On the use of direct-coupling analysis with a reduced alphabet of amino acids combined with super-secondary structure motifs for protein fold prediction. (22nd April 2021)

• Record Type: Journal Article
• Authors: Anton, Bernat; Besalú, Mireia; Fornes, Oriol; Bonet, Jaume; Molina, Alexis; Molina-Fernandez, Ruben; De las Cuevas, Gemma; Fernandez-Fuentes, Narcis; Oliva, Baldo
• Is Part Of: NAR genomics and bioinformatics. Volume 3:issue 2(2021)
• Publication Date: 2021-04-22
• Subjects: Genomics -- Periodicals; Bioinformatics -- Periodicals; 572.8
• DOI: 10.1093/nargab/lqab027
• Languages: English
• ISSNs: 2631-9268

Abstract

Abstract: 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.