Asencio Cortés, GualbertoAguilar Ruiz, Jesús SalvadorMárquez Chamorro, Alfonso Eduardo2022-05-202022-05-202015Asencio Cortés, G., Aguilar Ruiz, J.S. y Márquez Chamorro, A.E. (2015). An Efficient Nearest Neighbor Method for Protein Contact Prediction. En HAIS 2015 : 10th International Conference on Hybrid Artificial Intelligence Systems (50-60), Bilbao, España: Springer.978-3-319-19643-50302-9743https://hdl.handle.net/11441/133491A variety of approaches for protein inter-residue contact pre diction have been developed in recent years. However, this problem is far from being solved yet. In this article, we present an efficient nearest neigh bor (NN) approach, called PKK-PCP, and an application for the protein inter-residue contact prediction. The great strength of using this approach is its adaptability to that problem. Furthermore, our method improves considerably the efficiency with regard to other NN approaches. Our NN-based method combines parallel execution with k-d tree as search algorithm. The input data used by our algorithm is based on structural features and physico-chemical properties of amino acids besides of evo lutionary information. Results obtained show better efficiency rates, in terms of time and memory consumption, than other similar approaches.application/pdf11engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/k-nearest neighbork-d treeProtein inter-residue contact predictioninfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1007/978-3-319-19644-2_5