Integrating AlphaFold2 Models and Clinical Data to Improve the Assessment of Short Linear Motifs (SLiMs) and Their Variants' Pathogenicity
Franco G. Brunello, Lorenzo Erra, Juan Pablo Nicola, Marcelo Adrian Marti
This paper improves SLiM variant pathogenicity assessment by integrating AlphaFold2-generated structures into MotSASi, enhancing prediction accuracy over existing tools.
PLoS Computational Biology · Aug 4, 2025Peer-reviewedBioinformatics