Research Groups
Informatics
- Predictive Data Analytics
We focus on the development of Machine Learning and Artificial Intelligence methods for modeling problems in different areas of application such as bioinformatics, structural biology, biomedical sciences, smart agriculture, and others.
Research Lines
- Digital transformation of agroindustry sector.
- Prediction of molecular interactions based on structural and physicochemical features.
- Modeling extreme weather events affecting agricultural systems.
- Predictive models for plant diseases and stress based on climatic and phenological data.
- Yield and quality forecasting for fruit crops using environmental and phenological indicators.
Funding
- “THINKAGRO – Center for Technological Extensions in Intelligent Industries: Digitalization and Automation of the Chilean Agroindustrial Sector”. Funded by CORFO. (2018-2020). www.thinkagro.cl
- “Early warning and sectorized system of frost episodes: a tool to increase the competitiveness of agriculture in the Maule Region”. Funded by Maule Government (2017-2019).
- “Early prediction system for bull eye root disease in apples of the Cripps Pink variety”. Funded by Fondef (2017-2019)
- “Early warning system of frost episodes”. Funded by FIA (2015-2016).
- “Design of an apiculture mapping at Maule Region”. Funded by Maule Government (2013-2015)
- “Development of a mobile system for heat mapping generation for the optimization of agricultural irrigation”. Funded by FONDEF. 2013-2015.
Colaborations
- Dr. Mauricio Arenas, Department of Bioinformatics – Universidad de Talca
- Dr. Felipe Besoaín, Department of Bioinformatics – Universidad de Talca
- MSc. Alejandro Valdés, Department of Bioinformatics – Universidad de Talca
- Dr. Claudio Tenreiro, Faculty of Engineering – Universidad de Talca
- Dr. José Antonio Yuri, Director of Centro de Pomaceas – Universidad de Talca
- Dr. Mauricio Lolas, Director of Phytopathology Laboratory – Universidad de Talca
- Dr. Samuel Ortega, Director of CITRA – Universidad de Talca
Publications
- Renzo Angles, Mauricio Arenas, Roberto García, Jose Antonio Reyes-Suarez and Ehmke Pohl. GSP4PDB: A web tool to visualize, search and explore protein-ligand structural patterns. On press BMC Bioinformatics.
- Patricia Möller-Acuña, Roberto Ahumada-García, and José Reyes-Suárez. Machine Learning for Prediction of Frost Episodes in the Maule Region of Chile. UCAmI 2017, LNCS 10586, 2017.
- Roberto Ahumada-García, Patricia Möller-Acuña, and José Antonio Reyes-Suárez. An expert system for handling Phytosanitary Products in Chilean export fruit. IEEE Explorer, Octubre 2017.
- Patricia Möller-Acuña, Alejandro Valdés-Jimenéz, Roberto Ahumada-García, and José Antonio Reyes-Suárez. An information system for preventive alerting of frost episodes in the Central Region of Chile. IEEE Explorer, Octubre 2017.
- Patricia Möller-Acuña, Roberto Ahumada-García, and José Antonio Reyes-Suárez. An Information System for online Quality Control of Export Fruits. IEEE Explorer, Octubre 2017.
- Yetzabel González, Roberto Ahumada-García, Patricia Möller-Acuña, and José Antonio Reyes-Suárez. A system for online quality analysis for cherry harvest process inside the orchard. IEEE Explorer, Octubre 2017.
- B. Valdebenito-Maturana, J, Antonio Reyes-Suarez, J. Henriquez, D. S. Holmes, R. Quatrini, E. Pohl, M. Arenas-Salinas. “Mutantelec: An In Silico mutation simulation platform for comparative electrostatic potential profiling of proteins J. Comput. Chem. 2017, 38, 467–474
- P. Moller, R. Ahumada-García & J. Reyes-Suárez. “Prediction of frost episodes based in agrometeorological information and machine learning techniques”. IEEE International Conference on Automatica (ICA-ACCA) 2016.
- R. Ahumada-García, F. Besoain, C. Poblete-Echeverria & J. Reyes-Suárez. “Inference of foliar temperature profile of a vineyard using integrated sensors into a motorized vehicle”. IEEE International Conference on Automatica (ICA-ACCA) 2016.
