Man

Juan Alberto Castillo Garit

Academico/ Profesor Titular

Universidad Tecnológica Metroplitana

Santiago de Chile, Chile

Líneas de Investigación


Modelación Molecular y Diseño de Fármacos, Quimio-informática, Desarrollo de modelos computacionales empleando Inteligencia artificial y/o Machine learning, Predicciones ecotoxicológicas

Educación

  •  Quimico-Farmaceutico, Universidad Central ¨Marta Abreu¨de Las Villas, Cuba. Cuba, 2008

Experiencia Académica

  •   Academico/Profesor Titular Full Time

    Universidad de Ciencias Médicas de Villa Clara

    Santa Clara, Cuba

    2021 - 2023

  •   Academico/Profesor Asociado Full Time

    Universidad de Ciencias Médicas de Villa Clara

    Santa Clara, Cuba

    2016 - 2021

  •   Academico/Profesor Asociado Full Time

    Universidad Central Marta Abreu de las Villas

    Quimica-Farmacia

    Santa Clara, Chile

    2008 - 2015

  •   Academico/Profesor Asistente Full Time

    Universidad Central Marta Abreu de las Villas

    Quimica-Farmacia

    Santa Clara, Chile

    2003 - 2008

  •   Academico/Profesor Titular Full Time

    Universidad Tecnológica Metropolitana

    Instituto Universitario de Investigación y Desarrollo Tecnológic

    Santiago, Chile

    2023 - A la fecha

Experiencia Profesional

  •   Adiestrado Full Time

    Banco de Sangre Provincial de Villa Clara

    Santa Clara, Cuba

    2001 - 2003

  •   Academico/Profesor Asistente Full Time

    Universidad Central Marta Abreu de las Villas

    Santa Clara, Chile

    2003 - 2008

  •   Academico/Profesor Asociado Full Time

    Universidad Central Marta Abreu de las Villas

    Santa Clara, Chile

    2008 - 2015

  •   Academico/Profesor Asociado Full Time

    Universidad de Ciencias Médicas de Villa Clara

    Santa Clara, Chile

    2016 - 2021

  •   Academico/Profesor Titular Full Time

    Universidad de Ciencias Médicas de Villa Clara

    Santa Clara, Cuba

    2021 - 2023

  •   Academico/Profesor Titular Full Time

    Universidad Tecnológica Metropolitana

    Santiago, Chile

    2023 - A la fecha


 

Article (42)

