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Enhanced conformational sampling of carbohydrates by Hamiltonian replica-exchange simulation
Author(s) -
Sushil Kumar Mishra,
Mahmut Kara,
Martin Zacharias,
Jaroslav Koča
Publication year - 2013
Publication title -
glycobiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.757
H-Index - 128
eISSN - 1460-2423
pISSN - 0959-6658
DOI - 10.1093/glycob/cwt093
Subject(s) - replica , molecular dynamics , dihedral angle , chemistry , computational chemistry , force field (fiction) , glycosidic bond , hamiltonian (control theory) , umbrella sampling , molecule , sampling (signal processing) , computer science , organic chemistry , mathematics , art , mathematical optimization , hydrogen bond , artificial intelligence , visual arts , enzyme , filter (signal processing) , computer vision
Knowledge of the structure and conformational flexibility of carbohydrates in an aqueous solvent is important to improving our understanding of how carbohydrates function in biological systems. In this study, we extend a variant of the Hamiltonian replica-exchange molecular dynamics (MD) simulation to improve the conformational sampling of saccharides in an explicit solvent. During the simulations, a biasing potential along the glycosidic-dihedral linkage between the saccharide monomer units in an oligomer is applied at various levels along the replica runs to enable effective transitions between various conformations. One reference replica runs under the control of the original force field. The method was tested on disaccharide structures and further validated on biologically relevant blood group B, Lewis X and Lewis A trisaccharides. The biasing potential-based replica-exchange molecular dynamics (BP-REMD) method provided a significantly improved sampling of relevant conformational states compared with standard continuous MD simulations, with modest computational costs. Thus, the proposed BP-REMD approach adds a new dimension to existing carbohydrate conformational sampling approaches by enhancing conformational sampling in the presence of solvent molecules explicitly at relatively low computational cost.

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