DegraderTCM: A Computationally Sparing Approach for Predicting Ternary Degradation Complexes.


Journal

ACS medicinal chemistry letters
ISSN: 1948-5875
Titre abrégé: ACS Med Chem Lett
Pays: United States
ID NLM: 101521073

Informations de publication

Date de publication:
11 Jan 2024
Historique:
received: 16 08 2023
revised: 30 11 2023
accepted: 30 11 2023
medline: 17 1 2024
pubmed: 17 1 2024
entrez: 17 1 2024
Statut: epublish

Résumé

Proteolysis targeting chimeras (PROTACs or degraders) represent a novel therapeutic modality that has raised interest thanks to promising results and currently undergoing clinical testing. PROTACs induce the selective proteasomal degradation of undesired proteins by the formation of ternary complexes (TCs). Having knowledge of the 3D structure of TCs is crucial for the design of PROTAC drugs. Here, we describe DegraderTCM, a new computational method for modeling PROTAC-mediated TCs that requires low computational power and provides sound results in a short time span. We validated DegraderTCM against a selected set of experimentally determined structures and defined a method to predict the PROTAC degradation activity based on the computed TC structure. Finally, we modeled TCs of known degraders holding significance for defining the method's applicability domain. A retrospective analysis of structure-activity relationships unveiled possibilities for utilizing DegraderTCM in the initial stages of designing novel PROTAC drugs.

Identifiants

pubmed: 38229751
doi: 10.1021/acsmedchemlett.3c00362
pmc: PMC10788944
doi:

Types de publication

Journal Article

Langues

eng

Pagination

45-53

Informations de copyright

© 2023 The Authors. Published by American Chemical Society.

Déclaration de conflit d'intérêts

The authors declare the following competing financial interest(s): The UniTO laboratory received sponsored support for PROTAC-related research from Chiesi Farmaceutici, Kymera Therapeutics, Boehringer Ingelheim, and Amgen.

Auteurs

Paolo Rossetti (P)

University of Torino, Department of Molecular Biotechnology and Health Sciences, CASSMedChem, Piazza Nizza 44, 10126 Torino, Italy.

Giulia Apprato (G)

University of Torino, Department of Molecular Biotechnology and Health Sciences, CASSMedChem, Piazza Nizza 44, 10126 Torino, Italy.

Giulia Caron (G)

University of Torino, Department of Molecular Biotechnology and Health Sciences, CASSMedChem, Piazza Nizza 44, 10126 Torino, Italy.

Giuseppe Ermondi (G)

University of Torino, Department of Molecular Biotechnology and Health Sciences, CASSMedChem, Piazza Nizza 44, 10126 Torino, Italy.

Matteo Rossi Sebastiano (M)

University of Torino, Department of Molecular Biotechnology and Health Sciences, CASSMedChem, Piazza Nizza 44, 10126 Torino, Italy.

Classifications MeSH