Lista de obras - Cristian R. Munteanu - Dominio Público Uruguay

3D entropy and moments prediction of enzyme classes and experimental-theoretic study of peptide fingerprints in Leishmania parasites

artículo científico publicado en 2009

A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing

artículo científico publicado en 2020

A methodology for the design of experiments in computational intelligence with multiple regression models

artículo científico publicado en 2016

ANN multiscale model of anti-HIV drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks

artículo científico publicado en 2014

Accurate intermolecular ground state potential of the Ar-N2 van der Waals complex

artículo científico publicado en 2004

Accurate intermolecular ground-state potential-energy surfaces of the HCCH–He, Ne, and Ar van der Waals complexes

article

Alignment-free prediction of mycobacterial DNA promoters based on pseudo-folding lattice network or star-graph topological indices.

artículo científico publicado en 2008

Amino acid pair- and triplet-wise groupings in the interior of α-helical segments in proteins

artículo científico publicado en 2010

Applied computational techniques on schizophrenia using genetic mutations

artículo científico publicado en 2013

Artificial intelligence techniques for colorectal cancer drug metabolism: ontology and complex network.

artículo científico publicado en 2010

Artificial intelligence techniques in medicinal chemistry

artículo científico publicado en 2013

Automatic seizure detection based on star graph topological indices

artículo científico publicado en 2012

Bio-AIMS Collection of Chemoinformatics Web Tools based on Molecular Graph Information and Artificial Intelligence Models

artículo científico

Carbon Nanotubes' Effect on Mitochondrial Oxygen Flux Dynamics: Polarography Experimental Study and Machine Learning Models using Star Graph Trace Invariants of Raman Spectra.

artículo científico publicado en 2017

Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models.

artículo científico publicado en 2015

Complex network spectral moments for ATCUN motif DNA cleavage: first predictive study on proteins of human pathogen parasites

artículo científico publicado en 2009

Drug discovery and design for complex diseases through QSAR computational methods.

scientific article published on January 2010

Drugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 Mpro Protease

scientific article published on 06 November 2020

Enzymes/non-enzymes classification model complexity based on composition, sequence, 3D and topological indices.

artículo científico publicado en 2008

Erratum: “Accurate intermolecular ground-state potential-energy surfaces of the HCCH–He, Ne, and Ar van der Waals complexes” [J. Chem. Phys. 123, 014309 (2005)]

article

Evolutionary computation and QSAR research

artículo científico publicado en 2013

Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota

artículo científico publicado en 2017

Experimental and computational studies of fatty acid distribution networks.

artículo científico publicado en 2015

Experimental-Computational Study of Carbon Nanotube Effects on Mitochondrial Respiration: In Silico Nano-QSPR Machine Learning Models Based on New Raman Spectra Transform with Markov-Shannon Entropy Invariants.

artículo científico publicado en 2017

From QSAR models of drugs to complex networks: state-of-art review and introduction of new Markov-spectral moments indices

artículo científico publicado en 2012

Gastrointestinal Spatiotemporal mRNA Expression of Ghrelin vs Growth Hormone Receptor and New Growth Yield Machine Learning Model Based on Perturbation Theory

artículo científico publicado en 2016

Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis

scientific article published on 05 February 2020

General Machine Learning Model, Review, and Experimental-Theoretic Study of Magnolol Activity in Enterotoxigenic Induced Oxidative Stress.

artículo científico publicado en 2017

Generalized lattice graphs for 2D-visualization of biological information

artículo científico publicado en 2009

He-, Ne-, and Ar-phosgene intermolecular potential energy surfaces

artículo científico publicado en 2013

Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning

scientific article published on 05 September 2019

Improving enzyme regulatory protein classification by means of SVM-RFE feature selection.

artículo científico publicado en 2014

Kernel-based feature selection techniques for transport proteins based on star graph topological indices.

artículo científico publicado en 2013

LECTINPred: web Server that Uses Complex Networks of Protein Structure for Prediction of Lectins with Potential Use as Cancer Biomarkers or in Parasite Vaccine Design.

artículo científico publicado en 2014

LIBP-Pred: web server for lipid binding proteins using structural network parameters; PDB mining of human cancer biomarkers and drug targets in parasites and bacteria

artículo científico publicado en 2012

MIANN models in medicinal, physical and organic chemistry

artículo científico

MIND-BEST: Web server for drugs and target discovery; design, synthesis, and assay of MAO-B inhibitors and theoretical-experimental study of G3PDH protein from Trichomonas gallinae.

artículo científico publicado en 2011

MISS-Prot: web server for self/non-self discrimination of protein residue networks in parasites; theory and experiments in Fasciola peptides and Anisakis allergens.

artículo científico publicado en 2011

Machine learning techniques for single nucleotide polymorphism--disease classification models in schizophrenia.

