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.
CITATION STYLE
Cia, G., Kwasigroch, J., Stamatopoulos, B., Rooman, M., & Pucci, F. (2023). pyScoMotif: discovery of similar 3D structural motifs across proteins. Bioinformatics Advances, 3(1). https://doi.org/10.1093/bioadv/vbad158
Mendeley helps you to discover research relevant for your work.