Literature DB >> 8728658

Modeling protein-ligand complexes.

P Bamborough1, F E Cohen.   

Abstract

Increasing the rate at which new biologically active compounds are found is a major goal in pharmaceutical chemistry. Recently, several computational methods have been proposed with this intent. For some time, algorithms have been used to direct ligand evolution on the basis of complementarity to the three-dimensional structure of a selected protein. Current research focuses on enhancements to methods for searching chemical databases, proposing sensible modifications to known active compounds, and construction of novel ligands from theoretical principles.

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Year:  1996        PMID: 8728658     DOI: 10.1016/s0959-440x(96)80081-9

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  5 in total

1.  Prediction of SAMPL2 aqueous solvation free energies and tautomeric ratios using the SM8, SM8AD, and SMD solvation models.

Authors:  Raphael F Ribeiro; Aleksandr V Marenich; Christopher J Cramer; Donald G Truhlar
Journal:  J Comput Aided Mol Des       Date:  2010-04-01       Impact factor: 3.686

2.  Design of ligand binding to an engineered protein cavity using virtual screening and thermal up-shift evaluation.

Authors:  Claudia Machicado; Jon López-Llano; Santiago Cuesta-López; Marta Bueno; Javier Sancho
Journal:  J Comput Aided Mol Des       Date:  2005-06       Impact factor: 3.686

3.  Modelling a 3D structure for EgDf1 from Echinococcus granulosus: putative epitopes, phosphorylation motifs and ligand.

Authors:  M Paulino; A Esteves; M Vega; G Tabares; R Ehrlich; O Tapia
Journal:  J Comput Aided Mol Des       Date:  1998-07       Impact factor: 3.686

4.  Identification and energetic ranking of possible docking sites for pterin on dihydrofolate reductase.

Authors:  A A Bliznyuk; J E Gready
Journal:  J Comput Aided Mol Des       Date:  1998-07       Impact factor: 3.686

5.  Inhibition of protein interactions: co-crystalized protein-protein interfaces are nearly as good as holo proteins in rigid-body ligand docking.

Authors:  Saveliy Belkin; Petras J Kundrotas; Ilya A Vakser
Journal:  J Comput Aided Mol Des       Date:  2018-07-12       Impact factor: 3.686

  5 in total

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