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Protein-RNA Docking Benchmark v3.0 Integrated With Binding Affinity.

Shri Kant1, Chandran Nithin2, Sunandan Mukherjee3

  • 1Computational Structural Biology Laboratory, Department of Bioscience and Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur, India.

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|April 9, 2025
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Summary
This summary is machine-generated.

The updated Protein-RNA Docking Benchmark v3.0 (PRDBv3.0) expands protein-RNA interaction data with 197 cases. This resource aids in evaluating docking and binding affinity prediction methods.

Keywords:
binding affinityconformational flexibilityprotein–RNA complexesprotein–RNA dockingprotein–RNA interactions

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Area of Science:

  • Structural Biology
  • Computational Biology
  • Bioinformatics

Background:

  • Protein-RNA interactions are crucial for cellular processes.
  • Accurate modeling of these interactions is essential for understanding biological function.
  • Existing benchmarks for protein-RNA docking require updates to reflect new structural data.

Purpose of the Study:

  • To introduce the Protein-RNA Docking Benchmark version 3.0 (PRDBv3.0), an updated resource for evaluating computational docking methods.
  • To provide a comprehensive dataset including various binding states (unbound-unbound, unbound-bound, bound-unbound) and flexibility classes (rigid-body, semi-flexible, full-flexible).
  • To catalog binding affinity data and RNA-binding domains to support the development of more accurate prediction tools.

Main Methods:

  • Curated 197 protein-RNA complexes from the Protein Data Bank (PDB) up to July 2024.
  • Classified complexes based on binding partner states (UU, UB, BU) and protein interface flexibility (R, S, F).
  • Catalogued binding affinity (Kd) values for 105 complexes and 255 unique RNA-binding domains.

Main Results:

  • PRDBv3.0 contains 197 test cases, a 62% increase from the previous version.
  • The benchmark includes 27 UU, 160 UB, and 10 BU cases.
  • It features 117 rigid-body, 41 semi-flexible, and 29 full-flexible complexes.
  • Binding affinity data and RNA-binding domains are included for enhanced analysis.

Conclusions:

  • PRDBv3.0 offers a significantly expanded and more diverse dataset for benchmarking protein-RNA docking tools.
  • The inclusion of affinity data and RNA-binding domains facilitates the development of methods predicting binding strength.
  • This updated benchmark will drive advancements in computational approaches for studying protein-RNA interactions.