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SWISH-X, an Expanded Approach to Detect Cryptic Pockets in Proteins and at Protein-Protein Interfaces.
Borsatto, Alberto; Gianquinto, Eleonora; Rizzi, Valerio; Gervasio, Francesco Luigi.
Affiliation
  • Borsatto A; School of Pharmaceutical Sciences, University of Geneva, 1205 Geneva, Switzerland.
  • Gianquinto E; Institute of Pharmaceutical Sciences of Western Switzerland, University of Geneva, 1205 Geneva, Switzerland.
  • Rizzi V; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland.
  • Gervasio FL; Department of Drug Science and Technology, University of Turin, 10125 Turin, Italy.
J Chem Theory Comput ; 20(8): 3335-3348, 2024 Apr 23.
Article in En | MEDLINE | ID: mdl-38563746
ABSTRACT
Protein-protein interactions mediate most molecular processes in the cell, offering a significant opportunity to expand the set of known druggable targets. Unfortunately, targeting these interactions can be challenging due to their typically flat and featureless interaction surfaces, which often change as the complex forms. Such surface changes may reveal hidden (cryptic) druggable pockets. Here, we analyze a set of well-characterized protein-protein interactions harboring cryptic pockets and investigate the predictive power of current computational methods. Based on our observations, we developed a new computational strategy, SWISH-X (SWISH Expanded), which combines the established cryptic pocket identification capabilities of SWISH with the rapid temperature range exploration of OPES MultiThermal. SWISH-X is able to reliably identify cryptic pockets at protein-protein interfaces while retaining its predictive power for revealing cryptic pockets in isolated proteins, such as TEM-1 ß-lactamase.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Beta-Lactamases / Proteins Language: En Journal: J Chem Theory Comput Year: 2024 Document type: Article Affiliation country: Suiza Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Beta-Lactamases / Proteins Language: En Journal: J Chem Theory Comput Year: 2024 Document type: Article Affiliation country: Suiza Country of publication: Estados Unidos