Literature DB >> 3555315

Computer-aided drug design.

G R Marshall.   

Abstract

Progress in genetic engineering has increased the need for, while advances in computational hardware have removed barriers impeding, the development of appropriate computational tools to assist in the understanding of molecular interactions. Advancements both in techniques and in broadening application have been clearly demonstrated. Further development requires progress in the fundamental aspects of theoretical chemistry as well as an increased base of experience in choosing the appropriate set of assumptions for a particular problem. Computer-aided drug design is a current reality, but one that, at its best, supplements an incomplete methodology with the traditional insight and wisdom of an experienced medicinal chemist. In the next few years progress in developing a sound theoretical foundation will make molecular design a realistic aid to the medicinal chemist and protein engineer.

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Year:  1987        PMID: 3555315     DOI: 10.1146/annurev.pa.27.040187.001205

Source DB:  PubMed          Journal:  Annu Rev Pharmacol Toxicol        ISSN: 0362-1642            Impact factor:   13.820


  28 in total

Review 1.  Quantitative structure-activity relationships (QSAR) and molecular modelling in cancer research.

Authors:  H Kubinyi
Journal:  J Cancer Res Clin Oncol       Date:  1990       Impact factor: 4.553

Review 2.  The use of cultured epithelial and endothelial cells for drug transport and metabolism studies.

Authors:  K L Audus; R L Bartel; I J Hidalgo; R T Borchardt
Journal:  Pharm Res       Date:  1990-05       Impact factor: 4.200

3.  Constrained search of conformational hyperspace.

Authors:  R A Dammkoehler; S F Karasek; E F Shands; G R Marshall
Journal:  J Comput Aided Mol Des       Date:  1989-03       Impact factor: 3.686

4.  Different approaches toward an automatic structural alignment of drug molecules: applications to sterol mimics, thrombin and thermolysin inhibitors.

Authors:  G Klebe; T Mietzner; F Weber
Journal:  J Comput Aided Mol Des       Date:  1994-12       Impact factor: 3.686

5.  GenStar: a method for de novo drug design.

Authors:  S H Rotstein; M A Murcko
Journal:  J Comput Aided Mol Des       Date:  1993-02       Impact factor: 3.686

6.  A fast and efficient method to generate biologically relevant conformations.

Authors:  G Klebe; T Mietzner
Journal:  J Comput Aided Mol Des       Date:  1994-10       Impact factor: 3.686

7.  Conformational studies on (+)-anatoxin-a and derivatives.

Authors:  P E Thompson; D T Manallack; F E Blaney; T Gallagher
Journal:  J Comput Aided Mol Des       Date:  1992-06       Impact factor: 3.686

Review 8.  Reaching new levels of realism in modeling biological macromolecules in cellular environments.

Authors:  Michael Feig; Yuji Sugita
Journal:  J Mol Graph Model       Date:  2013-08-28       Impact factor: 2.518

9.  A survey of across-target bioactivity results of small molecules in PubChem.

Authors:  Lianyi Han; Yanli Wang; Stephen H Bryant
Journal:  Bioinformatics       Date:  2009-06-23       Impact factor: 6.937

10.  Structure-based substrate screening for an enzyme.

Authors:  Tao Xu; Lujia Zhang; Xuedong Wang; Dongzhi Wei; Tianbi Li
Journal:  BMC Bioinformatics       Date:  2009-08-21       Impact factor: 3.169

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