This work proposes a multi-objective algorithmic method for modelling the prediction of the conformation and configuration of ligands in receptor-ligand complexes by considering energy contributions of molecular interactions. The proposed approach is an improvement over others in the field, where the principle insight is that a Pareto front helps to understand the tradeoffs in the actual problem. The method is based on three main features: (i) Representation of molecular data using a trigonometric model; (ii) Modelling of molecular interactions with all-atoms force field energy functions and (iii) Exploration of the conformational space through a multi-objective evolutionary algorithm. The performance of the proposed model was evaluated and validated over a set of well known complexes. The method showed a promising performance when predicting ligands with high number of rotatable bonds. © 2013 Springer-Verlag.
CITATION STYLE
Sandoval-Perez, A., Becerra, D., Vanegas, D., Restrepo-Montoya, D., & Nino, F. (2013). A multi-objective optimization energy approach to predict the ligand conformation in a docking process. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7831 LNCS, pp. 181–192). https://doi.org/10.1007/978-3-642-37207-0_16
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