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 dea...
The allosteric concept has played a key role in understanding the biological functions of proteins. ...
International audienceA methodological framework is presented for the graph theoretical interpretati...
Protein complexes are not static, but rather highly dynamic with subunits that undergo 1-dimensional...
Network theory has become an excellent method of choice through which biological data are smoothly i...
Structure graphs, in which interacting amino acids/nucleotides correspond to linked nodes, represent...
Communication within and across proteins is crucial for the biological functioning of proteins. Ex...
Communication within and across proteins is crucial for the biological functioning of proteins. Expe...
Graph theory is being increasingly used to study the structural communication in biomolecular system...
Graph theory is being increasingly used to study the structural communication in biomolecular syste...
Graph theory is being increasingly used to study the structural communication in biomolecular system...
As genomic repositories increasingly grow with a variety of data from a multitude of organisms, the ...
Methods developed toward computational exploration of protein landscapes have become standardized to...
The functional properties of proteins are decided not only by their relatively rigid overall structu...
We developed a mixed Protein Structure Network (PSN) and Elastic Network Model-Normal Mode Analysis ...
A mixed Protein Structure Network (PSN) and Elastic Network Model-Normal Mode Analysis (ENM-NMA)-bas...
The allosteric concept has played a key role in understanding the biological functions of proteins. ...
International audienceA methodological framework is presented for the graph theoretical interpretati...
Protein complexes are not static, but rather highly dynamic with subunits that undergo 1-dimensional...
Network theory has become an excellent method of choice through which biological data are smoothly i...
Structure graphs, in which interacting amino acids/nucleotides correspond to linked nodes, represent...
Communication within and across proteins is crucial for the biological functioning of proteins. Ex...
Communication within and across proteins is crucial for the biological functioning of proteins. Expe...
Graph theory is being increasingly used to study the structural communication in biomolecular system...
Graph theory is being increasingly used to study the structural communication in biomolecular syste...
Graph theory is being increasingly used to study the structural communication in biomolecular system...
As genomic repositories increasingly grow with a variety of data from a multitude of organisms, the ...
Methods developed toward computational exploration of protein landscapes have become standardized to...
The functional properties of proteins are decided not only by their relatively rigid overall structu...
We developed a mixed Protein Structure Network (PSN) and Elastic Network Model-Normal Mode Analysis ...
A mixed Protein Structure Network (PSN) and Elastic Network Model-Normal Mode Analysis (ENM-NMA)-bas...
The allosteric concept has played a key role in understanding the biological functions of proteins. ...
International audienceA methodological framework is presented for the graph theoretical interpretati...
Protein complexes are not static, but rather highly dynamic with subunits that undergo 1-dimensional...