PRosettaC
PRosettaC predicts ternary protein–PROTAC–E3 ligase complex structures to provide structural models for rational design and optimization of PROTAC molecules.
Key Features:
- Ternary Complex Prediction: Predicts the structure of ternary complexes with high accuracy, often achieving atomic-level precision.
- Benchmarking Success: Benchmarked against ten known ternary complex crystal structures, successfully predicting six to atomic accuracy within one of the top three clusters.
- Input Requirements: Requires two protein structures (the target protein and E3 ligase) with their respective ligands and the PROTAC chemical structure provided in SMILES format.
- Output Models: Outputs detailed models of the predicted ternary complex including modeled protein chains and PROTAC binding moieties.
Scientific Applications:
- Rational Design: Provides structural models of ternary complexes to inform rational design strategies for new PROTACs.
- Optimization: Aids refinement of existing PROTAC molecules to enhance efficacy and specificity.
- Time and Resource Efficiency: Offers predictive insights into complex formation that can reduce time and resources required for experimental synthesis.
- CRBN/BTK Modeling: Applied to model a CRBN/BTK complex, aligning with experimental results across various PROTACs.
Methodology:
Alternates sampling the conformational space of protein–protein interactions and the PROTAC molecule (dual-space exploration) to generate near-native predictions modeling both protein chains and PROTAC binding moieties.
Topics
Details
- License:
- MIT
- Programming Languages:
- Python
- Added:
- 1/18/2021
- Last Updated:
- 1/28/2021
Operations
Publications
Zaidman D, Prilusky J, London N. PRosettaC: Rosetta Based Modeling of PROTAC Mediated Ternary Complexes. Journal of Chemical Information and Modeling. 2020;60(10):4894-4903. doi:10.1021/acs.jcim.0c00589. PMID:32976709. PMCID:PMC7592117.
PMID: 32976709
PMCID: PMC7592117
Funding: - Israel Science Foundation: 2462/19
- Ministry of Culture and Sport: 3-14763
Links
Repository
https://github.com/LondonLab/PRosettaC