RosettaLigand docking with full ligand and receptor flexibility.

Area of Science:

• Computational biology
• Structural bioinformatics
• Drug discovery

Background:

• Protein-small molecule docking is crucial for drug discovery.
• Existing docking programs often overlook protein conformational flexibility.
• RosettaLigand previously addressed side-chain flexibility in binding sites.

Purpose of the Study:

• To extend RosettaLigand by including ligand and receptor backbone flexibility.
• To improve the accuracy of computational docking predictions.
• To enhance the identification of correct ligand-bound protein conformations.

Main Methods:

• Developed extensions to RosettaLigand to incorporate full ligand flexibility.
• Implemented receptor backbone flexibility into the docking algorithm.
• Evaluated performance using retrospective and prospective cross-docking tests.

Main Results:

• Including receptor backbone flexibility improved docked complex accuracy.
• The average RMSD of top-scoring poses decreased compared to rigid-backbone docking.
• Correctly positioned ligand poses (within 2 Å RMSD) were achieved in 64% of challenging test cases.

Conclusions:

• Flexible receptor backbone modeling enhances computational docking accuracy.
• The extended RosettaLigand provides a more reliable tool for drug discovery.
• This advancement aids in predicting ligand-protein interactions more precisely.