List of works - Michael Fernandez

2D Autocorrelation modeling of the negative inotropic activity of calcium entry blockers using Bayesian-regularized genetic neural networks.

scientific article published on 26 January 2006

2D Autocorrelation, CoMFA, and CoMSIA modeling of protein tyrosine kinases' inhibition by substituted pyrido[2,3-d]pyrimidine derivatives.

scientific article published on 13 October 2007

2D autocorrelation modelling of the inhibitory activity of cytokinin-derived cyclin-dependent kinase inhibitors.

scientific article published on 7 April 2006

A CoMSIA study on the adenosine kinase inhibition of pyrrolo[2,3-d]pyrimidine nucleoside analogues.

scientific article

Analysis of Aurora kinase A expression in CD34(+) blast cells isolated from patients with myelodysplastic syndromes and acute myeloid leukemia

scientific article

Artificial neural network analysis of the catalytic efficiency of platinum nanoparticles

scholarly article by Michael Fernandez et al published 2017 in RSC Advances

Artificial neural networks from MATLAB in medicinal chemistry. Bayesian-regularized genetic neural networks (BRGNN): application to the prediction of the antagonistic activity against human platelet thrombin receptor (PAR-1).

scientific article published in January 2008

Bayesian-regularized genetic neural networks applied to the modeling of non-peptide antagonists for the human luteinizing hormone-releasing hormone receptor.

scientific article published on 28 February 2006

Docking and quantitative structure-activity relationship studies for sulfonyl hydrazides as inhibitors of cytosolic human branched-chain amino acid aminotransferase

scientific article published on 07 April 2009

Effects of beta-cyclodextrin-dextran polymer on stability properties of trypsin

scientific article published on 01 September 2003

Genetic neural network modeling of the selective inhibition of the intermediate-conductance Ca2+ -activated K+ channel by some triarylmethanes using topological charge indexes descriptors.

scientific article published in November 2005

Genome-wide enhancer prediction from epigenetic signatures using genetic algorithm-optimized support vector machines.

scientific article

Geometrical Properties Can Predict CO2 and N2 Adsorption Performance of Metal-Organic Frameworks (MOFs) at Low Pressure

scientific article

Geometrical features can predict electronic properties of graphene nanoflakes

scholarly article in Carbon, vol. 103, July 2016

HDM4 (HDMX) is widely expressed in adult pre-B acute lymphoblastic leukemia and is a potential therapeutic target

scientific article published on 24 November 2006

Identification of Nanoparticle Prototypes and Archetypes

scientific article published on 17 November 2015

Impact of distributions on the archetypes and prototypes in heterogeneous nanoparticle ensembles.

scientific article published on 19 December 2016

Linear and nonlinear QSAR study of N-hydroxy-2-[(phenylsulfonyl)amino]acetamide derivatives as matrix metalloproteinase inhibitors.

scientific article published on 28 February 2006

Linear and nonlinear modeling of antifungal activity of some heterocyclic ring derivatives using multiple linear regression and Bayesian-regularized neural networks.

scientific article published on 21 October 2005

Machine learning and genetic algorithm prediction of energy differences between electronic calculations of graphene nanoflakes

scientific article

Modeling corrosion inhibition efficacy of small organic molecules as non-toxic chromate alternatives using comparative molecular surface analysis (CoMSA).

scientific article published on 27 June 2016

Modeling of cyclin-dependent kinase inhibition by 1H-pyrazolo[3,4-d]pyrimidine derivatives using artificial neural network ensembles.

scientific article published in November 2005

Modeling of farnesyltransferase inhibition by some thiol and non-thiol peptidomimetic inhibitors using genetic neural networks and RDF approaches.

scientific article published on 26 September 2005

Prediction of dinucleotide-specific RNA-binding sites in proteins

scientific article

Proteochemometric recognition of stable kinase inhibition complexes using topological autocorrelation and support vector machines

scientific article published in June 2010

QSAR Accelerated Discovery of Potent Ice Recrystallization Inhibitors.

scientific article

QSAR modeling of matrix metalloproteinase inhibition by N-hydroxy-alpha-phenylsulfonylacetamide derivatives.

scientific article published on 10 June 2007

Quantitative Structure-Property Relationship Modeling of Electronic Properties of Graphene Using Atomic Radial Distribution Function Scores

scientific article

Quantitative Structure–Activity Relationship of Organosulphur Compounds as Soybean 15‐Lipoxygenase Inhibitors Using CoMFA and CoMSIA ⬇️

scientific article published on October 11, 2010

Quantitative Structure–Price Relationship (QS$R) Modeling and the Development of Economically Feasible Drug Discovery Projects

scientific article published on 28 February 2019

Quantitative structure-activity relationship modeling of growth hormone secretagogues agonist activity of some tetrahydroisoquinoline 1-carboxamides.

scientific article published in January 2007

Quantitative structure-activity relationship of rubiscolin analogues as delta opioid peptides using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA).

scientific article

Quantitative structure-activity relationship to predict differential inhibition of aldose reductase by flavonoid compounds

scientific article published on 01 May 2005

Rapid and Accurate Machine Learning Recognition of High Performing Metal Organic Frameworks for CO2 Capture.

scientific article published on 25 August 2014

Recognition of drug-target interaction patterns using genetic algorithm-optimized Bayesian-regularized neural networks and support vector machines

Small molecule-induced degradation of the full length and V7 truncated variant forms of human androgen receptor

scientific article published on 24 August 2018

Statistics, damned statistics and nanoscience – using data science to meet the challenge of nanomaterial complexity

scientific article published on 05 February 2016

The Addition of All-Trans Retinoic Acid to Chemotherapy May Not Improve the Outcome of Patient with NPM1 Mutated Acute Myeloid Leukemia

scientific article published on 6 September 2013

Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images

scientific article published on 15 August 2018

Transglutaminase-catalyzed synthesis of trypsin-cyclodextrin conjugates: kinetics and stability properties.

scientific article published in March 2003

List of works by Michael Fernandez

2D Autocorrelation modeling of the negative inotropic activity of calcium entry blockers using Bayesian-regularized genetic neural networks.

