Literature DB >> 1324436

Prediction of the structure of a receptor-protein complex using a binary docking method.

B L Stoddard1, D E Koshland.   

Abstract

To validate procedures of rational drug design, it is important to develop computational methods that predict binding sites between a protein and a ligand molecule. Many small molecules have been tested using such programs, but examination of protein-protein and peptide-protein interactions has been sparse. We were able to test such applications once the structures of both the maltose-binding protein (MBP) and the ligand-binding domain of the aspartate receptor, which binds MBP, became available. Here we predict the binding site of MBP to its receptor using a 'binary docking' technique in which two MBP octapeptide sequences containing mutations that eliminate maltose chemotaxis are independently docked to the receptor. The peptides in the docked solutions superimpose on their original positions in the structure of MBP and allow the formation of an MBP-receptor complex. The consistency of the computational and biological results supports this approach for predicting protein-protein and peptide-protein interactions.

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Year:  1992        PMID: 1324436     DOI: 10.1038/358774a0

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  17 in total

1.  Prediction of protein complexes using empirical free energy functions.

Authors:  Z Weng; S Vajda; C Delisi
Journal:  Protein Sci       Date:  1996-04       Impact factor: 6.725

Review 2.  The two-component signaling pathway of bacterial chemotaxis: a molecular view of signal transduction by receptors, kinases, and adaptation enzymes.

Authors:  J J Falke; R B Bass; S L Butler; S A Chervitz; M A Danielson
Journal:  Annu Rev Cell Dev Biol       Date:  1997       Impact factor: 13.827

3.  Distributed automated docking of flexible ligands to proteins: parallel applications of AutoDock 2.4.

Authors:  G M Morris; D S Goodsell; R Huey; A J Olson
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686

4.  Flexible ligand docking using conformational ensembles.

Authors:  D M Lorber; B K Shoichet
Journal:  Protein Sci       Date:  1998-04       Impact factor: 6.725

5.  Spectroscopic analysis and docking simulation on the recognition and binding of TEM-1 β-lactamase with β-lactam antibiotics.

Authors:  Jianting Yang; Qian Li; Liujiao Bian
Journal:  Exp Ther Med       Date:  2017-07-31       Impact factor: 2.447

6.  Flexible ligand docking using a genetic algorithm.

Authors:  C M Oshiro; I D Kuntz; J S Dixon
Journal:  J Comput Aided Mol Des       Date:  1995-04       Impact factor: 3.686

7.  Molecular recognition analyzed by docking simulations: the aspartate receptor and isocitrate dehydrogenase from Escherichia coli.

Authors:  B L Stoddard; D E Koshland
Journal:  Proc Natl Acad Sci U S A       Date:  1993-02-15       Impact factor: 11.205

8.  Monte Carlo docking with ubiquitin.

Authors:  M D Cummings; T N Hart; R J Read
Journal:  Protein Sci       Date:  1995-05       Impact factor: 6.725

9.  Positioning of autoimmune TCR-Ob.2F3 and TCR-Ob.3D1 on the MBP85-99/HLA-DR2 complex.

Authors:  Zenichiro Kato; Joel N H Stern; Hironori K Nakamura; Kazuo Kuwata; Naomi Kondo; Jack L Strominger
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-29       Impact factor: 11.205

10.  Structural basis for the multiple interactions of the MyD88 TIR domain in TLR4 signaling.

Authors:  Hidenori Ohnishi; Hidehito Tochio; Zenichiro Kato; Kenji E Orii; Ailian Li; Takeshi Kimura; Hidekazu Hiroaki; Naomi Kondo; Masahiro Shirakawa
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-08       Impact factor: 11.205

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