An automated approach to network features of protein structure ensembles.
Network theory applied to protein structures provides insights into numerous problems of biological relevance. The explosion in structural data available from PDB and simulations establishes a need to introduce a standalone-efficient program that assembles network concepts/parameters under one hood in an automated manner. Herein, we discuss the development/application of an exhaustive, user-friendly, standalone program package named PSN-Ensemble, which can handle structural ensembles generated through molecular dynamics (MD) simulation/NMR studies or from multiple X-ray structures. The novelty in network construction lies in the explicit consideration of side-chain interactions among amino acids. The program evaluates network parameters dealing with topological organization and long-range allosteric communication. The introduction of a flexible weighing scheme in terms of residue pairwise cross-correlation/interaction energy in PSN-Ensemble brings in dynamical/chemical knowledge into the network representation. Also, the results are mapped on a graphical display of the structure, allowing an easy access of network analysis to a general biological community. The potential of PSN-Ensemble toward examining structural ensemble is exemplified using MD trajectories of an ubiquitin-conjugating enzyme (UbcH5b). Furthermore, insights derived from network parameters evaluated using PSN-Ensemble for single-static structures of active/inactive states of β2-adrenergic receptor and the ternary tRNA complexes of tyrosyl tRNA synthetases (from organisms across kingdoms) are discussed. PSN-Ensemble is freely available from http://vishgraph.mbu.iisc.ernet.in/PSN-Ensemble/psn_index.html.
Molecular Biophysics Unit, Indian Institute of Science, Bangalore, 560012, India.
Moitrayee
M
Bhattacharyya
Chanda R
CR
Bhat
Saraswathi
S
Vishveshwara
D001426:Bacterial Proteins / Q000737:chemistry; D019295:Computational Biology / Q000379:methods; D018360:Crystallography, X-Ray; D063747:Methanocaldococcus / Q000201:enzymology; D008958:Models, Molecular; D056004:Molecular Dynamics Simulation; D019906:Nuclear Magnetic Resonance, Biomolecular; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*; D012343:RNA, Transfer / Q000737:chemistry; D018343:Receptors, Adrenergic, beta-2 / Q000737:chemistry; D012441:Saccharomyces cerevisiae / Q000201:enzymology; D029701:Saccharomyces cerevisiae Proteins / Q000737:chemistry; D012984:Software; D014448:Tyrosine-tRNA Ligase / Q000737:chemistry
D001426:Bacterial Proteins; D011506:Proteins; D018343:Receptors, Adrenergic, beta-2; D029701:Saccharomyces cerevisiae Proteins; D012343:RNA, Transfer; D014448:Tyrosine-tRNA Ligase
MD/NMR ensemble; PSN-Ensemble program; UbcH5b; beta2-adrenergic receptor; network features; protein structure network; tRNA synthetases; weighted network