Literature DB >> 7966160

PRO_LIGAND: an approach to de novo molecular design. 2. Design of novel molecules from molecular field analysis (MFA) models and pharmacophores.

B Waszkowycz1, D E Clark, D Frenkel, J Li, C W Murray, B Robson, D R Westhead.   

Abstract

A computational approach for molecular design, PRO_LIGAND, has been developed within the PROMETHEUS molecular design and simulation system in order to provide a unified framework for the de novo generation of diverse molecules which are either similar or complementary to a specified target. In this instance, the target is a pharmacophore derived from a series of active structures either by a novel interpretation of molecular field analysis data or by a pharmacophore-mapping procedure based on clique detection. After a brief introduction to PRO_LIGAND, a detailed description is given of the two pharmacophore generation procedures and their abilities are demonstrated by the elucidation of pharmacophores for steroid binding and ACE inhibition, respectively. As a further indication of its efficacy in aiding the rational drug design process, PRO_LIGAND is then employed to build novel organic molecules to satisfy the physicochemical constraints implied by the pharmacophores.

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Year:  1994        PMID: 7966160     DOI: 10.1021/jm00049a019

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  11 in total

1.  Evaluation of a novel molecular vibration-based descriptor (EVA) for QSAR studies: 2. Model validation using a benchmark steroid dataset.

Authors:  D B Turner; P Willett; A M Ferguson; T W Heritage
Journal:  J Comput Aided Mol Des       Date:  1999-05       Impact factor: 3.686

2.  The concept of template-based de novo design from drug-derived molecular fragments and its application to TAR RNA.

Authors:  Andreas Schüller; Marcel Suhartono; Uli Fechner; Yusuf Tanrikulu; Sven Breitung; Ute Scheffer; Michael W Göbel; Gisbert Schneider
Journal:  J Comput Aided Mol Des       Date:  2007-12-07       Impact factor: 3.686

3.  Ab initio molecular modeling in the study of drug metabolism.

Authors:  M D Segall; M C Payne; S W Ellis; G T Tucker; R N Boyes
Journal:  Eur J Drug Metab Pharmacokinet       Date:  1997 Oct-Dec       Impact factor: 2.441

4.  Evaluation of a novel infrared range vibration-based descriptor (EVA) for QSAR studies. 1. General application.

Authors:  D B Turner; P Willett; A M Ferguson; T Heritage
Journal:  J Comput Aided Mol Des       Date:  1997-07       Impact factor: 3.686

5.  PRO_SELECT: combining structure-based drug design and combinatorial chemistry for rapid lead discovery. 1. Technology.

Authors:  C W Murray; D E Clark; T R Auton; M A Firth; J Li; R A Sykes; B Waszkowycz; D R Westhead; S C Young
Journal:  J Comput Aided Mol Des       Date:  1997-03       Impact factor: 3.686

6.  PRO-LIGAND: an approach to de novo molecular design. 3. A genetic algorithm for structure refinement.

Authors:  D R Westhead; D E Clark; D Frenkel; J Li; C W Murray; B Robson; B Waszkowycz
Journal:  J Comput Aided Mol Des       Date:  1995-04       Impact factor: 3.686

7.  PRO_LIGAND: an approach to de novo molecular design. 4. Application to the design of peptides.

Authors:  D Frenkel; D E Clark; J Li; C W Murray; B RObson; B Waszkowycz; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1995-06       Impact factor: 3.686

8.  PRO-LIGAND: an approach to de novo molecular design. 1. Application to the design of organic molecules.

Authors:  D E Clark; D Frenkel; S A Levy; J Li; C W Murray; B Robson; B Waszkowycz; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1995-02       Impact factor: 3.686

9.  PRO_LIGAND: an approach to de novo molecular design. 6. Flexible fitting in the design of peptides.

Authors:  C W Murray; D E Clark; D G Byrne
Journal:  J Comput Aided Mol Des       Date:  1995-10       Impact factor: 3.686

Review 10.  COVID-19 Coronavirus spike protein analysis for synthetic vaccines, a peptidomimetic antagonist, and therapeutic drugs, and analysis of a proposed achilles' heel conserved region to minimize probability of escape mutations and drug resistance.

Authors:  B Robson
Journal:  Comput Biol Med       Date:  2020-04-11       Impact factor: 4.589

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