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Carlos A Brizuela

Showing results (1-10 of 26) with videos related to

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Journal of Chemical Information and Modeling|January 26, 2018
Scoring of Side-Chain Packings: An Analysis of Weight Factors and Molecular Dynamics StructuresJose Colbes, Sergio A Aguila, Carlos A Brizuela
BMC Genomics|September 27, 2018
Optimal selection of molecular descriptors for antimicrobial peptides classification: an evolutionary feature weighting approachJesus A Beltran, Longendri Aguilera-Mendoza, Carlos A Brizuela
Molecular Informatics|September 6, 2023
Cell-penetrating peptides predictors: A comparative analysis of methods and datasetsKaren Guerrero-Vázquez, Gabriel Del Rio, Carlos A Brizuela
Computational and Structural Biotechnology Journal|March 18, 2020
An automatic representation of peptides for effective antimicrobial activity classificationJesus A Beltran, Gabriel Del Rio, Carlos A Brizuela
Bioscience Reports|September 2, 2022
Antimicrobial peptides with cell-penetrating activity as prophylactic and treatment drugsGabriel Del Rio, Mario A Trejo Perez, Carlos A Brizuela
Plos One|October 1, 2014
A simple extension to the CMASA method for the prediction of catalytic residues in the presence of single point mutationsDavid I Flores, Rogerio R Sotelo-Mundo, Carlos A Brizuela
Briefings in Bioinformatics|August 28, 2016
Protein side-chain packing problem: is there still room for improvement?José Colbes, Rosario I Corona, Christian Lezcano, et al.
Molecules (Basel, Switzerland)|October 10, 2017
Systematic Identification of Machine-Learning Models Aimed to Classify Critical Residues for Protein Function from Protein StructureRicardo Corral-Corral, Jesús A Beltrán, Carlos A Brizuela, et al.
Journal of Chemical Information and Modeling|October 15, 2021
Improving Structure-Based Virtual Screening with Ensemble Docking and Machine LearningJoel Ricci-Lopez, Sergio A Aguila, Michael K Gilson, et al.
Microbial Biotechnology|January 4, 2025
AI Methods for Antimicrobial Peptides: Progress and ChallengesCarlos A Brizuela, Gary Liu, Jonathan M Stokes, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Journal of Chemical Information and Modeling|January 26, 2018
Scoring of Side-Chain Packings: An Analysis of Weight Factors and Molecular Dynamics StructuresJose Colbes, Sergio A Aguila, Carlos A Brizuela
BMC Genomics|September 27, 2018
Optimal selection of molecular descriptors for antimicrobial peptides classification: an evolutionary feature weighting approachJesus A Beltran, Longendri Aguilera-Mendoza, Carlos A Brizuela
Molecular Informatics|September 6, 2023
Cell-penetrating peptides predictors: A comparative analysis of methods and datasetsKaren Guerrero-Vázquez, Gabriel Del Rio, Carlos A Brizuela
Computational and Structural Biotechnology Journal|March 18, 2020
An automatic representation of peptides for effective antimicrobial activity classificationJesus A Beltran, Gabriel Del Rio, Carlos A Brizuela
Bioscience Reports|September 2, 2022
Antimicrobial peptides with cell-penetrating activity as prophylactic and treatment drugsGabriel Del Rio, Mario A Trejo Perez, Carlos A Brizuela
Plos One|October 1, 2014
A simple extension to the CMASA method for the prediction of catalytic residues in the presence of single point mutationsDavid I Flores, Rogerio R Sotelo-Mundo, Carlos A Brizuela
Briefings in Bioinformatics|August 28, 2016
Protein side-chain packing problem: is there still room for improvement?José Colbes, Rosario I Corona, Christian Lezcano, et al.
Molecules (Basel, Switzerland)|October 10, 2017
Systematic Identification of Machine-Learning Models Aimed to Classify Critical Residues for Protein Function from Protein StructureRicardo Corral-Corral, Jesús A Beltrán, Carlos A Brizuela, et al.
Journal of Chemical Information and Modeling|October 15, 2021
Improving Structure-Based Virtual Screening with Ensemble Docking and Machine LearningJoel Ricci-Lopez, Sergio A Aguila, Michael K Gilson, et al.
Microbial Biotechnology|January 4, 2025
AI Methods for Antimicrobial Peptides: Progress and ChallengesCarlos A Brizuela, Gary Liu, Jonathan M Stokes, et al.
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