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Ensemble Docking from Homology Models.

Eva Maria Novoa1, Lluis Ribas de Pouplana1, Xavier Barril1

  • 1Joint IRB-BSC Research Program in Computational Biology, Institute for Research in Biomedicine, Josep Samitier 1-5, Barcelona 08028, Spain, Cell and Developmental Biology, Institute for Research in Biomedicine, Josep Samitier 1-5, Barcelona 08028, Institució Catalana per la Recerca i Estudis Avançats, Passeig Lluis Companys 23, Barcelona 08010, Spain, Departament de Fisicoquímica, Facultat de Farmàcia, Avgda Diagonal sn, Barcelona 08028, Spain, and Structural Bioinformatics Node Instituto Nacional de Bioinformática, Institute of Research in Biomedicine, Josep Samitier 1-5, Barcelona 08028, Spain.

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Summary
This summary is machine-generated.

Homology models provide reliable protein structures for high-throughput docking, comparable to crystal structures. An ensemble docking approach using multiple models enhances results, expanding applications for human protein targets.

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Area of Science:

  • Structural Biology
  • Computational Chemistry
  • Drug Discovery

Background:

  • High-throughput docking is crucial for drug discovery.
  • Quality of protein structural templates impacts docking accuracy.
  • Homology modeling offers a way to generate protein structures.

Purpose of the Study:

  • To evaluate the quality of homology models as templates for high-throughput docking.
  • To develop an improved docking strategy using multiple homology models.

Main Methods:

  • Systematic exploration of homology model quality for docking.
  • Design and implementation of an ensemble docking approach.
  • Assessment of docking performance using experimental X-ray structures as benchmarks.

Main Results:

  • Homology models show comparable quality to crystal structures for docking, even with moderate sequence identity.
  • Ensemble docking using multiple homology models outperforms single experimental structures.
  • This approach expands the utility of high-throughput docking for human proteins by over fivefold.

Conclusions:

  • Homology models are valuable templates for high-throughput docking.
  • Ensemble docking significantly improves prediction accuracy and applicability.
  • The developed method broadens the scope of drug target identification for human proteins.