Community-wide evaluation of methods for predicting the effect of mutations on protein-protein interactions

Publication date

2013-11

Authors

Moretti, Rocco
Fleishman, Sarel J
Agius, Rudi
Torchala, Mieczyslaw
Bates, Paul A
Kastritis, Panagiotis L.ISNI 0000000391981934
Garcia Lopes Maia Rodrigues, JoãoISNI 0000000387692013
Trellet, Mikael EISNI 0000000455501793
Bonvin, Alexandre M.J.J.ORCID 0000-0001-7369-1322ISNI 0000000396501354
Cui, Meng

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Article
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Abstract

Community-wide blind prediction experiments such as CAPRI and CASP provide an objective measure of the current state of predictive methodology. Here we describe a community-wide assessment of methods to predict the effects of mutations on protein-protein interactions. Twenty-two groups predicted the effects of comprehensive saturation mutagenesis for two designed influenza hemagglutinin binders and the results were compared with experimental yeast display enrichment data obtained using deep sequencing. The most successful methods explicitly considered the effects of mutation on monomer stability in addition to binding affinity, carried out explicit side-chain sampling and backbone relaxation, evaluated packing, electrostatic, and solvation effects, and correctly identified around a third of the beneficial mutations. Much room for improvement remains for even the best techniques, and large-scale fitness landscapes should continue to provide an excellent test bed for continued evaluation of both existing and new prediction methodologies.

Keywords

Algorithms, Databases, Protein, Mutation, Protein Binding, Protein Interaction Mapping, CAPRI, hemagglutinin, binding, deep mutational scanning, yeast display, Taverne

Citation

Moretti, R, Fleishman, S J, Agius, R, Torchala, M, Bates, P A, Kastritis, P L, Garcia Lopes Maia Rodrigues, J, Trellet, M, Bonvin, A M J J, Cui, M, Rooman, M, Gillis, D, Dehouck, Y, Moal, I, Romero-Durana, M, Perez-Cano, L, Pallara, C, Jimenez, B, Fernandez-Recio, J, Flores, S, Pacella, M, Praneeth Kilambi, K, Gray, J J, Popov, P, Grudinin, S, Esquivel-Rodríguez, J, Kihara, D, Zhao, N, Korkin, D, Zhu, X, Demerdash, O N A, Mitchell, J C, Kanamori, E, Tsuchiya, Y, Nakamura, H, Lee, H, Park, H, Seok, C, Sarmiento, J, Liang, S, Teraguchi, S, Standley, D M, Shimoyama, H, Terashi, G, Takeda-Shitaka, M, Iwadate, M, Umeyama, H, Beglov, D, Hall, D R, Kozakov, D, Vajda, S, Pierce, B G, Hwang, H, Vreven, T, Weng, Z, Huang, Y, Li, H, Yang, X, Ji, X, Liu, S, Xiao, Y, Zacharias, M, Qin, S, Zhou, H-X, Huang, S-Y, Zou, X, Velankar, S, Janin, J, Wodak, S J, Baker, D & Garcia Lopes Maia Rodrigues, J 2013, 'Community-wide evaluation of methods for predicting the effect of mutations on protein-protein interactions', Proteins: Structure function and bioinformatics, vol. 81, no. 11, pp. 1980-1987. https://doi.org/10.1002/prot.24356