Dr. Cristian Robert Munteanu  

MATEO: intermolecular alpha-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products

Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy

Database Bias in the Detection of Interdomain Horizontal Gene Transfer Events in Pezizomycotina

Unraveling druggable cancer-driving proteins and targeted drugs using artificial intelligence and multi-omics analyses. IF: 3,9, Q1

In silico Analyses of Immune System Protein Interactome Network, Single-Cell RNA Sequencing of Human Tissues, and Artificial Neural Networks Reveal Potential Therapeutic Targets for Drug Repurposing Against COVID-19 (Q1, IF: 3.86)

Molecular docking, SAR analysis and biophysical approaches in the study of the antibacterial activity of ceramides isolated from Cissus incisa (Q2, IF=4.831)

Prediction of anti-glioblastoma drug-decorated nanoparticle delivery systems using molecular descriptors and machine learning (Q1, IF: 5.923)

Applying Artificial Intelligence for Operating System Fingerprinting

MCDCalc: Markov Chain Molecular Descriptors Calculator for Medicinal Chemistry [Q2, IF=3,442]

Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis (Q2, IF=4,183)

Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction. IF: 2.679 (Q2)

OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine (Q1, IF=4.120)

Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques - IF: 3.434 (Q1)

Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks (Q1, IF=4.120)

Molecular docking and machine learning analysis of Abemaciclib in colon cancer

Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models (IF=3.796, Q1)

PTML Multi-Label Algorithms: Models, Software, and Applications (IF: 3.390, Q1)

Discovery of novel immunopharmacological ligands targeting the IL-17 inflammatory pathway (IF: 3.943, Q2)

Perturbation-Theory Machine Learning (PTML) Multilabel Model of the ChEMBL Dataset of Preclinical Assays for Antisarcoma Compounds (IF: 2.87, Q1)

Design and Implementation of a Physical Bitcoin Coin

Drugs repurposing using QSAR, docking and molecular dynamic for possible inhibitor of SARS-CoV-2 Mpro protease (IF: 3.267, Q1)

A multi-objective approach for anti-osteosarcoma cancer agents discovering through drugs repurposing (IF:4.286, Q1)

Web Server and R Library for the Calculation of Markov Chains Molecular Descriptors

Classification of radiologically isolated syndrome and clinically isolated syndrome with machine-learning techniques

Identification of coenzyme-binding proteins with machine learning algorithms (IF=1.412, Q3)

PTML Model of Enzyme Subclasses for Mining the Proteome of Bio-fuel Producing Microorganisms (IF: 3,95, Q1)

Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning

Perturbation-Theory Machine Learning modelling of immunotoxicity for drugs targeting inflammatory cytokines and study of the anti-microbial G1 using cytometric bead arrays

Machine learning classification models for fetal skeletal development performance prediction using maternal bone metabolic proteins in goats (IF=2.34, Q1)

Perturbation Theory/Machine Learning Model of ChEMBL Data for Dopamine Targets: Docking, Synthesis, and Assay of New l-Prolyl-l-leucyl-glycinamide Peptidomimetics (IF=3,883, Q1)

Net-Net Auto Machine Learning (AutoML) Prediction of Complex Ecosystems IF: 4,122 Q1

Gene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis [JCR=4,259, Q1]

Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity. IF: 2.981 (Q1)

An Experimental-Computational Study of Carbon Nanotubes Effects on Mitochondrial Respiration: In Silico nano-QSPR Machine Learning Models Based on New Raman Spectra Transform with Markov-Shannon Entropy Invariants (IF = 3.657, Q1)

Experimental study and ANN dual-time scale perturbation model of electrokinetic properties of microbiota (IF: 4,076; Q1)

SNOMED2HL7: A tool to normalize and bind SNOMED CT concepts to the HL7 Reference Information Model (Q1, IF: 2.503)

General Machine Learning Model, Review, and Experimental-Theoretic Study of Magnolol Activity in Enterotoxigenic Induced Oxidative Stress (IF: 2,561, Q2)

Decrypting Interactions of Single-Walled Carbon Nanotubes and Mitochondrial Voltage-Dependent Anion Channels with Docking and Perturbation Theory (IF: 4,259; Q1)

Carbon Nanotubes' Effect on Mitochondrial Oxygen Flux Dynamics: Polarography Experimental Study and Machine Learning Models using Star Graph Trace Invariants of Raman Spectra (IF=3,553; Q1)

Gastrointestinal Spatiotemporal mRNA Expression of Ghrelin vs Growth Hormone Receptor and New Growth Yield Machine Learning Model Based on Perturbation Theory (Q1, IF: 5.228)

