Literature DB >> 18446297

Molecular docking.

Garrett M Morris1, Marguerita Lim-Wilby.   

Abstract

Molecular docking is a key tool in structural molecular biology and computer-assisted drug design. The goal of ligand-protein docking is to predict the predominant binding mode(s) of a ligand with a protein of known three-dimensional structure. Successful docking methods search high-dimensional spaces effectively and use a scoring function that correctly ranks candidate dockings. Docking can be used to perform virtual screening on large libraries of compounds, rank the results, and propose structural hypotheses of how the ligands inhibit the target, which is invaluable in lead optimization. The setting up of the input structures for the docking is just as important as the docking itself, and analyzing the results of stochastic search methods can sometimes be unclear. This chapter discusses the background and theory of molecular docking software, and covers the usage of some of the most-cited docking software.

Mesh:

Substances:

Year:  2008        PMID: 18446297     DOI: 10.1007/978-1-59745-177-2_19

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  97 in total

1.  An intramembrane aromatic network determines pentameric assembly of Cys-loop receptors.

Authors:  Svenja Haeger; Dmitry Kuzmin; Silvia Detro-Dassen; Niklas Lang; Michael Kilb; Victor Tsetlin; Heinrich Betz; Bodo Laube; Günther Schmalzing
Journal:  Nat Struct Mol Biol       Date:  2009-12-20       Impact factor: 15.369

2.  Safe-in-Man Broad Spectrum Antiviral Agents.

Authors:  Rouan Yao; Aleksandr Ianevski; Denis Kainov
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

3.  Computational Prediction of the Binding Pose of Metal-Binding Pharmacophores.

Authors:  Johannes Karges; Ryjul W Stokes; Seth M Cohen
Journal:  ACS Med Chem Lett       Date:  2022-02-24       Impact factor: 4.345

4.  Scoring ensembles of docked protein:ligand interactions for virtual lead optimization.

Authors:  Janet L Paulsen; Amy C Anderson
Journal:  J Chem Inf Model       Date:  2009-12       Impact factor: 4.956

5.  Pre-docking filter for protein and ligand 3D structures.

Authors:  Alisa Wilantho; Sissades Tongsima; Ekachai Jenwitheesuk
Journal:  Bioinformation       Date:  2008-12-31

6.  A Computational Approach with Biological Evaluation: Combinatorial Treatment of Curcumin and Exemestane Synergistically Regulates DDX3 Expression in Cancer Cell Lines.

Authors:  Shailima Rampogu; Seong Min Kim; Minky Son; Ayoung Baek; Chanin Park; Gihwan Lee; Yumi Kim; Gon Sup Kim; Ju Hyun Kim; Keun Woo Lee
Journal:  Biomolecules       Date:  2020-06-04

7.  Molecular insights into cold active polygalacturonase enzyme for its potential application in food processing.

Authors:  L N Ramya; K K Pulicherla
Journal:  J Food Sci Technol       Date:  2014-11-26       Impact factor: 2.701

8.  Integrative Computational Approaches to Inform Relative Bioaccumulation Potential of Per- and Polyfluoroalkyl Substances Across Species.

Authors:  Weixiao Cheng; Jon A Doering; Carlie LaLone; Carla Ng
Journal:  Toxicol Sci       Date:  2021-04-12       Impact factor: 4.849

9.  In Ovo and In Silico Evaluation of the Anti-Angiogenic Potential of Syringin.

Authors:  Charlaine A Aventurado; Junie B Billones; Ross D Vasquez; Agnes L Castillo
Journal:  Drug Des Devel Ther       Date:  2020-11-25       Impact factor: 4.162

10.  Chemical Composition, Antioxidant and Enzyme Inhibitory Activities of Onosma bourgaei and Onosma trachytricha and in Silico Molecular Docking Analysis of Dominant Compounds.

Authors:  Erman Salih Istifli
Journal:  Molecules       Date:  2021-05-18       Impact factor: 4.411

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