César R. García-Jacas

16 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Optimal Descriptor Subset Search via Chemical Information and Target Activity-Guided Algorithm for Antimicrobial Peptide Prediction.
J. Chem. Inf. Model.
Luis A. García-González, Yovani Marrero-Ponce, César R. García-Jacas, Sergio A. Aguila Puentes
2024 J jnl
Predicting Antimicrobial Peptides Using ESMFold-Predicted Structures and ESM-2-Based Amino Acid Features with Graph Deep Learning.
J. Chem. Inf. Model.
Greneter Cordoves-Delgado, César R. García-Jacas
2022 J jnl
Do deep learning models make a difference in the identification of antimicrobial peptides?
Briefings Bioinform.
César R. García-Jacas, Sergio Alejandro Pinacho-Castellanos, Luis A. García-González, Carlos A. Brizuela
2022 J jnl
Handcrafted versus non-handcrafted (self-supervised) features for the classification of antimicrobial peptides: complementary or redundant?
Briefings Bioinform.
César R. García-Jacas, Luis A. García-González, Félix Martínez-Ríos, Issac P. Tapia-Contreras, Carlos A. Brizuela
2021 J jnl
Alignment-Free Antimicrobial Peptide Predictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set.
J. Chem. Inf. Model.
Sergio Alejandro Pinacho-Castellanos, César R. García-Jacas, Michael K. Gilson, Carlos A. Brizuela
2021 J jnl
Correction to Alignment-Free Antimicrobial Peptide Predictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set.
J. Chem. Inf. Model.
Sergio Alejandro Pinacho-Castellanos, César R. García-Jacas, Michael K. Gilson, Carlos A. Brizuela
2020 J jnl
Distributed and multicore QuBiLS-MIDAS software v2.0: Computing chiral, fuzzy, weighted and truncated geometrical molecular descriptors based on tensor algebra.
J. Comput. Chem.
César R. García-Jacas, Yovani Marrero-Ponce, Ricardo Vivas-Reyes, José Suárez-Lezcano, Félix Martínez-Ríos, Julio E. Terán, Longendri Aguilera-Mendoza
2020 J jnl
MuLiMs-MCoMPAs: A Novel Multiplatform Framework to Compute Tensor Algebra-Based Three-Dimensional Protein Descriptors.
J. Chem. Inf. Model.
Ernesto Contreras-Torres, Yovani Marrero-Ponce, Julio E. Terán, César R. García-Jacas, Carlos A. Brizuela, Juan Carlos Sánchez-Rodríguez
2020 J jnl
Smoothed Spherical Truncation based on Fuzzy Membership Functions: Application to the Molecular Encoding.
J. Comput. Chem.
César R. García-Jacas, Yovani Marrero-Ponce, Carlos A. Brizuela, José Suárez-Lezcano, Félix Martínez-Ríos
2020 J jnl
μ𝜃 -EGF: A New Multi-Thread and Nature-Inspired Algorithm for the Packing Problem.
Mob. Networks Appl.
Félix Martínez-Ríos, Jose Antonio Marmolejo Saucedo, César R. García-Jacas, Alfonso Murillo-Suarez
2018 J jnl
Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs).
J. Cheminformatics
César R. García-Jacas, Lisset Cabrera-Leyva, Yovani Marrero-Ponce, José Suárez-Lezcano, Fernando Cortés-Guzmán, Mario Pupo-Meriño, Ricardo Vivas-Reyes
2017 J jnl
Database fingerprint (DFP): an approach to represent molecular databases.
J. Cheminformatics
Eli Fernández-de Gortari, César R. García-Jacas, Karina Martínez-Mayorga, José L. Medina-Franco
2017 J jnl
QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations.
J. Cheminformatics
José R. Valdés-Martiní, Yovani Marrero-Ponce, César R. García-Jacas, Karina Martínez-Mayorga, Stephen J. Barigye, Yasser Silveira Vaz d'Almeida, Hai Pham-The, Facundo Pérez-Giménez, Carlos A. Morell
2017 — conf
Self-Scheduling for a Heterogeneous Distributed Platform.
PARCO
Luis A. García-González, César R. García-Jacas, Liesner Acevedo-Martínez, Rafael A. Trujillo-Rasúa, Dirk Roose
2016 J jnl
Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets.
J. Cheminformatics
César R. García-Jacas, Ernesto Contreras-Torres, Yovani Marrero-Ponce, Mario Pupo-Meriño, Stephen J. Barigye, Lisset Cabrera-Leyva
2014 J jnl
QuBiLS-MIDAS: A parallel free-software for molecular descriptors computation based on multilinear algebraic maps.
J. Comput. Chem.
César R. García-Jacas, Yovani Marrero-Ponce, Liesner Acevedo-Martínez, Stephen J. Barigye, José R. Valdés-Martiní, Ernesto Contreras-Torres