David Becerra
Cited by
Cited by
Fast and flexible protein design using deep graph neural networks
A Strokach, D Becerra, C Corbi-Verge, A Perez-Riba, PM Kim
Cell Systems 11 (4), 402-411. e4, 2020
Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment
D Kwak, A Kam, D Becerra, Q Zhou, A Hops, E Zarour, A Kam, ...
Genome biology 14 (10), 1-12, 2013
A parallel multi-objective ab initio approach for protein structure prediction
D Becerra, A Sandoval, D Restrepo-Montoya, FN Luis
2010 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2010
A novel ab-initio genetic-based approach for protein folding prediction
SRD Torres, DCB Romero, LFN Vasquez, YJP Ardila
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
A multi-objective evolutionary algorithm for improving multiple sequence alignments
W Soto, D Becerra
Brazilian Symposium on Bioinformatics, 73-82, 2014
A multi-objective optimization energy approach to predict the ligand conformation in a docking process
A Sandoval-Perez, D Becerra, D Vanegas, D Restrepo-Montoya, F Nino
European Conference on Genetic Programming, 181-192, 2013
Identification of Plasmodium vivax proteins with potential role in invasion using sequence redundancy reduction and profile hidden Markov models
D Restrepo-Montoya, D Becerra, JG Carvajal-Patiño, A Mongui, LF Niño, ...
PLoS One 6 (10), e25189, 2011
Fast and flexible design of novel proteins using graph neural networks
A Strokach, D Becerra, C Corbi-Verge, A Perez-Riba, PM Kim
BioRxiv, 868935, 2020
Adherencia al control prenatal en la clínica de gestantes adolescentes del Hospital de Engativá de Bogotá (tesis)
C Villacis, D Becerra, L Negrete
Bogotá: Universidad Nacional de Colombia, 1-65, 2012
An association rule based approach for biological sequence feature classification
D Becerra, D Vanegas, G Cantor, L Nino
2009 IEEE Congress on Evolutionary Computation, 3111-3118, 2009
Un modelo de asignación de recursos a rutas en el sistema de transporte masivo TransMilenio
S Duarte, D Becerra, LF Niño
Revista Avances en Sistemas e Informática 5 (1), 163-171, 2008
A parallel framework for multi-objective evolutionary optimization
D Dasgupta, D Becerra, A Banceanu, F Nino, J Simien
IEEE Congress on Evolutionary Computation, 1-8, 2010
An algorithm for Constrained LCS
D Becerra, W Soto, L Nino, Y Pinzón
ACS/IEEE International Conference on Computer Systems and Applications …, 2010
A Method to Calculate the Relative Binding Free Energy Differences of α-Helical Stapled Peptides
PA Valiente, D Becerra, PM Kim
The Journal of organic chemistry 85 (3), 1644-1651, 2020
On stable states in a topologically driven protein folding model
Z Dai, D Becerra, J Waldispühl
Journal of Computational Biology 24 (9), 851-862, 2017
A multiobjective optimization algorithm for the weighted LCS
D Becerra, J Mendivelso, Y Pinzón
Discrete Applied Mathematics 212, 37-47, 2016
A Multiobjective Approach to the Weighted Longest Common Subsequence Problem.
D Becerra, J Mendivelso, YJ Pinzón
Stringology, 64-74, 2012
Computational generation of proteins with predetermined three-dimensional shapes using ProteinSolver
A Strokach, D Becerra, C Corbi-Verge, A Perez-Riba, PM Kim
STAR protocols 2 (2), 100505, 2021
Fast and flexible coarse-grained prediction of protein folding routes using ensemble modeling and evolutionary sequence variation
D Becerra, A Butyaev, J Waldispühl
Bioinformatics 36 (5), 1420-1428, 2020
Designing real novel proteins using deep graph neural networks
A Strokach, D Becerra, C Corbi, A Perez-Riba, PM Kim
bioRxiv, 868935, 2019
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