Literature DB >> 10222195

The discovery of steroids and other novel FKBP inhibitors using a molecular docking program.

P Burkhard1, U Hommel, M Sanner, M D Walkinshaw.   

Abstract

The molecular docking computer program SANDOCK was used to screen small molecule three-dimensional databases in the hunt for novel FKBP inhibitors. Spectroscopic measurements confirmed binding of over 20 compounds to the target protein, some with dissociation constants in the low micromolar range. The discovery that FK506 binding protein is a steroid binding protein may be of wider biological significance. Two-dimensional NMR was used to determine the steroid binding mode and confirmed the interactions predicted by the docking program. Copyright 1999 Academic Press.

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Year:  1999        PMID: 10222195     DOI: 10.1006/jmbi.1999.2621

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  8 in total

1.  Binding site characteristics in structure-based virtual screening: evaluation of current docking tools.

Authors:  Tanja Schulz-Gasch; Martin Stahl
Journal:  J Mol Model       Date:  2003-01-14       Impact factor: 1.810

2.  A validation study on the practical use of automated de novo design.

Authors:  Martin Stahl; Nikolay P Todorov; Tim James; Harald Mauser; Hans-Joachim Boehm; Philip M Dean
Journal:  J Comput Aided Mol Des       Date:  2002-07       Impact factor: 3.686

3.  Decoys for docking.

Authors:  Alan P Graves; Ruth Brenk; Brian K Shoichet
Journal:  J Med Chem       Date:  2005-06-02       Impact factor: 7.446

4.  Structures of protonated arginine dimer and bradykinin investigated by density functional theory: further support for stable gas-phase salt bridges.

Authors:  E F Strittmatter; E R Williams
Journal:  J Phys Chem A       Date:  2000-06-29       Impact factor: 2.781

Review 5.  Microbial peptidyl-prolyl cis/trans isomerases (PPIases): virulence factors and potential alternative drug targets.

Authors:  Can M Ünal; Michael Steinert
Journal:  Microbiol Mol Biol Rev       Date:  2014-09       Impact factor: 11.056

6.  An effective simulation of aqueous micellar aggregates by computational models.

Authors:  Guido Angelini; Giorgio Cerichelli; Simona Cerritelli; Marco Pierini; Gabriella Siani; Claudio Villani
Journal:  J Comput Aided Mol Des       Date:  2005-04       Impact factor: 3.686

7.  Cloud computing approaches for prediction of ligand binding poses and pathways.

Authors:  Morgan Lawrenz; Diwakar Shukla; Vijay S Pande
Journal:  Sci Rep       Date:  2015-01-22       Impact factor: 4.379

8.  Receptor-based virtual screening of EGFR kinase inhibitors from the NCI diversity database.

Authors:  Kiattawee Choowongkomon; Orathai Sawatdichaikul; Napat Songtawee; Jumras Limtrakul
Journal:  Molecules       Date:  2010-06-04       Impact factor: 4.411

  8 in total

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