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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
Optimal design of protein docking potentials: efficiency and limitations.
1Department of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA.
We developed new protein docking potentials (PDPs) using linear programming to accurately predict protein complex structures, even with conformational changes. These potentials successfully identified correct protein-protein docking among thousands of decoys.
Area of Science:
- Computational Biology
- Structural Biology
- Bioinformatics
Background:
- Protein-protein docking is crucial for understanding functional genomics.
- Predicting protein complex structures is challenging, especially when proteins change shape upon binding.
- Existing scoring functions struggle to balance flexibility and specificity for accurate docking.
Purpose of the Study:
- To derive novel protein docking potentials (PDPs) using linear programming.
- To create scoring functions capable of handling protein conformational changes during docking.
- To improve the accuracy of predicting native protein-protein complex structures.
Main Methods:
- Utilized a linear programming technique to derive protein docking potentials (PDPs).
- Generated approximately 400,000 decoys per complex based on shape complementarity.
- Formulated ca. 25 million inequalities to optimize PDPs for distinguishing native from non-native structures.
Main Results:
- Developed optimal PDPs that successfully discriminated native structures among top-ranked decoys in 59/63 bound-bound cases.
- Achieved accurate discrimination for correctly docked structures within 4.0 Å root-mean-square deviation.
- Validated performance through jackknife tests and CAPRI ranking challenges.
Conclusions:
- The derived PDPs effectively identify correct protein-protein complexes, even with conformational flexibility.
- PDPs offer a significant advancement in computational protein-protein docking.
- These potentials reveal distinct features compared to protein folding potentials, highlighting their specialized utility.
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