The targets of CAPRI rounds 20-27

Area of Science:

• Computational biology and structural bioinformatics.
• Protein-protein interaction prediction and analysis.

Background:

• The CAPRI (Computer-Aided Protein-Protein Interaction) challenge assesses computational methods for predicting protein complex structures.
• Previous rounds focused on protein assemblies, but recent rounds expanded to include more complex scenarios.

Purpose of the Study:

• To evaluate the performance of various computational approaches in predicting protein complex structures and binding affinities.
• To introduce and assess new prediction tasks, including solvent positions, protein-polysaccharide complexes, and binding affinity prediction.
• To drive innovation in docking methods and scoring functions for molecular interactions.

Main Methods:

• Analysis of prediction results from eight CAPRI rounds (2010-2012) involving 15 targets.
• Inclusion of diverse targets: protein assemblies, protein-polysaccharide complexes, and designed protein engineering complexes.
• Introduction of binding affinity prediction as a novel experimental task.

Main Results:

• Five targets represented traditional protein assemblies, while others presented novel challenges.
• Successful prediction of solvent positions at interfaces and protein-polysaccharide complex structures.
• Binding affinity prediction emerged as a challenging but crucial new area for the CAPRI community.

Conclusions:

• The CAPRI challenge continues to evolve, incorporating more complex biological systems and prediction tasks.
• The introduction of binding affinity prediction stimulated the development of advanced scoring functions and docking procedures.
• These advancements are expected to improve structure-based free energy estimates and aid in the design of molecular binders.