1. Gene Ontology Consortium: going forward / The Gene Ontology Consortium // Nucleic Acids Research. - 2015. - Vol. 43. - P. D1049-D1056. https://doi.org/10.1093/nar/gku1179
2. Metrics for GO based protein semantic similarity: a systematic evaluation / C. Pesquita [et al.] // BMC Bioinformatics. - 2008. - Vol. 9. - P. S4. https://doi.org/10.1186/1471-2105-9-s5-s4
3. Resnik, P. Using Information Content to Evaluate Semantic Similarity in a Taxonomy / P. Resnik // Proceedings of the 14th International Joint Conference on Artificial Intelligence. - 1995. - Vol. 1. - P. 448-453.
4. A new measure for functional similarity of gene products based on Gene Ontology / A. Schlicker [et al.] // BMC Bioinformatics. - 2006. - Vol. 7, N 1. - Art. 302. https://doi.org/10.1186/1471-2105-7-302
5. Couto, F. M. Measuring semantic similarity between Gene Ontology terms / F. M. Couto, M. J. Silva, P. M. Coutinho // Data & Knowledge Engineering. - 2007. - Vol. 61, N 1. - P. 137-152. https://doi.org/10.1016/j.datak.2006.05.003
6. Zhang, Y. Scoring Function for Automated Assessment of Protein Structure Template Quality / Y. Zhang, J. Skolnick // PROTEINS: Structure, Function, and Bioinformatics. - 2004. - Vol. 57, N 4. - P. 702-710. https://doi.org/10.1002/prot.20264
7. Zhang, Y. TM-align: a protein structure alignment algorithm based on the TM-score / Y. Zhang, J. Skolnick // Nucleic Acids Research. - 2005. - Vol. 33, N 7. - P. 2302-2309.
8. Negroni, J. Assessing the Applicability of Template-Based Protein Docking in the Twilight Zone / J. Negroni, R. Mosca, P. Aloy // Structure. - 2014. - Vol. 22, N 9. - P. 1356-1362. https://doi.org/10.1016/j.str.2014.07.009
9. DOCKGROUND resource for studying protein-protein interfaces / D. Douguet [et al.] // Bioinformatics. - 2006. - Vol. 22, N 21. - P. 2612-2618. https://doi.org/10.1093/bioinformatics/btl447
10. DOCKGROUND: A comprehensive data resource for modeling of protein complexes / P. J. Kundrotas [et al.] // Protein Sci. - 2018. - Vol. 27, N 1. - P. 172-181. https://doi.org/10.1002/pro.3295
11. The Protein Data Bank / H. M. Berman [et al.] // Nucleic Acids Research. - 2000. - Vol. 28, N 1. - P. 235-242. https://doi.org/10.1093/nar/28.1.235
12. Structural templates for comparative protein docking / I. Anishchenko [et al.] // Proteins. - 2014. - Vol. 83, N 9. - P. 1563-1570. https://doi.org/10.1002/prot.24736
13. Das, S. Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives / S. Das, A. Abraham, A. Konar // Advances of Computational Intelligence in Industrial Systems. - 2008. - Vol. 116. - P. 1-38. https://doi.org/10.1007/978-3-540-78297-1_1
14. Sinha, R. Docking by structural similarity at protein-protein interfaces / R. Sinha, P. J. Kundrotas, I. A. Vakser // Proteins. - 2010. - Vol. 78, N 15. - P. 3235-3241. https://doi.org/10.1002/prot.22812
15. Gene ontology improves template selection in comparative protein docking / A. Hadarovich [et al.] // Proteins. - 2019. - Vol. 87, N 3. - P. 245-253. https://doi.org/10.1002/prot.25645
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