Literature DB >> 10596905

Computational approaches to structure-based ligand design.

D Joseph-McCarthy1.   

Abstract

The first computational structure-based drug design methods came into existence in the early 1980s and are, to an extent, still in their infancy. There have been a few successes to date. With dramatic increases in computer speed, improved accuracy in ligand scoring functions, and the advent of combinatorial chemistry, there promises to be many more. In addition, the virtual explosion in the amount of available sequence and structural information has increased the need to develop these computational techniques to exploit this vast body of information. In this review, recent advances in computational methods for database searching and docking, de novo drug design, and estimation of ligand binding affinities are discussed.

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Year:  1999        PMID: 10596905     DOI: 10.1016/s0163-7258(99)00031-5

Source DB:  PubMed          Journal:  Pharmacol Ther        ISSN: 0163-7258            Impact factor:   12.310


  8 in total

1.  A genetic algorithm for structure-based de novo design.

Authors:  S C Pegg; J J Haresco; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

Review 2.  Carbonic anhydrase as a model for biophysical and physical-organic studies of proteins and protein-ligand binding.

Authors:  Vijay M Krishnamurthy; George K Kaufman; Adam R Urbach; Irina Gitlin; Katherine L Gudiksen; Douglas B Weibel; George M Whitesides
Journal:  Chem Rev       Date:  2008-03       Impact factor: 60.622

3.  CONFIRM: connecting fragments found in receptor molecules.

Authors:  David C Thompson; R Aldrin Denny; Ramaswamy Nilakantan; Christine Humblet; Diane Joseph-McCarthy; Eric Feyfant
Journal:  J Comput Aided Mol Des       Date:  2008-07-09       Impact factor: 3.686

4.  Relating the shape of protein binding sites to binding affinity profiles: is there an association?

Authors:  Zoltán Simon; Margit Vigh-Smeller; Agnes Peragovics; Gábor Csukly; Gergely Zahoránszky-Kohalmi; Anna A Rauscher; Balázs Jelinek; Péter Hári; István Bitter; András Málnási-Csizmadia; Pál Czobor
Journal:  BMC Struct Biol       Date:  2010-10-05

5.  Pushing the limits of what is achievable in protein-DNA docking: benchmarking HADDOCK's performance.

Authors:  Marc van Dijk; Alexandre M J J Bonvin
Journal:  Nucleic Acids Res       Date:  2010-05-13       Impact factor: 16.971

6.  Implicit-descriptor ligand-based virtual screening by means of collaborative filtering.

Authors:  Raghuram Srinivas; Pavel V Klimovich; Eric C Larson
Journal:  J Cheminform       Date:  2018-11-22       Impact factor: 5.514

7.  Developing and validating predictive decision tree models from mining chemical structural fingerprints and high-throughput screening data in PubChem.

Authors:  Lianyi Han; Yanli Wang; Stephen H Bryant
Journal:  BMC Bioinformatics       Date:  2008-09-25       Impact factor: 3.169

8.  Non-covalent interactions involving halogenated derivatives of capecitabine and thymidylate synthase: a computational approach.

Authors:  Adhip Rahman; Mohammad Mazharol Hoque; Mohammad A K Khan; Mohammed G Sarwar; Mohammad A Halim
Journal:  Springerplus       Date:  2016-02-24
  8 in total

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