Computational and Experimental Protein Variant Interpretation


Activities

Project Acronym: CeProVI
Project Code: MIUR-PRIN-201744NR8S
Project Title: Integrative tools for defining the molecular basis of the diseases:
Computational and Experimental methods for Protein Variant Interpretation.


Here we summarize the main activities performed for the implementation of the project.

Meetings


Publications

  • Savojardo C et al.. (2019). On the critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation. Brief Bioinform.. bbz168.
  • Benevenuta S, Fariselli P. (2019). On the Upper Bounds of the Real-Valued Predictions. Bioinformatics and Biology Insights. 13:1-4.
  • M. Banchelli et al.. (2020). Nanoscopic insights into the surface conformation of neurotoxic amyloid β oligomers. RSC Advances. 10, 21907-21913.
  • Dinh Quoc Huy Pham et al. (2020). Computational Model to Unravel the Function of Amyloid-β Peptides in Contact with a Phospholipid Membrane. J. Chem. Phys. B. 124: 3300.
  • Morante S. et al. (2020). SARS-CoV-2 virion stabilization by Zn binding. Frontiers in Molecular Biosciences.
  • La Penna G and Morante S. (2020). Aggregates sealed by ions in "Computer Simulations of Aggregation of Proteins and Peptides". Methods in Molecular Biology.
  • Sanavia T et al. (2020). Limitations and challenges in protein stability prediction upon genome variations: towards future applications in precision medicine. Computational and Structural Biotechnology Journal. 18: 1968-1079.

Seminars and Talks