title: MOLS 2.0: software package for peptide modeling and protein-ligand docking.
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/ .
authors.affiliation: Centre of Advanced Study in Crystallography and Biophysics, University of Madras, Guindy Campus, Chennai, 600025, India.
authors.forename: D Sam
authors.initials: DS
authors.lastname: Paul
authors.affiliation: Centre of Advanced Study in Crystallography and Biophysics, University of Madras, Guindy Campus, Chennai, 600025, India. n_gautham@hotmail.com.
authors.forename: N
authors.initials: N
authors.lastname: Gautham
mesh_terms: D000465:Algorithms; D008024:Ligands; D008958:Models, Molecular; D062105:Molecular Docking Simulation / Q000379:methods; D010455:Peptides / Q000737:chemistry*; D011485:Protein Binding; D011506:Proteins / Q000737:chemistry*; D012984:Software
chemical_list: D008024:Ligands; D010455:Peptides; D011506:Proteins
keywords: Graphical user interface; Induced-fit docking; Molecular docking; Mutually orthogonal Latin squares sampling; Protein–ligand docking