Application of docking methodologies to modeled proteins
| Autor: | Michael J.E. Sternberg, Ilya A. Vakser, Taras Dauzhenka, Petras J. Kundrotas, Amar Singh |
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| Přispěvatelé: | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Biochemistry & Molecular Biology
Computer science PREDICTION Bioinformatics Biophysics interactome Computational biology Biochemistry protein interactions Protein Structure Secondary Article Protein–protein interaction 03 medical and health sciences Structural Biology Macromolecular docking Amino Acid Sequence benchmarking TEMPLATES Databases Protein OPTIMIZATION Molecular Biology Native structure 01 Mathematical Sciences 030304 developmental biology protein modeling 0303 health sciences Binding Sites Science & Technology 030302 biochemistry & molecular biology Proteins Protein structure prediction 06 Biological Sciences structure prediction Molecular Docking Simulation Docking (molecular) Protein model COMPLEXES 08 Information and Computing Sciences CHALLENGE Life Sciences & Biomedicine Software Protein Binding |
| Zdroj: | Proteins |
| Popis: | Protein docking is essential for structural characterization of protein interactions. Besides providing the structure of protein complexes, modeling of proteins and their complexes is important for understanding the fundamental principles and specific aspects of protein interactions. The accuracy of protein modeling, in general, is still less than that of the experimental approaches. Thus, it is important to investigate the applicability of docking techniques to modeled proteins. We present new comprehensive benchmark sets of protein models for the development and validation of protein docking, as well as a systematic assessment of free and template-based docking techniques on these sets. As opposed to previous studies, the benchmark sets reflect the real case modeling/docking scenario where the accuracy of the models is assessed by the modeling procedure, without reference to the native structure (which would be unknown in practical applications). We also expanded the analysis to include docking of protein pairs where proteins have different structural accuracy. The results show that, in general, the template-based docking is less sensitive to the structural inaccuracies of the models than the free docking. The near-native docking poses generated by the template-based approach, typically, also have higher ranks than those produces by the free docking (although the free docking is indispensable in modeling the multiplicity of protein interactions in a crowded cellular environment). The results show that docking techniques are applicable to protein models in a broad range of modeling accuracy. The study provides clear guidelines for practical applications of docking to protein models. |
| Databáze: | OpenAIRE |
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