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1.
PLoS One ; 8(3): e51307, 2013.
Article in English | MEDLINE | ID: mdl-23483883

ABSTRACT

MOTIVATION: Computational simulation of protein-protein docking can expedite the process of molecular modeling and drug discovery. This paper reports on our new F(2) Dock protocol which improves the state of the art in initial stage rigid body exhaustive docking search, scoring and ranking by introducing improvements in the shape-complementarity and electrostatics affinity functions, a new knowledge-based interface propensity term with FFT formulation, a set of novel knowledge-based filters and finally a solvation energy (GBSA) based reranking technique. Our algorithms are based on highly efficient data structures including the dynamic packing grids and octrees which significantly speed up the computations and also provide guaranteed bounds on approximation error. RESULTS: The improved affinity functions show superior performance compared to their traditional counterparts in finding correct docking poses at higher ranks. We found that the new filters and the GBSA based reranking individually and in combination significantly improve the accuracy of docking predictions with only minor increase in computation time. We compared F(2) Dock 2.0 with ZDock 3.0.2 and found improvements over it, specifically among 176 complexes in ZLab Benchmark 4.0, F(2) Dock 2.0 finds a near-native solution as the top prediction for 22 complexes; where ZDock 3.0.2 does so for 13 complexes. F(2) Dock 2.0 finds a near-native solution within the top 1000 predictions for 106 complexes as opposed to 104 complexes for ZDock 3.0.2. However, there are 17 and 15 complexes where F(2) Dock 2.0 finds a solution but ZDock 3.0.2 does not and vice versa; which indicates that the two docking protocols can also complement each other. AVAILABILITY: The docking protocol has been implemented as a server with a graphical client (TexMol) which allows the user to manage multiple docking jobs, and visualize the docked poses and interfaces. Both the server and client are available for download. Server: http://www.cs.utexas.edu/~bajaj/cvc/software/f2dock.shtml. Client: http://www.cs.utexas.edu/~bajaj/cvc/software/f2dockclient.shtml.


Subject(s)
Algorithms , Computational Biology/methods , Fourier Analysis , Protein Interaction Mapping/methods , Antigen-Antibody Complex/immunology , Enzyme Inhibitors/metabolism , Protein Binding , Substrate Specificity , Time Factors
2.
Chembiochem ; 10(3): 450-3, 2009 Feb 13.
Article in English | MEDLINE | ID: mdl-19145608

ABSTRACT

NEW AND IMPROVED INSULIN: 1H[19F] NOE NMR difference spectra for CF(3)-substituted aromatic carboxylates bound at the HisB10 sites of the R(6) human insulin (HI) hexamer show strong NOEs between the CF(3) groups and the LeuB6, AsnB3, and PheB1 sidechains. The NOEs and structural modeling establish that these carboxylates form closed complexes with the HisB10 site capped by the PheB1 rings.


Subject(s)
Carboxylic Acids/chemistry , Histidine/chemistry , Insulin/chemistry , Protein Conformation , Fluorine/chemistry , Humans , Hydrogen/chemistry , Models, Molecular , Nuclear Magnetic Resonance, Biomolecular
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