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Use of pair potentials across protein interfaces in screening predicted docked complexes
G Moont1, H A Gabb, M J Sternberg
1Biomolecular Modelling Laboratory, Imperial Cancer Research Fund, London, United Kingdom.
Proteins
|May 18, 1999
Summary
This study developed an optimal method using empirical residue-residue pair potentials to screen protein-protein dockings. The refined strategy accurately identified correct protein complex structures within top-ranked results.
Area of Science:
- Computational biology
- Structural biology
- Biophysics
Background:
- Protein-protein docking is crucial for understanding biological processes.
- Accurate prediction of protein complex structures remains a challenge.
- Existing methods often require refinement for reliable results.
Purpose of the Study:
- To develop and optimize empirical residue-residue pair potentials for screening protein-protein docking complexes.
- To evaluate the effectiveness of different potential derivation strategies.
- To improve the accuracy of protein complex structure prediction.
Main Methods:
- Utilized empirical residue-residue pair potentials derived from intramolecular and intermolecular pairings.
- Employed the 'ftdock' algorithm for initial complex generation based on shape complementarity.
- Tested various potential functions, including a mole-fraction calculated random model.
- Incorporated the 'multidock' side-chain refinement algorithm.
Main Results:
- The optimal method identified correct dockings within the top 12% of ranked complexes.
- A combined strategy using 'ftdock' and 'multidock' significantly improved accuracy.
- Correct enzyme-inhibitor dockings were found within the top 5, and antibody-antigen dockings within the top 40.
Conclusions:
- Empirical residue-residue pair potentials, particularly those derived from intramolecular pairings using a mole-fraction model, are effective for screening protein-protein dockings.
- Combining docking generation with side-chain refinement enhances the accuracy of predicting protein complex structures.
- The developed strategy offers a more reliable approach for structural biologists and computational chemists.