Literature DB >> 8234239

Automated docking in crystallography: analysis of the substrates of aconitase.

D S Goodsell1, H Lauble, C D Stout, A J Olson.   

Abstract

Automated docking of substrates to proteins of known structure aids the process of crystallographic analysis in two ways. First, automated docking can be used to generate a small number of starting models for substrates using only protein coordinates from an early stage of refinement. Second, automated docking provides a method for exploring aspects of catalysis that are inaccessible to crystallography by postulating binding modes of catalytic intermediates. This paper describes the use of automated docking to explore the binding of substrates to aconitase. The technique starts with a substrate molecule in an arbitrary configuration and position and finds favorable docked configurations in a (static) protein active site based on a molecular mechanics type force field. Using protein coordinates from an early stage of refinement of an aconitase-isocitrate complex, we successfully predicted the binding configuration of isocitrate. Four configurations were found, the energetically most favorable of which fit the observed electron density well and was used as a starting model for further refinement. Two configurations were found in citrate docking experiments, the second of which approximates the mode of substrate binding in an aconitase-nitrocitrate complex. We were also able to propose two binding modes of the catalytic intermediate cis-aconitate. These correspond closely to the isocitrate and the citrate binding modes. The relation of these new results to the proposed reaction mechanism is discussed.

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Year:  1993        PMID: 8234239     DOI: 10.1002/prot.340170104

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  12 in total

1.  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

2.  Comparative docking studies on ligand binding to the multispecific antibodies IgE-La2 and IgE-Lb4.

Authors:  C A Sotriffer; R H Winger; K R Liedl; B M Rode; J M Varga
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686

3.  A virtual screen discovers novel, fragment-sized inhibitors of Mycobacterium tuberculosis InhA.

Authors:  Alexander L Perryman; Weixuan Yu; Xin Wang; Sean Ekins; Stefano Forli; Shao-Gang Li; Joel S Freundlich; Peter J Tonge; Arthur J Olson
Journal:  J Chem Inf Model       Date:  2015-02-17       Impact factor: 4.956

4.  Synthesis and evaluation of a new series of tri-, di-, and mono-N-alkylcarbamylphloroglucinols as conformationally constrained inhibitors of cholesterol esterase.

Authors:  Ming-Cheng Lin; Gin-Zen Lin; Ching-In Hwang; Shuo-Yung Jian; James Lin; Yu-Fong Shen; Gialih Lin
Journal:  Protein Sci       Date:  2012-08-09       Impact factor: 6.725

5.  Ligand binding by antibody IgE Lb4: assessment of binding site preferences using microcalorimetry, docking, and free energy simulations.

Authors:  C A Sotriffer; W Flader; A Cooper; B M Rode; D S Linthicum; K R Liedl; J M Varga
Journal:  Biophys J       Date:  1999-06       Impact factor: 4.033

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.  Electric-field-induced redox potential shifts of tetraheme cytochromes c3 immobilized on self-assembled monolayers: surface-enhanced resonance Raman spectroscopy and simulation studies.

Authors:  Laura Rivas; Cláudio M Soares; António M Baptista; Jalila Simaan; Roberto E Di Paolo; Daniel H Murgida; Peter Hildebrandt
Journal:  Biophys J       Date:  2005-03-11       Impact factor: 4.033

Review 8.  Molecular docking: a powerful approach for structure-based drug discovery.

Authors:  Xuan-Yu Meng; Hong-Xing Zhang; Mihaly Mezei; Meng Cui
Journal:  Curr Comput Aided Drug Des       Date:  2011-06       Impact factor: 1.606

9.  The iron-responsive element-binding protein: localization of the RNA-binding site to the aconitase active-site cleft.

Authors:  J P Basilion; T A Rouault; C M Massinople; R D Klausner; W H Burgess
Journal:  Proc Natl Acad Sci U S A       Date:  1994-01-18       Impact factor: 11.205

10.  Modeling electron transfer thermodynamics in protein complexes: interaction between two cytochromes c(3).

Authors:  Vitor H Teixeira; António M Baptista; Cláudio M Soares
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

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