DDGemb: predicting protein stability change upon single- and multi-point variations with embeddings and deep learning.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: The knowledge of protein stability upon residue variation is an important step for functional protein design and for understanding how protein variants can promote disease onset. Computational methods are important to complement experimental approaches and allow a fast screening of large datasets of variations.

Authors

  • Castrense Savojardo
  • Matteo Manfredi
    Department of Urology, "San Luigi Gonzaga" Hospital, University of Turin, Orbassano (Turin), Italy.
  • Pier Luigi Martelli
    Biocomputing Group, CIRI Health Sciences & Technologies (HST), University of Bologna, Bologna, Italy.
  • Rita Casadio