SLiMMine software (Reliable prediction of short linear motifs in the human proteome)

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Rita Pancsa, Erzsébet Fichó, Zsofia E. Kalman, Csongor Gerdán, István Reményi, András Zeke, Gábor Tusnády, László Dobson
DOI: 10.5281/zenodo.18786454
Cited by: 0

Abstract

SLiMMine methods (description: Reliable prediction of short linear motifs in the human proteome)

Fields of Study & Subjects

Machine Learning in Bioinformatics Protein Structure and Dynamics Advanced Proteomics Techniques and Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
26 February 2026
Language
EN