Exploring blood-brain barrier passage using atomic weighted vector and machine learning
Exploring proteasome inhibition using atomic weighted vector indices and machine learning approaches
Ligand and structure-based discovery of phosphorus-containing compounds as potential metalloproteinase inhibitors
Ligand-based discovery of new potential acetylcholinesterase inhibitors for Alzheimer's disease treatment
Virtual screening of flavonoids from <i>Jatropha gossypiifolia</i> L. as potential drugs for diabetic complications
Computational identification of chemical compounds with potential anti-Chagas activity using a classification tree
Computational Modeling of Aldose Reductase Inhibitory Activity of Flavonoids Derivatives for Diabetic Complications Treatment
Evolutionary algorithm-based generation of optimum peptide sequences with dengue virus inhibitory activity
Machine learning approach to discovery of small molecules with potential inhibitory action against vasoactive metalloproteases
Computational approach to the discovery of potential neprilysin inhibitors compounds for cardiovascular diseases treatment
Thorough evaluation of OECD principles in modelling of 1-[(2-hydroxyethoxy)methyl]-6-(phenylthio)thymine derivatives using QSARINS
Undersampling: case studies of flaviviral inhibitory activities
Atom based linear index descriptors in QSAR-machine learning classifiers for the prediction of ubiquitin-proteasome pathway activity
Discrete Fourier Transform-Based Multivariate Image Analysis: Application to Modeling of Aromatase Inhibitory Activity
<i>Dry</i> selection and <i>wet</i> evaluation for the <i>rational</i> discovery of new anthelmintics
A Simple Method to Predict Blood-Brain Barrier Permeability of Drug-Like Compounds Using Classification Trees
Machine learning-based models to predict modes of toxic action of phenols to <i>Tetrahymena pyriformis</i>
Prediction of aquatic toxicity of benzene derivatives using molecular descriptor from atomic weighted vectors
An approach to identify new antihypertensive agents using Thermolysin as model: In silico study based on QSARINS and docking
Prediction of acute toxicity of phenol derivatives using multiple linear regression approach for <i>Tetrahymena pyriformis</i> contaminant identification in a median-size database
Prediction of Caco-2 Cell Permeability Using Bilinear Indices and Multiple Linear Regression
<i>In silico</i> Antibacterial Activity Modeling Based on the TOMOCOMD-CARDD Approach
Bond-based bilinear indices for computational discovery of novel trypanosomicidal drug-like compounds through virtual screening
Analysis of Proteasome Inhibition Prediction Using Atom-Based Quadratic Indices Enhanced by Machine Learning Classification Techniques
Comparative study to predict toxic modes of action of phenols from molecular structures
Identification In Silico and In Vitro of Novel Trypanosomicidal Drug-Like Compounds
Ligand-based discovery of novel trypanosomicidal drug-like compounds: <i>In silico</i> identification and experimental support
Bond-based linear indices of the non-stochastic and stochastic edge-adjacency matrix. 1. Theory and modeling of ChemPhys properties of organic molecules
Computational discovery of novel trypanosomicidal drug-like chemicals by using bond-based non-stochastic and stochastic quadratic maps and linear discriminant analysis
Applications of Bond-Based 3D-Chiral Quadratic Indices in QSAR Studies Related to Central Chirality Codification
A novel approach to predict aquatic toxicity from molecular structure
Atom-based non-stochastic and stochastic bilinear indices:: Application to QSPR/QSAR studies of organic compounds
Estimation of ADME properties in drug discovery:: Predicting Caco-2 cell permeability using atom-based stochastic and non-stochastic linear indices
Atom-based stochastic and non-stochastic 3D-chiral bilinear indices and their applications to central chirality codification
Atom-based 3D-chiral quadratic indices. Part 2: Prediction of the corticosteroid-binding globulin binding affinity of the 31 benchmark steroids data set
3D-chiral atom, atom-type, and total non-stochastic and stochastic molecular linear indices and their applications to central chirality codification
Atom, atom-type and total molecular linear indices as a promising approach for bioorganic and medicinal chemistry:: theoretical and experimental assessment of a novel method for virtual screening and rational design of new lead anthelmintic
Linear indices of the 'macromolecular graph's nucleotides adjacency matrix as a promising approach or bioinformatics studies.: Part 1:: Prediction of paromomycin's affinity constant with HIV-1 ψ-RNA packaging region
Protein linear indices of the 'macromolecular pseudograph α-carbon atom adjacency matrix' in bioinformatics.: Part 1:: Prediction of protein stability effects of a complete set of alanine substitutions in Arc repressor
<i>TOMOCOMD-CARDD</i>, a novel approach for computer-aided 'rational' drug design:: I.: Theoretical and experimental assessment of a promising method for computational screening and in silico design of new anthelmintic compounds
Atom, atom-type, and total linear indices of the "molecular pseudograph's atom adjacency matrix": Application to QSPR/QSAR studies of organic compounds
Markovian chemicals 'in silico' design (MARCH-INSIDE), a promising approach for computer-aided molecular design I:: discovery of anticancer compounds

Review (10)

A Review of Computational Approaches Targeting SARS-CoV-2 Main Protease to the Discovery of New Potential Antiviral Compounds
<i>In Silico</i> Assessment of ADME Properties: Advances in Caco-2 Cell Monolayer Permeability Modeling
Computational Identification of Chemical Compounds with Potential Activity against <i>Leishmania amazonensis</i> using Nonlinear Machine Learning Techniques
Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry
State of the Art Review and Report of New Tool for Drug Discovery
Prediction of Aquatic Toxicity of Benzene Derivatives to <i>Tetrahymena pyriformis</i> According to OECD Principles
Tyrosinase Enzyme: 1. An Overview on a Pharmacological Target
3D-chiral (2.5) atom-based <i>TOMOCOMD-CARDD</i> descriptors:: theory and QSAR applications to central chirality codification
Bond-Based 3D-Chiral Linear Indices: Theory and QSAR Applications to Central Chirality Codification
Predicting antitrichomonal activity:: A computational screening using atom-based bilinear indices and experimental proofs
1
Desmond MacLeod-Carey

Associate Professor

Facultad de Ingeniería

Universidad Autónoma de Chile

Santiago, Chile

1
Karel Mena

Profesor Asociado

Ciencias Biológicas y Químicas

Universidad Católica de Temuco

Temuco, Chile

1
Erix Hernández

Full Professor/Departamento de Medicina Traslacional, Académico-Investigador

Departamento de Medicina Traslacional

Universidad Católica del Maule

Talca, Chile

1
Yunier Perera

Profesor Conferenciente

Ciencias Básicas Biomédicas

Universidad de Talca

Talca, Chile

1
Roberto Díaz

Academico-Investigador

Medicina Traslacional

Universidad Católica del Maule

Talca, Chile

52
Juan Castillo

Academico/ Profesor Titular

Universidad Tecnológica Metroplitana

Santiago de Chile, Chile