par Cia Beriain, Gabriel 
;Kwasigroch, Jean-Marc ;Stamatopoulos, Basile ;Rooman, Marianne ;Pucci, Fabrizio
Référence Bioinformatics Advances, 3, 1
Publication Publié, 2023-01-01
;Kwasigroch, Jean-Marc ;Stamatopoulos, Basile ;Rooman, Marianne ;Pucci, Fabrizio Référence Bioinformatics Advances, 3, 1
Publication Publié, 2023-01-01
Article révisé par les pairs
| Résumé : | Abstract Motivation The fast and accurate detection of similar geometrical arrangements of protein residues, known as 3D structural motifs, is highly relevant for many applications such as binding region and catalytic site detection, drug discovery and structure conservation analyses. With the recent publication of new protein structure prediction methods, the number of available protein structures is exploding, which makes efficient and easy-to-use tools for identifying 3D structural motifs essential. Results We present an open-source Python package that enables the search for both exact and mutated motifs with position-specific residue substitutions. The tool is efficient, flexible, accurate, and suitable to run both on computer clusters and personal laptops. Two successful applications of pyScoMotif for catalytic site identification are showcased. Availability and implementation The pyScoMotif package can be installed from the PyPI repository and is also available at https://github.com/3BioCompBio/pyScoMotif. It is free to use for non-commercial purposes. |
