Ontology highlight
ABSTRACT: Background
Residue Interaction Networks (RINs) map the crystallographic description of a protein into a graph, where amino acids are represented as nodes and non-covalent bonds as edges. Determination and visualization of a protein as a RIN provides insights on the topological properties (and hence their related biological functions) of large proteins without dealing with the full complexity of the three-dimensional description, and hence it represents an invaluable tool of modern bioinformatics.Results
We present RINmaker, a fast, flexible, and powerful tool for determining and visualizing RINs that include all standard non-covalent interactions. RINmaker is offered as a cross-platform and open source software that can be used either as a command-line tool or through a web application or a web API service. We benchmark its efficiency against the main alternatives and provide explicit tests to show its performance and its correctness.Conclusions
RINmaker is designed to be fully customizable, from a simple and handy support for experimental research to a sophisticated computational tool that can be embedded into a large computational pipeline. Hence, it paves the way to bridge the gap between data-driven/machine learning approaches and numerical simulations of simple, physically motivated, models.
SUBMITTER: Spano A
PROVIDER: S-EPMC10496328 | biostudies-literature | 2023 Sep
REPOSITORIES: biostudies-literature
Spanò Alvise A Fanton Lorenzo L Pizzolato Davide D Moi Jacopo J Vinci Francesco F Pesce Alberto A Dongmo Foumthuim Cedrix J CJ Giacometti Achille A Simeoni Marta M
BMC bioinformatics 20230911 1
<h4>Background</h4>Residue Interaction Networks (RINs) map the crystallographic description of a protein into a graph, where amino acids are represented as nodes and non-covalent bonds as edges. Determination and visualization of a protein as a RIN provides insights on the topological properties (and hence their related biological functions) of large proteins without dealing with the full complexity of the three-dimensional description, and hence it represents an invaluable tool of modern bioinf ...[more]