2026-04-13T11:54:27Zhttps://recercat.cat/oai/request
oai:recercat.cat:10230/488062025-12-20T16:44:18Zcom_2072_6col_2072_452952
RECERCAT author Anton, Bernat author Besalú, Mireia author Fornés Crespo, Oriol, 1983- author Bonet Martínez, Jaume, 1982- author Molina, Alexis author Molina Fernández, Rubén author Cuevas, Gemma de las author Fernández Fuentes, Narcís author Oliva Miguel, Baldomero 2021-10-26T05:58:10Z2021-10-26T05:58:10Z2021 Direct-coupling analysis (DCA) for studying the coevolution of residues in proteins has been widely used to predict the three-dimensional structure of a protein from its sequence. We present RADI/raDIMod, a variation of the original DCA algorithm that groups chemically equivalent residues combined with super-secondary structure motifs to model protein structures. Interestingly, the simplification produced by grouping amino acids into only two groups (polar and non-polar) is still representative of the physicochemical nature that characterizes the protein structure and it is in line with the role of hydrophobic forces in protein-folding funneling. As a result of a compressed alphabet, the number of sequences required for the multiple sequence alignment is reduced. The number of long-range contacts predicted is limited; therefore, our approach requires the use of neighboring sequence-positions. We use the prediction of secondary structure and motifs of super-secondary structures to predict local contacts. We use RADI and raDIMod, a fragment-based protein structure modelling, achieving near native conformations when the number of super-secondary motifs covers >30-50% of the sequence. Interestingly, although different contacts are predicted with different alphabets, they produce similar structures.Spanish Ministry of Economy MINECO [BIO2014-57518-R, BIO2017-83591-R (FEDER, UE), BIO2017-85329-R (FEDER, UE)]; Generalitat de Catalunya [SGR17-1020]. © The Author(s) 2021. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com http://creativecommons.org/licenses/by-nc/4.0/ info:eu-repo/semantics/openAccess On the use of direct-coupling analysis with a reduced alphabet of amino acids combined with super-secondary structure motifs for protein fold prediction info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion