Literature DB >> 23808933

DockoMatic 2.0: high throughput inverse virtual screening and homology modeling.

Casey Bullock1, Nic Cornia, Reed Jacob, Andrew Remm, Thomas Peavey, Ken Weekes, Chris Mallory, Julia T Oxford, Owen M McDougal, Timothy L Andersen.   

Abstract

DockoMatic is a free and open source application that unifies a suite of software programs within a user-friendly graphical user interface (GUI) to facilitate molecular docking experiments. Here we describe the release of DockoMatic 2.0; significant software advances include the ability to (1) conduct high throughput inverse virtual screening (IVS); (2) construct 3D homology models; and (3) customize the user interface. Users can now efficiently setup, start, and manage IVS experiments through the DockoMatic GUI by specifying receptor(s), ligand(s), grid parameter file(s), and docking engine (either AutoDock or AutoDock Vina). DockoMatic automatically generates the needed experiment input files and output directories and allows the user to manage and monitor job progress. Upon job completion, a summary of results is generated by Dockomatic to facilitate interpretation by the user. DockoMatic functionality has also been expanded to facilitate the construction of 3D protein homology models using the Timely Integrated Modeler (TIM) wizard. The wizard TIM provides an interface that accesses the basic local alignment search tool (BLAST) and MODELER programs and guides the user through the necessary steps to easily and efficiently create 3D homology models for biomacromolecular structures. The DockoMatic GUI can be customized by the user, and the software design makes it relatively easy to integrate additional docking engines, scoring functions, or third party programs. DockoMatic is a free comprehensive molecular docking software program for all levels of scientists in both research and education.

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Year:  2013        PMID: 23808933      PMCID: PMC3916141          DOI: 10.1021/ci400047w

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  19 in total

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Authors:  Francisco Melo; Roberto Sánchez; Andrej Sali
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4.  The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling.

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5.  A composite score for predicting errors in protein structure models.

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Journal:  Protein Sci       Date:  2006-06-02       Impact factor: 6.725

6.  Inverse virtual screening of antitumor targets: pilot study on a small database of natural bioactive compounds.

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Journal:  J Nat Prod       Date:  2011-05-04       Impact factor: 4.050

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Journal:  BMC Res Notes       Date:  2010-11-08

8.  Improved cyclodextrin-based receptors for camptothecin by inverse virtual screening.

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9.  PREDICTED STRUCTURE AND BINDING MOTIFS OF COLLAGEN α1(XI).

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10.  NCBI BLAST: a better web interface.

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  13 in total

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2.  Genetic Algorithm Managed Peptide Mutant Screening: Optimizing Peptide Ligands for Targeted Receptor Binding.

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3.  Acetylcholine promotes binding of α-conotoxin MII at α3 β2 nicotinic acetylcholine receptors.

Authors:  Somisetti V Sambasivarao; Jessica Roberts; Vivek S Bharadwaj; Jason G Slingsby; Conrad Rohleder; Chris Mallory; James R Groome; Owen M McDougal; C Mark Maupin
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Journal:  Biochem Mol Biol Educ       Date:  2015-11-05       Impact factor: 1.160

5.  Homology modeling and molecular docking for the science curriculum.

Authors:  Owen M McDougal; Nic Cornia; S V Sambasivarao; Andrew Remm; Chris Mallory; Julia Thom Oxford; C Mark Maupin; Tim Andersen
Journal:  Biochem Mol Biol Educ       Date:  2013-12-20       Impact factor: 1.160

6.  Fortilin potentiates the peroxidase activity of Peroxiredoxin-1 and protects against alcohol-induced liver damage in mice.

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Review 7.  Docking-based inverse virtual screening: methods, applications, and challenges.

Authors:  Xianjin Xu; Marshal Huang; Xiaoqin Zou
Journal:  Biophys Rep       Date:  2018-02-01

Review 8.  Mutagenesis of α-Conotoxins for Enhancing Activity and Selectivity for Nicotinic Acetylcholine Receptors.

Authors:  Matthew W Turner; Leanna A Marquart; Paul D Phillips; Owen M McDougal
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Review 9.  Repurposing Drugs to Treat Heart and Brain Illness.

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10.  Qualitative Assay to Detect Dopamine Release by Ligand Action on Nicotinic Acetylcholine Receptors.

Authors:  Leanna A Marquart; Matthew W Turner; Owen M McDougal
Journal:  Toxins (Basel)       Date:  2019-11-20       Impact factor: 4.546

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