2D Autocorrelation, CoMFA, and CoMSIA modeling of protein tyrosine kinases' inhibition by substituted pyrido[2,3-d]pyrimidine derivatives.

2D autocorrelation modelling of the inhibitory activity of cytokinin-derived cyclin-dependent kinase inhibitors.

A CoMSIA study on the adenosine kinase inhibition of pyrrolo[2,3-d]pyrimidine nucleoside analogues.

Analysis of Aurora kinase A expression in CD34(+) blast cells isolated from patients with myelodysplastic syndromes and acute myeloid leukemia

Artificial neural network analysis of the catalytic efficiency of platinum nanoparticles

Artificial neural networks from MATLAB in medicinal chemistry. Bayesian-regularized genetic neural networks (BRGNN): application to the prediction of the antagonistic activity against human platelet thrombin receptor (PAR-1).

Bayesian-regularized genetic neural networks applied to the modeling of non-peptide antagonists for the human luteinizing hormone-releasing hormone receptor.

Docking and quantitative structure-activity relationship studies for sulfonyl hydrazides as inhibitors of cytosolic human branched-chain amino acid aminotransferase

Effects of beta-cyclodextrin-dextran polymer on stability properties of trypsin

Genetic neural network modeling of the selective inhibition of the intermediate-conductance Ca2+ -activated K+ channel by some triarylmethanes using topological charge indexes descriptors.

Genome-wide enhancer prediction from epigenetic signatures using genetic algorithm-optimized support vector machines.

Geometrical Properties Can Predict CO2 and N2 Adsorption Performance of Metal-Organic Frameworks (MOFs) at Low Pressure

Geometrical features can predict electronic properties of graphene nanoflakes

HDM4 (HDMX) is widely expressed in adult pre-B acute lymphoblastic leukemia and is a potential therapeutic target

Identification of Nanoparticle Prototypes and Archetypes

Impact of distributions on the archetypes and prototypes in heterogeneous nanoparticle ensembles.

Linear and nonlinear QSAR study of N-hydroxy-2-[(phenylsulfonyl)amino]acetamide derivatives as matrix metalloproteinase inhibitors.

Linear and nonlinear modeling of antifungal activity of some heterocyclic ring derivatives using multiple linear regression and Bayesian-regularized neural networks.

Machine learning and genetic algorithm prediction of energy differences between electronic calculations of graphene nanoflakes

Modeling corrosion inhibition efficacy of small organic molecules as non-toxic chromate alternatives using comparative molecular surface analysis (CoMSA).

Modeling of cyclin-dependent kinase inhibition by 1H-pyrazolo[3,4-d]pyrimidine derivatives using artificial neural network ensembles.

Modeling of farnesyltransferase inhibition by some thiol and non-thiol peptidomimetic inhibitors using genetic neural networks and RDF approaches.

Prediction of dinucleotide-specific RNA-binding sites in proteins

Proteochemometric recognition of stable kinase inhibition complexes using topological autocorrelation and support vector machines

QSAR Accelerated Discovery of Potent Ice Recrystallization Inhibitors.

QSAR modeling of matrix metalloproteinase inhibition by N-hydroxy-alpha-phenylsulfonylacetamide derivatives.

Quantitative Structure-Property Relationship Modeling of Electronic Properties of Graphene Using Atomic Radial Distribution Function Scores

Quantitative Structure–Activity Relationship of Organosulphur Compounds as Soybean 15‐Lipoxygenase Inhibitors Using CoMFA and CoMSIA ⬇️

Quantitative Structure–Price Relationship (QS$R) Modeling and the Development of Economically Feasible Drug Discovery Projects

Quantitative structure-activity relationship modeling of growth hormone secretagogues agonist activity of some tetrahydroisoquinoline 1-carboxamides.

Quantitative structure-activity relationship of rubiscolin analogues as delta opioid peptides using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA).

Quantitative structure-activity relationship to predict differential inhibition of aldose reductase by flavonoid compounds

Rapid and Accurate Machine Learning Recognition of High Performing Metal Organic Frameworks for CO2 Capture.

Recognition of drug-target interaction patterns using genetic algorithm-optimized Bayesian-regularized neural networks and support vector machines

Small molecule-induced degradation of the full length and V7 truncated variant forms of human androgen receptor

Statistics, damned statistics and nanoscience – using data science to meet the challenge of nanomaterial complexity

The Addition of All-Trans Retinoic Acid to Chemotherapy May Not Improve the Outcome of Patient with NPM1 Mutated Acute Myeloid Leukemia

Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images

Transglutaminase-catalyzed synthesis of trypsin-cyclodextrin conjugates: kinetics and stability properties.