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Keyword: protein-protein interaction Clear all
5 claims from 3 papers
Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics
Improved prediction of protein-protein interactions using AlphaFold2
Bryant, Pozzati and Elofsson · Nature Communications · 2022
The authors applied AlphaFold2 to predict heterodimeric protein complexes, and built a score from the predicted interfaces to judge model quality and to tell interacting from non-interacting protein pairs.
Unchecked2 claimsShow 2 claims
- UncheckedAlphaFold2 with optimised sequence alignments produced acceptable-quality models (DockQ ≥ 0.23) for 63% of the heterodimeric protein complexes tested.“We find that the AlphaFold2 protocol together with optimised multiple sequence alignments, generate models with acceptable quality (DockQ ≥ 0.23) for 63% of the dimers.”
- Unchecked“From the predicted interfaces we create a simple function to predict the DockQ score which distinguishes acceptable from incorrect models as well as interacting from non-interacting proteins with state-of-art accuracy.”
Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics
AF2Complex predicts direct physical interactions in multimeric proteins with deep learning
Gao, An, Parks and Skolnick · Nature Communications · 2022
Unchecked2 claimsShow 2 claims
- Unchecked“Here, we demonstrate that the same neural network models from AF2 developed for single protein sequences can be adapted to predict the structures of multimeric protein complexes without retraining.”
- Unchecked“It achieves higher accuracy than some complex protein-protein docking strategies and provides a significant improvement over AF-Multimer, a development of AlphaFold for multimeric proteins.”
Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics
AlphaFold-Multimer accurately captures interactions and dynamics of intrinsically disordered protein regions
Omidi, Møller, Malhis, Bui and Gsponer · Proceedings of the National Academy of Sciences · 2024
Unchecked1 claim
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