- N. Grandón, R. Ahumada-Garciía, J. Reyes-Suárez & F. Besoaín. “Information system for improving local productivity and decision making in organic beekeeping”. IEEE International Conference on Automatica (ICA-ACCA) 2016.
- Besoain, Felipe and Perez-Navarro, Antoni and Ojeda, Felipe and Reyes-Suarez, Jose Antonio. “Promoting Healthy Nutrition Behavior Using Mobile Devices and Ubiquitous Computing”. Lecture Notes in Computer Science, 9455, 89-100 2015. Springer International Publishing.
- S.H. Park, J. Reyes, D.R. Gilbert, J.W. Kim, and S. Kim, “Prediction of protein-protein interaction types using association rule based classification.,” BMC Bioinformatics, vol. 10, Jan. 2009, p. 36.
- J. Reyes and D. Gilbert, “Combining One-Class Classification Models Based on Diverse Biological Data for Prediction of Protein-Protein Interactions,” Lecture Notes in Computer Science, vol. 5109, 2008, pp. 177-191.
- J. Reyes and D. Gilbert, “Prediction of protein-protein interactions using one-class classification methods and integrating diverse biological data,” Journal of Integrative Bioinformatics, vol. 4, 2007.
- Reyes J. A., Gilbert D., Girolami M. “Implementation of the Alternating Decision Trees Classification Algorithm in WEKA, for prediction of genetic regulatory response”. Personal Communication in the European Conference on Computational Biology (ECCB), 2005.
Participants
- José Antonio Reyes Suárez, PhD. (Head of group)
- Mauricio Arenas Salinas – Principal Investigator
- Felipe Besoaín Pino – Principal Investigator
- Paula Gajardo – Thinkagro Manager
- Susana Arredondo – Lead Extension Officer (Agronomic Engineer)
- Eduardo Poblete – IT Leader
- Camilo González – Operations & IT Officer
- Benjamín Sanzana – Digital Extension Officer
- Daniel Ortiz – Field Extension Officer (Agronomic Engineer)
- Mireya Vergara – Innovation Officer
- Patricia Poblete – Communications Officer
- Magna Espinoza – Financial Officer
- Ángela Astudillo – Administrative Officer
- Digital transformation of agroindustry sector.
- Prediction of molecular interactions based on structural and physicochemical features.
- Modeling extreme weather events affecting agricultural systems.
- Predictive models for plant diseases and stress based on climatic and phenological data.
- Yield and quality forecasting for fruit crops using environmental and phenological indicators.
Visit our Website
- Computational Biology Group (CBG)
Research Lines
- Software development
- Structural bioinformatics
- Polypharmacology
- Structured-based drug design
Funding
Fondecyt Research Regular Grant Nº 1170662. MULTISTERIC DRUGS: DESIGN OF POLYPHARMACOLOGICAL AGENTS THAT SIMULTANEOUSLY INTERACT WITH MONOAMINERGIC PROTEINS AND NICOTINIC RECEPTORS, BASED ON SIMILARITIES BETWEEN THEIR MULTIPLE BINDING SITES. Co-investigator.
Colaborations
- Pablo Moya, Centro Interdisciplinario de Neurociencia de Valparaíso (CINV), Valparaiso, Chile.
- Miguel Reyes-Parada, Facultad de Medicina, Universidad de Santiago de Chile, Santiago Chile.
- Dayan Lozano, Universidad Simón Bolivar, Barranquilla, Colombia.
- PhD Gonzalo Torres, Center for Addiction Research and Education, University of Florida, Gainesville, USA
- PhD Josep-L Larriba-Pey, DAMA-UPC, Universitat Politécnica de Catalunya BarcelonaTech, Spain
Participants
- Dr. Gabriel Núñez-Vivanco (Bioinformatics Engineer, PhD. in Biotechnology): Group leader
- Ms. Fabio Durán (Informatics Engineer, Ms. in Free Software): Researcher
- Ms. Alejandro Valdés Jiménez (Informatics Engineer, Ms. in Communication, Networks, and Content Management, Dr. (c) in Computer Architecture): Researcher
- Iñaki Hojas: Undergraduate thesis student
- Fabián Ramírez: Undergraduate thesis student
- Christofer Núñez: Undergraduate thesis student
- Software development
- Structural bioinformatics
- Polypharmacology
- Structured-based drug design
