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Published on: January 5, 2024
Intermolecular Contact Potentials for Protein-Protein Interactions Extracted from Binding Free Energy Changes upon
Iain H Moal1, Juan Fernandez-Recio1
1Joint BSC-IRB Research Program in Computational Biology, Life Science Department, Barcelona Supercomputing Center , C/Jordi Girona 29, 08034 Barcelona, Spain.
This study derives new atomic and residue contact potentials directly from experimental mutation data to improve protein-protein interaction energetics prediction. These potentials enhance protein complex modeling and docking pose validation.
Area of Science:
- Structural biology
- Computational biophysics
- Protein biochemistry
Background:
- Predicting protein-protein interaction energetics is crucial for modeling protein complexes.
- Current methods often infer potentials from contact frequencies, involving approximations.
- Statistically inferred potentials may not fully capture physical chemistry.
Purpose of the Study:
- To derive atomic and residue contact potentials directly from experimental binding free energy changes.
- To investigate the physical chemistry congruence of these new potentials.
- To validate the derived potentials using protein-protein docking.
Main Methods:
- Utilized experimental binding free energy changes from mutations.
- Employed unweighted least-squares fitting and bootstrap aggregating.
- Developed a weighted scheme optimized against absolute binding affinity data.
Main Results:
- Generated novel sets of atomic and residue contact potentials.
- Investigated the physical chemistry basis of the derived potentials.
- Validated potentials through ranking and clustering of protein-protein docking poses.
Conclusions:
- Direct derivation from experimental data offers an alternative to statistical inference.
- The new potentials show congruence with physical chemistry principles.
- Validated potentials improve the accuracy of protein-protein docking and complex modeling.
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