Title | ProteinFishing: a protein complex generator within the ModelX toolsuite. |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Cianferoni, D, Radusky, LG, Head, SA, Serrano, L, Delgado, J |
Journal | Bioinformatics |
Volume | 36 |
Issue | 14 |
Pagination | 4208-4210 |
Date Published | 2020 08 15 |
ISSN | 1367-4811 |
Keywords | Algorithms, Proteins, Software |
Abstract | SUMMARY: Accurate 3D modelling of protein-protein interactions (PPI) is essential to compensate for the absence of experimentally determined complex structures. Here, we present a new set of commands within the ModelX toolsuite capable of generating atomic-level protein complexes suitable for interface design. Among these commands, the new tool ProteinFishing proposes known and/or putative alternative 3D PPI for a given protein complex. The algorithm exploits backbone compatibility of protein fragments to generate mutually exclusive protein interfaces that are quickly evaluated with a knowledge-based statistical force field. Using interleukin-10-R2 co-crystalized with interferon-lambda-3, and a database of X-ray structures containing interleukin-10, this algorithm was able to generate interleukin-10-R2/interleukin-10 structural models in agreement with experimental data. AVAILABILITY AND IMPLEMENTATION: ProteinFishing is a portable command-line tool included in the ModelX toolsuite, written in C++, that makes use of an SQL (tested for MySQL and MariaDB) relational database delivered with a template SQL dump called FishXDB. FishXDB contains the empty tables of ModelX fragments and the data used by the embedded statistical force field. ProteinFishing is compiled for Linux-64bit, MacOS-64bit and Windows-32bit operating systems. This software is a proprietary license and is distributed as an executable with its correspondent database dumps. It can be downloaded publicly at http://modelx.crg.es/. Licenses are freely available for academic users after registration on the website and are available under commercial license for for-profit organizations or companies. CONTACT: javier.delgado@crg.eu or luis.serrano@crg.eu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
DOI | 10.1093/bioinformatics/btaa533 |
Alternate Journal | Bioinformatics |
Citation Key | 396 |
PubMed ID | 32437555 |
PubMed Central ID | PMC7390992 |