QuBiLS-MIDAS: A parallel free-software for molecular descriptors computation based on multilinear algebraic maps. - César R. García-Jacas; Yovani Marrero-Ponce; Liesner Acevedo-Martínez; Stephen J. Barigye; José R. Valdés-Martiní; Ernesto Contreras-Torres (J. Comput. Chem., 2014)

Examining the predictive accuracy of the novel 3D N-linear algebraic molecular codifications on benchmark datasets. - César R. García-Jacas; Ernesto Contreras-Torres; Yovani Marrero-Ponce; Mario Pupo-Meriño; Stephen J. Barigye; Lisset Cabrera-Leyva (J. Cheminformatics, 2016)

Self-Scheduling for a Heterogeneous Distributed Platform. - Luis A. García-González; César R. García-Jacas; Liesner Acevedo-Martínez; Rafael A. Trujillo-Rasúa; Dirk Roose (PARCO, 2017)

Database fingerprint (DFP): an approach to represent molecular databases. - Eli Fernández-de Gortari; César R. García-Jacas; Karina Martínez-Mayorga; José L. Medina-Franco (J. Cheminformatics, 2017)

QuBiLS-MAS, open source multi-platform software for atom- and bond-based topological (2D) and chiral (2.5D) algebraic molecular descriptors computations. - 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 (J. Cheminformatics, 2017)

Choquet integral-based fuzzy molecular characterizations: when global definitions are computed from the dependency among atom/bond contributions (LOVIs/LOEIs). - César R. García-Jacas; Lisset Cabrera-Leyva; Yovani Marrero-Ponce; José Suárez-Lezcano; Fernando Cortés-Guzmán; Mario Pupo-Meriño; Ricardo Vivas-Reyes (J. Cheminformatics, 2018)

Smoothed Spherical Truncation based on Fuzzy Membership Functions: Application to the Molecular Encoding. - César R. García-Jacas; Yovani Marrero-Ponce; Carlos A. Brizuela; José Suárez-Lezcano; Felix Martinez-Rios (J. Comput. Chem., 2020)

Distributed and multicore QuBiLS-MIDAS software v2.0: Computing chiral, fuzzy, weighted and truncated geometrical molecular descriptors based on tensor algebra. - César R. García-Jacas; Yovani Marrero-Ponce; Ricardo Vivas-Reyes; José Suárez-Lezcano; Felix Martinez-Rios; Julio E. Terán; Longendri Aguilera-Mendoza (J. Comput. Chem., 2020)

MuLiMs-MCoMPAs: A Novel Multiplatform Framework to Compute Tensor Algebra-Based Three-Dimensional Protein Descriptors. - Ernesto Contreras-Torres; Yovani Marrero-Ponce; Julio E. Terán; César R. García-Jacas; Carlos A. Brizuela; Juan Carlos Sánchez-Rodríguez (J. Chem. Inf. Model., 2020)

μ𝜃 -EGF: A New Multi-Thread and Nature-Inspired Algorithm for the Packing Problem. - Felix Martinez-Rios; Jose Antonio Marmolejo Saucedo; César R. García-Jacas; Alfonso Murillo-Suarez (Mob. Networks Appl., 2020)

Alignment-Free Antimicrobial Peptide Predictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set. - Sergio Alejandro Pinacho-Castellanos; César R. García-Jacas; Michael K. Gilson; Carlos A. Brizuela (J. Chem. Inf. Model., 2021)

Correction to Alignment-Free Antimicrobial Peptide Predictors: Improving Performance by a Thorough Analysis of the Largest Available Data Set. - Sergio Alejandro Pinacho-Castellanos; César R. García-Jacas; Michael K. Gilson; Carlos A. Brizuela (J. Chem. Inf. Model., 2021)

Handcrafted versus non-handcrafted (self-supervised) features for the classification of antimicrobial peptides: complementary or redundant? - César R. García-Jacas; Luis A. García-González; Felix Martinez-Rios; Issac P. Tapia-Contreras; Carlos A. Brizuela (Briefings Bioinform., 2022)

Do deep learning models make a difference in the identification of antimicrobial peptides? - César R. García-Jacas; Sergio Alejandro Pinacho-Castellanos; Luis A. García-González; Carlos A. Brizuela (Briefings Bioinform., 2022)

StarPep Toolbox: an open-source software to assist chemical space analysis of bioactive peptides and their functions using complex networks. - Longendri Aguilera-Mendoza; Sebastián Ayala-Ruano; Felix Martinez-Rios; Edgar Chávez; César R. García-Jacas; Carlos A. Brizuela; Yovani Marrero-Ponce (Bioinform., 2023)

Predicting Antimicrobial Peptides Using ESMFold-Predicted Structures and ESM-2-Based Amino Acid Features with Graph Deep Learning. - Greneter Cordoves-Delgado; César R. García-Jacas (J. Chem. Inf. Model., 2024)

Optimal Descriptor Subset Search via Chemical Information and Target Activity-Guided Algorithm for Antimicrobial Peptide Prediction. - Luis A. García-González; Yovani Marrero-Ponce; César R. García-Jacas; Sergio A. Aguila Puentes (J. Chem. Inf. Model., 2025)