Michael Fernandez
people.csiro.au
0000-0003-2273-733X
DATA61 CSIRO
68 papers found
Refreshing results…
Modeling of lattice parameters of the and phases of the superalloys with base nickel by using a multiple linear regression analysis
Recognition of Drug-Target Interaction Patterns using Genetic Algorithm-optimized Bayesian-regularized Neural Networks and Support Vector Machines
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)
Proteometric modelling of protein conformational stability using amino acid sequence autocorrelation vectors and genetic algorithm-optimised support vector machines
Modeling of the Inhibition of the Intermediate‐Conductance Ca2+‐Activated K+Channel (IKCa1) by Some Triarylmethanes Using Quantum Chemical Properties Derived FromAb InitioCalculations
Proteochemometric Modeling of the Inhibition Complexes of Matrix Metalloproteinases withN-Hydroxy-2-[(Phenylsulfonyl)Amino]Acetamide Derivatives Using Topological Autocorrelation Interaction Matrix and Model Ensemble Averaging
Classification of voltage-gated K+ ion channels from 3D pseudo-folding graph representation of protein sequences using genetic algorithm-optimized support vector machines
Structural requirements of pyrido[2,3-d]pyrimidin-7-one as CDK4/D inhibitors: 2D autocorrelation, CoMFA and CoMSIA analyses
A CoMSIA study on the adenosine kinase inhibition of pyrrolo[2,3-d]pyrimidine nucleoside analogues
2D Autocorrelation, CoMFA, and CoMSIA modeling of protein tyrosine kinases’ inhibition by substituted pyrido[2,3-d]pyrimidine derivatives
Protein radial distribution function (P-RDF) and Bayesian-Regularized Genetic Neural Networks for modeling protein conformational stability: Chymotrypsin inhibitor 2 mutants
Comparative modeling of the conformational stability of chymotrypsin inhibitor 2 protein mutants using amino acid sequence autocorrelation (AASA) and amino acid 3D autocorrelation (AA3DA) vectors and ensembles of Bayesian-regularized genetic neural networks
Quantitative Structure–Activity Relationship of Rubiscolin Analogues as δ Opioid Peptides Using Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA)
QSAR modeling of matrix metalloproteinase inhibition by N-hydroxy-a-phenylsulfonylacetamide derivatives
Classification of conformational stability of protein mutants from 2D graph representation of protein sequences using support vector machines
Classification of conformational stability of protein mutants from 3D pseudo-folding graph representation of protein sequences using support vector machines
Analysis of protegrin structure–activity relationships: the structural characteristics important for antimicrobial activity using smoothed amino acid sequence descriptors
Proteometric study of ghrelin receptor function variations upon mutations using amino acid sequence autocorrelation vectors and genetic algorithm-based least square support vector machines
QSAR analysis for heterocyclic antifungals
Amino acid sequence autocorrelation vectors and Bayesian-regularized genetic neural networks for modeling protein conformational stability: Gene V protein mutants
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