Novel, Selective, Potent D1 Dopamine Agonists, In Silipo, C. and Vittoria, A. ) QSAR: Rational approaches on the design of bioactive compounds, Elsevier, Amsterdam, The Netherlands, 1991, pp. 469–482. 109. , Buckingham, J. , Computer-aided-design and synthesis of 5-substituted tryptamines and their pharmacology at the 5-HT1D receptor — discovery of compounds with potential antimigraine properties, J.

3 (1993) 645–651. 128. , Variable selection in QSAR Studies: 1. An Evolutionary Algorithm, Quant. -Act. , 13 (1994) 285–294. 129. , Variable selection in QSAR studies: 2. A highly efficient combination of systematic search and evolution. Quant. -Act. , 13 (1994) 393–401. 130. Rogers, D. , Application of genetic function approximation to quantitative structure-activity relationships and quantitative structure-property relationships, J. Chem. Inf. Comput. , 34 (1994) 854–866. 1 3 1 . , Sjostrum, M.

B. , 3D-QSAR of angiotensin-converting enzyme and lliermolysin inhibitors: A comparison of CoMFA models based on deduced and experimentally determined active site geometries, J. Am. Chem. , 115(1993) 5372–5384. , Merz, A. , CoMFA: Scope and limitations, In Kubinyi, H. ) 3D QSAR in d r u g d e s i g n : Theory, methods and applications, ESCOM, Leiden, The N e t h e r l a n d s , 1993, pp. 583–618. , Giolitti, A. , Three-dimensional QSAR of human immunodeficiency virus (I) protease inhibitors: 1 .

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3D QSAR in Drug Design: Volume 3: Recent Advances (Three-Dimensional Quantitative Structure Activity Relationships, Volume 3) by Hugo Kubinyi, Gerd Folkers, Yvonne C. Martin

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