artículo científico publicado en 2010

Markov mean properties for cell death-related protein classification

artículo científico publicado en 2014

Modeling complex metabolic reactions, ecological systems, and financial and legal networks with MIANN models based on Markov-Wiener node descriptors.

artículo científico publicado en 2013

Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices.

artículo científico publicado en 2008

NL MIND-BEST: a web server for ligands and proteins discovery--theoretic-experimental study of proteins of Giardia lamblia and new compounds active against Plasmodium falciparum

artículo científico publicado en 2011

Nanoinformatics: developing new computing applications for nanomedicine

artículo científico publicado en 2012

Natural/random protein classification models based on star network topological indices.

artículo científico publicado en 2008

Naïve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer.

artículo científico publicado en 2012

New Markov-Shannon Entropy models to assess connectivity quality in complex networks: from molecular to cellular pathway, Parasite-Host, Neural, Industry, and Legal-Social networks.

artículo científico publicado en 2011

Ontologies of drug discovery and design for neurology, cardiology and oncology

artículo científico publicado en 2010

PTML Model of Enzyme Subclasses for Mining the Proteome of Biofuel Producing Microorganisms

artículo científico publicado en 2019

Perturbation Theory Machine Learning Modeling of Immunotoxicity for Drugs Targeting Inflammatory Cytokines and Study of the Antimicrobial G1 Using Cytometric Bead Arrays

scientific article published on 26 August 2019

Perturbation Theory/Machine Learning Model of ChEMBL Data for Dopamine Targets: Docking, Synthesis, and Assay of New l-Prolyl-l-leucyl-glycinamide Peptidomimetics

artículo científico publicado en 2018

Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning

artículo científico

Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models

artículo científico publicado en 2020

Prediction of Nucleotide Binding Peptides Using Star Graph Topological Indices.

artículo científico publicado en 2015

Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks

scientific article published on 22 May 2020

Prot-2S: a new python web tool for protein secondary structure studies.

artículo científico publicado en 2009

QSAR and complex network study of the chiral HMGR inhibitor structural diversity.

artículo científico publicado en 2008

Quantitative Proteome-Property Relationships (QPPRs). Part 1: finding biomarkers of organic drugs with mean Markov connectivity indices of spiral networks of blood mass spectra

artículo científico publicado en 2008

RRegrs: an R package for computer-aided model selection with multiple regression models

artículo científico publicado en 2015

Random Forest classification based on star graph topological indices for antioxidant proteins

artículo científico publicado en 2012

Solvent accessible surface area-based hot-spot detection methods for protein-protein and protein-nucleic acid interfaces

artículo científico publicado en 2015

The Rücker-Markov invariants of complex Bio-Systems: applications in Parasitology and Neuroinformatics.

artículo científico publicado en 2013

The chlorobenzene-argon ground state intermolecular potential energy surface

artículo científico publicado en 2004

The eNanoMapper database for nanomaterial safety information

artículo científico publicado en 2015

The first eNanoMapper prototype: A substance database to support safe-by-design ⬇️

artículo científico publicado en 2014

Trypano-PPI: a web server for prediction of unique targets in trypanosome proteome by using electrostatic parameters of protein-protein interactions.

artículo científico publicado en 2010

Using the RRegrs R package for automating predictive modelling ⬇️

artículo científico publicado en 2015

eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment

artículo científico publicado en 2015

Lista de obras de Cristian R. Munteanu

3D entropy and moments prediction of enzyme classes and experimental-theoretic study of peptide fingerprints in Leishmania parasites

A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing

A methodology for the design of experiments in computational intelligence with multiple regression models

ANN multiscale model of anti-HIV drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks

Accurate intermolecular ground state potential of the Ar-N2 van der Waals complex

Accurate intermolecular ground-state potential-energy surfaces of the HCCH–He, Ne, and Ar van der Waals complexes

Alignment-free prediction of mycobacterial DNA promoters based on pseudo-folding lattice network or star-graph topological indices.

Amino acid pair- and triplet-wise groupings in the interior of α-helical segments in proteins

Applied computational techniques on schizophrenia using genetic mutations

Artificial intelligence techniques for colorectal cancer drug metabolism: ontology and complex network.

Artificial intelligence techniques in medicinal chemistry

Automatic seizure detection based on star graph topological indices

Bio-AIMS Collection of Chemoinformatics Web Tools based on Molecular Graph Information and Artificial Intelligence Models

Carbon Nanotubes' Effect on Mitochondrial Oxygen Flux Dynamics: Polarography Experimental Study and Machine Learning Models using Star Graph Trace Invariants of Raman Spectra.

Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models.

Complex network spectral moments for ATCUN motif DNA cleavage: first predictive study on proteins of human pathogen parasites

Drug discovery and design for complex diseases through QSAR computational methods.

