Literature DB >> 27638416

MOLS 2.0: software package for peptide modeling and protein-ligand docking.

D Sam Paul1, N Gautham2.   

Abstract

We previously developed an algorithm to perform conformational searches of proteins and peptides, and to perform the docking of ligands to protein receptors. In order to identify optimal conformations and docked poses, this algorithm uses mutually orthogonal Latin squares (MOLS) to rationally sample the vast conformational (or docking) space, and then analyzes this relatively small sample using a variant of mean field theory. The conformational search part of the algorithm was denoted MOLS 1.0. The docking portion of the algorithm, which allows only "flexible ligand/rigid receptor" docking, was denoted MOLSDOCK. Both are FORTRAN-based command-line-only molecular docking computer programs, though a GUI was developed later for MOLS 1.0. Both the conformational search and the rigid receptor docking parts of the algorithm have been extensively validated. We have now further enhanced the capabilities of the program by incorporating "induced fit" side-chain receptor flexibility for docking peptide ligands. Benchmarking and extensive testing is now being carried out for the flexible receptor portion of the docking. Additionally, to make both the peptide conformational search and docking algorithms (the latter including both flexible ligand/rigid receptor and flexible ligand/flexible receptor techniques) more accessible to the research community, we have developed MOLS 2.0, which incorporates a new Java-based graphical user interface (GUI). Here, we give a detailed description of MOLS 2.0. The source code and binary for MOLS 2.0 are distributed free (under a GNU Lesser General Public License) to the scientific community. They are freely available for download at https://sourceforge.net/projects/mols2-0/files/ .

Keywords:  Graphical user interface; Induced-fit docking; Molecular docking; Mutually orthogonal Latin squares sampling; Protein–ligand docking

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Year:  2016        PMID: 27638416     DOI: 10.1007/s00894-016-3106-x

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  36 in total

1.  Conformational studies on enkephalins using the MOLS technique.

Authors:  K Vengadesan; N Gautham
Journal:  Biopolymers       Date:  2004-08-15       Impact factor: 2.505

Review 2.  Structure-based strategies for drug design and discovery.

Authors:  I D Kuntz
Journal:  Science       Date:  1992-08-21       Impact factor: 47.728

3.  Molecular docking studies of protein-nucleotide complexes using MOLSDOCK (mutually orthogonal Latin squares DOCK).

Authors:  Shankaran Nehru Viji; Nagarajan Balaji; Namasivayam Gautham
Journal:  J Mol Model       Date:  2012-03-01       Impact factor: 1.810

4.  MOLS--a program to explore the potential energy surface of a peptide and locate its low energy conformations.

Authors:  Pandurangan Arun Prasad; Krishnan Vengadesan; Namasivayam Gautham
Journal:  In Silico Biol       Date:  2005

5.  Protein-ligand docking using mutually orthogonal Latin squares (MOLSDOCK).

Authors:  S Nehru Viji; P Arun Prasad; N Gautham
Journal:  J Chem Inf Model       Date:  2009-12       Impact factor: 4.956

6.  The structural basis of peptide-protein binding strategies.

Authors:  Nir London; Dana Movshovitz-Attias; Ora Schueler-Furman
Journal:  Structure       Date:  2010-02-10       Impact factor: 5.006

7.  Development and validation of a genetic algorithm for flexible docking.

Authors:  G Jones; P Willett; R C Glen; A R Leach; R Taylor
Journal:  J Mol Biol       Date:  1997-04-04       Impact factor: 5.469

8.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility.

Authors:  Garrett M Morris; Ruth Huey; William Lindstrom; Michel F Sanner; Richard K Belew; David S Goodsell; Arthur J Olson
Journal:  J Comput Chem       Date:  2009-12       Impact factor: 3.376

Review 9.  Exploring the role of receptor flexibility in structure-based drug discovery.

Authors:  Ferran Feixas; Steffen Lindert; William Sinko; J Andrew McCammon
Journal:  Biophys Chem       Date:  2013-11-09       Impact factor: 2.352

10.  Fpocket: an open source platform for ligand pocket detection.

Authors:  Vincent Le Guilloux; Peter Schmidtke; Pierre Tuffery
Journal:  BMC Bioinformatics       Date:  2009-06-02       Impact factor: 3.169

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  5 in total

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Authors:  D Sam Paul; N Gautham
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Journal:  Front Pharmacol       Date:  2018-03-09       Impact factor: 5.810

Review 4.  Molecular Functionality of Plant Proteins from Low- to High-Solid Systems with Ligand and Co-Solute.

Authors:  Vilia Darma Paramita; Naksit Panyoyai; Stefan Kasapis
Journal:  Int J Mol Sci       Date:  2020-04-06       Impact factor: 5.923

5.  EmbedDTI: Enhancing the Molecular Representations via Sequence Embedding and Graph Convolutional Network for the Prediction of Drug-Target Interaction.

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