Literature DB >> 9334900

QXP: powerful, rapid computer algorithms for structure-based drug design.

C McMartin1, R S Bohacek.   

Abstract

New methods for docking, template fitting and building pseudo-receptors are described. Full conformational searches are carried out for flexible cyclic and acyclic molecules. QXP (quick explore) search algorithms are derived from the method of Monte Carlo perturbation with energy minimization in Cartesian space. An additional fast search step is introduced between the initial perturbation and energy minimization. The fast search produces approximate low-energy structures, which are likely to minimize to a low energy. For template fitting, QXP uses a superposition force field which automatically assigns short-range attractive forces to similar atoms in different molecules. The docking algorithms were evaluated using X-ray data for 12 protein-ligand complexes. The ligands had up to 24 rotatable bonds and ranged from highly polar to mostly nonpolar. Docking searches of the randomly disordered ligands gave rms differences between the lowest energy docked structure and the energy-minimized X-ray structure, of less than 0.76 A for 10 of the ligands. For all the ligands, the rms difference between the energy-minimized X-ray structure and the closest docked structure was less than 0.4 A, when parts of one of the molecules which are in the solvent were excluded from the rms calculation. Template fitting was tested using four ACE inhibitors. Three ACE templates have been previously published. A single run using QXP generated a series of templates which contained examples of each of the three. A pseudo-receptor, complementary to an ACE template, was built out of small molecules, such as pyrrole, cyclopentanone and propane. When individually energy minimized in the pseudo-receptor, each of the four ACE inhibitors moved with an rms of less than 0.25 A. After random perturbation, the inhibitors were docked into the pseudo-receptor. Each lowest energy docked structure matched the energy-minimized geometry with an rms of less than 0.08 A. Thus, the pseudo-receptor shows steric and chemical complementarity to all four molecules. The QXP program is reliable, easy to use and sufficiently rapid for routine application in structure-based drug design.

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Year:  1997        PMID: 9334900     DOI: 10.1023/a:1007907728892

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  27 in total

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3.  Ortho-substituted benzofused macrocyclic lactams as zinc metalloprotease inhibitors.

Authors:  G M Ksander; R de Jesus; A Yuan; R D Ghai; A Trapani; C McMartin; R Bohacek
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4.  Molecular docking using surface complementarity.

Authors:  V Sobolev; R C Wade; G Vriend; M Edelman
Journal:  Proteins       Date:  1996-05

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Journal:  Chem Biol       Date:  1996-06

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Review 8.  Application of the three-dimensional structures of protein target molecules in structure-based drug design.

Authors:  J Greer; J W Erickson; J J Baldwin; M D Varney
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9.  Structure of a mercaptan-thermolysin complex illustrates mode of inhibition of zinc proteases by substrate-analogue mercaptans.

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Journal:  Biochemistry       Date:  1982-07-06       Impact factor: 3.162

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Authors:  D Mayer; C B Naylor; I Motoc; G R Marshall
Journal:  J Comput Aided Mol Des       Date:  1987-04       Impact factor: 3.686

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  69 in total

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2.  Estimation of active conformations of drugs by a new molecular superposing procedure.

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Review 5.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
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6.  Exploring the molecular basis of selectivity in A1 adenosine receptors agonists: a case study.

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7.  Comparative study of several algorithms for flexible ligand docking.

Authors:  Badry D Bursulaya; Maxim Totrov; Ruben Abagyan; Charles L Brooks
Journal:  J Comput Aided Mol Des       Date:  2003-11       Impact factor: 3.686

8.  A geometry force field which converts low-resolution X-ray models to structures with properties found at ultra high resolution.

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9.  Structure-based combinatorial library design: discovery of non-peptidic inhibitors of caspases 3 and 8.

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10.  Rational modification of a candidate cancer drug for use against Chagas disease.

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