Drugs Repurposing Using QSAR, Docking and Molecular Dynamics for Possible Inhibitors of the SARS-CoV-2 Mpro Protease

Enzymes/non-enzymes classification model complexity based on composition, sequence, 3D and topological indices.

Erratum: “Accurate intermolecular ground-state potential-energy surfaces of the HCCH–He, Ne, and Ar van der Waals complexes” [J. Chem. Phys. 123, 014309 (2005)]

Evolutionary computation and QSAR research

Experimental Study and ANN Dual-Time Scale Perturbation Model of Electrokinetic Properties of Microbiota

Experimental and computational studies of fatty acid distribution networks.

Experimental-Computational Study of Carbon Nanotube Effects on Mitochondrial Respiration: In Silico Nano-QSPR Machine Learning Models Based on New Raman Spectra Transform with Markov-Shannon Entropy Invariants.

From QSAR models of drugs to complex networks: state-of-art review and introduction of new Markov-spectral moments indices

Gastrointestinal Spatiotemporal mRNA Expression of Ghrelin vs Growth Hormone Receptor and New Growth Yield Machine Learning Model Based on Perturbation Theory

Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis

General Machine Learning Model, Review, and Experimental-Theoretic Study of Magnolol Activity in Enterotoxigenic Induced Oxidative Stress.

Generalized lattice graphs for 2D-visualization of biological information

He-, Ne-, and Ar-phosgene intermolecular potential energy surfaces

Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning

Improving enzyme regulatory protein classification by means of SVM-RFE feature selection.

Kernel-based feature selection techniques for transport proteins based on star graph topological indices.

LECTINPred: web Server that Uses Complex Networks of Protein Structure for Prediction of Lectins with Potential Use as Cancer Biomarkers or in Parasite Vaccine Design.

LIBP-Pred: web server for lipid binding proteins using structural network parameters; PDB mining of human cancer biomarkers and drug targets in parasites and bacteria

MIANN models in medicinal, physical and organic chemistry

MIND-BEST: Web server for drugs and target discovery; design, synthesis, and assay of MAO-B inhibitors and theoretical-experimental study of G3PDH protein from Trichomonas gallinae.

MISS-Prot: web server for self/non-self discrimination of protein residue networks in parasites; theory and experiments in Fasciola peptides and Anisakis allergens.

Machine learning techniques for single nucleotide polymorphism--disease classification models in schizophrenia.

Markov mean properties for cell death-related protein classification

Modeling complex metabolic reactions, ecological systems, and financial and legal networks with MIANN models based on Markov-Wiener node descriptors.

Multi-target QPDR classification model for human breast and colon cancer-related proteins using star graph topological indices.

NL MIND-BEST: a web server for ligands and proteins discovery--theoretic-experimental study of proteins of Giardia lamblia and new compounds active against Plasmodium falciparum

Nanoinformatics: developing new computing applications for nanomedicine

Natural/random protein classification models based on star network topological indices.

Naïve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer.

New Markov-Shannon Entropy models to assess connectivity quality in complex networks: from molecular to cellular pathway, Parasite-Host, Neural, Industry, and Legal-Social networks.

Ontologies of drug discovery and design for neurology, cardiology and oncology

PTML Model of Enzyme Subclasses for Mining the Proteome of Biofuel Producing Microorganisms

Perturbation Theory Machine Learning Modeling of Immunotoxicity for Drugs Targeting Inflammatory Cytokines and Study of the Antimicrobial G1 Using Cytometric Bead Arrays

Perturbation Theory/Machine Learning Model of ChEMBL Data for Dopamine Targets: Docking, Synthesis, and Assay of New l-Prolyl-l-leucyl-glycinamide Peptidomimetics

Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning

Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models

Prediction of Nucleotide Binding Peptides Using Star Graph Topological Indices.

Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks

Prot-2S: a new python web tool for protein secondary structure studies.

QSAR and complex network study of the chiral HMGR inhibitor structural diversity.

Quantitative Proteome-Property Relationships (QPPRs). Part 1: finding biomarkers of organic drugs with mean Markov connectivity indices of spiral networks of blood mass spectra

RRegrs: an R package for computer-aided model selection with multiple regression models

Random Forest classification based on star graph topological indices for antioxidant proteins

Solvent accessible surface area-based hot-spot detection methods for protein-protein and protein-nucleic acid interfaces

The Rücker-Markov invariants of complex Bio-Systems: applications in Parasitology and Neuroinformatics.

The chlorobenzene-argon ground state intermolecular potential energy surface

The eNanoMapper database for nanomaterial safety information

The first eNanoMapper prototype: A substance database to support safe-by-design ⬇️

Trypano-PPI: a web server for prediction of unique targets in trypanosome proteome by using electrostatic parameters of protein-protein interactions.

Using the RRegrs R package for automating predictive modelling ⬇️

eNanoMapper: harnessing ontologies to enable data integration for nanomaterial risk assessment