Publications

Thesis.

• David Becerra (2010), Master Thesis, A multi-objective ab-initio method for protein folding prediction at an atomic conformation level, National University of Colombia, Supervisor Luis Nino (Meritorius Award). Download here

• David Becerra and Sergio Duarte (2007), Bachelor Thesis, A computational model for protein folding prediction using evolutionary algorithms, National University of Colombia, Supervisor Luis Nino (Best Thesis Award).

International Journals

• Daniel Restrepo-Montoya, David Becerra, Juan G. Carvajal-Patino, Alvaro Mongui, Luis F. Nino, Manuel E. Patarroyo and Manuel A. Patarroyo. Identification of Plasmodium vivax proteins with potential role in invasion using sequence redundancy reduction and profile hidden Markov models. PLoS ONE. 2011,6 (10). Download here

International Book Chapters.

• Dipankar Dasgupta, Deon Garrett, Fernando Nino, Alex Banceanu and David Becerra: A Genetic-Based Solution to the Task-Based Sailor Assignment Problem. Variants of Evolutionary Algorithms for Real-World Applications, to be published by Springer-Verlag 2011.

Local Book Chapters

• Becerra, D. Restrepo-Montoya, D. Nino, LF. (2012) Chapter Metodos computacionales para prediccion de plegamientos de proteinas in Book;Estadistica Genomica: orientada a la prediccion funcional de proteinas”. ed. Bogota : Universidad Nacional de Colombia. Primera Edicion, ISBN 978-958-761-256-1.

Peer-reviewed International Conferences.

• Angelica Sandoval and David Becerra, Daniel Restrepo-Montoya, Diana Vanegas, Luis F. Nino. “A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation and Configuration in a Docking Process”. To be published in the Proceedings of the European Conference on Evolutionary Computation, Machine Learning and Data Mining in Computational Biology, EvoStar 2013.

• David Becerra, Juan Mendivelso and Yoan Pinzon. “A Multiobjective Approach to the Weighted Longest Common Subsequence Problem”. In Proceedings of the Prague Stringology Conference 2012 (PSC 2012), (Prague, Czech Republic. 2012).

• David Becerra, Angelica Sandoval, Daniel Restrepo-Montoya, Luis F. Nino: A parallel multi-objective ab initio approach for protein structure prediction. BIBM 2010: 137-141 See here

• Dipankar Dasgupta, David Becerra, Alex Banceanu, Fernando Nino and James Simien: A Parallel Framework for Multi-objective Evolutionary Optimization, In Proceedings of the 2010 IEEE World Congress on Computational Intelligence (WCCI 2010), (Barcelona, Spain, Jul 18 - 23, 2010).

• David Becerra and Wilson Soto, Fernando Nino, Yoan Pinzon (2010), An Algorithm for Constrained LCS, In Proceedings of the 8th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA;10), (Hammamet, Tunisia, 2010).

• David Becerra, Diana Vanegas, Giovanni Cantor Fernando Nino (2009), An Association Rule based Approach for Biological Sequence Feature Classification, In Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2009) (Trondheim, Norway, May 18 - 21, 2009), Page(s):3111 - 3118.

• Sergio Duarte and David Becerra, Fernando Nino, Yoan Pinzon (2007), A Novel Image Encryption Scheme Based on a Generalized Chinese Remainder Theorem, 19th International Workshop on Combinatorial Algorithms (IWOCA’08), (Nagoya, Japan. September 13-15 de 2008), poster paper.

• Sergio Duarte and David Becerra, Fernando Nino, Yoan Pinzon (2007), A Novel Ab-Initio Genetic Based Approach for Protein Folding Prediction, In Proceedings of the 2007 Conference on Genetic and Evolutionary Computation (GECCO’07) (London, UK, July 7 - 11, 2007), pages 393-400, ACM Press.