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Manuel A. Patarroyo
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Journal Articles
- 2021
- [j5]Carlos A. Ortiz-Mahecha, William A. Agudelo, Manuel A. Patarroyo, Manuel-Elkin Patarroyo, Carlos F. Suárez:
MHCBI: a pipeline for calculating peptide-MHC binding energy using semi-empirical quantum mechanical methods with explicit/implicit solvent models. Briefings Bioinform. 22(6) (2021) - 2019
- [j4]Carlos A. Ortiz-Mahecha, Hugo-Javier Bohórquez, William A. Agudelo, Manuel A. Patarroyo, Manuel-Elkin Patarroyo, Carlos F. Suárez:
Assessing Peptide Binding to MHC II: An Accurate Semiempirical Quantum Mechanics Based Proposal. J. Chem. Inf. Model. 59(12): 5148-5160 (2019) - 2011
- [j3]Daniel Restrepo-Montoya, Camilo Pino, Luis F. Niño, Manuel-Elkin Patarroyo, Manuel A. Patarroyo:
NClassG+: A classifier for non-classically secreted Gram-positive bacterial proteins. BMC Bioinform. 12: 21 (2011) - 2010
- [j2]Carolina Vizcaíno, Daniel Restrepo-Montoya, Diana Rodríguez, Luis F. Niño, Marisol Ocampo, Magnolia Vanegas, María T. Reguero, Nora L. Martínez, Manuel-Elkin Patarroyo, Manuel A. Patarroyo:
Computational Prediction and Experimental Assessment of Secreted/Surface Proteins from Mycobacterium tuberculosis H37Rv. PLoS Comput. Biol. 6(6) (2010) - 2009
- [j1]Daniel Restrepo-Montoya, Carolina Vizcaíno, Luis F. Niño, Marisol Ocampo, Manuel-Elkin Patarroyo, Manuel A. Patarroyo:
Validating subcellular localization prediction tools with mycobacterial proteins. BMC Bioinform. 10 (2009)
Conference and Workshop Papers
- 2007
- [c2]Leonardo Bobadilla, Fernando Niño, Edilberto Cepeda, Manuel A. Patarroyo:
Characterizing and Predicting Catalytic Residues in Enzyme Active Sites Based on Local Properties: A Machine Learning Approach. BIBE 2007: 938-945 - [c1]Leonardo Bobadilla, Fernando Niño, Edilberto Cepeda, Manuel A. Patarroyo:
A Novel Methodology for Characterizing and Predicting Protein Functional Sites. BIBM 2007: 349-354
Coauthor Index
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