A methodology for the design of experiments in computational intelligence with multiple regression models. IF: 2.183 (Q1)

Graph-based Processing of Macromolecular Information

Classification of signaling proteins based on molecular star graph descriptors using machine-learning models - IF: 2.049 (Q1)

Classification of mild cognitive impairment and Alzheimer¿s disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data (Q1, IF: 2.240)

Bio-AIMS Collection of Chemoinformatics Web Tools based on Molecular Graph Information and Artificial Intelligence Models (Q3, IF: 1.222)

Prediction of Nucleotide Binding Peptides using Star Graph Topological Indices - IF: 1.570 (Q2)

Experimental-Computational Studies of Fatty Acids Distribution Networks (Q2, IF:3.21)

RRegrs: An R package for Computer-aided Model Selection with Multiple Regression Models (Q1) IF: 4.547

The eNanoMapper database for nanomaterial safety information (Q1, IF: 2.670)

A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications - IF: 0.770 (Q4)

Solvent Accessible Surface Area-Based Hot-Spot Detection Methods for Protein-Protein and Protein-Nucleic Acid Interfaces (Q1, IF: 3.738)

eNanoMapper: Harnessing ontologies to enable data integration for nanomaterial risk assessment (Q1, IF: 2.262)

Markov Mean Properties for Cell Death-Related Protein Classification. IF: 2.303 (Q1)

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. IF: 2.013 (Q2)

Modeling Complex Metabolic Reactions, Ecological Systems, and Financial and Legal Networks with MIANN Models Based on Markov-Wiener Node Descriptors. IF: 3.738 (Q1)

Improving Enzyme Regulatory Protein Classification by means of SVM-RFE Feature Selection - IF: 3.183 (Q2)

ANN Multiscale Model of anti-HIV drugs activity vs. AIDS Prevalence in US at county level based on Information indices of Molecular Graphs and Social Networks. IF: 3.738 (Q1)

Random Forest Classification Based On Star Graph Topological Indices For Antioxidant Proteins. Journal Of Theoretical Biology IF: 2.303 (Q1)

S2SNet: A Tool for Transforming Characters and Numeric Sequences into Star Network Topological Indices in Chemoinformatics, Bioinformatics, Biomedical, and Social-Legal Sciences. IF: 1.726 (Q2)

The Rucker-Markov invariants of complex Bio-Systems: Applications in Parasitology and Neuroinformatics. IF: 1.472 (Q2)

MIANN Models in Medicinal, Physical and Organic Chemistry. IF: 3.453 (Q1)

Biomedical Data Integration in Computational Drug Design and Bioinformatics. IF: 1.942 (Q1)

Evolutionary Computation and QSAR Research. IF: 1.942 (Q1)

Kernel-based Feature Selection Techniques for Transport Proteins Based on Star Graph Topological Indices -- IF: 3.453 (Q1)

Applied Computational Techniques on Schizophrenia using genetic mutations. IF: 3.453 (Q1)

Artificial Intelligence Techniques in Medicinal Chemistry. IF: 3.453 (Q1)

Markov-Randic Indices for QSPR Re-Evaluation of Metabolic, Parasite-Host, Fasciolosis Spreading, Brain Cortex and Legal-Social Complex Networks. IF: 1.726 (Q2)

He-, Ne-, and Ar-Phosgene Intermolecular Potential Energy Surfaces. IF: 2.775 (Q2)

Regulatory affairs issues and legal ontologies in drug development

Soft Computing, Content-Based Retrieval and Reconstruction in Medical Imaging

Naïve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer. IF: 3.35 (Q2)

Automatic Seizure Detection Based on Star Graph Topological Indices. IF: 2.114 (Q3)

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. IF: 3.35 (Q2)

Nanoinformatics: developing new computing applications for nanomedicine. IF: 1.168 (Q3)

From QSAR models of Drugs to Complex Networks: State-of-Art Review and Introduction of New Markov-Spectral Moments Indices. IF: 3.702 (Q1)

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. IF: 2.351 (Q2)

The Ability of MEAs Containing Cultured Neuroglial Networks to Process Information. IF: 0.898 (Q4)

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. IF: 2.208 (Q1)

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. IF: 5.113 (Q1)

Definition of Markov-Harary Invariants and Review of Classic Topological Indices and Databases in Biology, Parasitology, Technology, and Social-Legal Networks. IF: 0.898 (Q4)

Amino acid pair- and triplet-wise groupings in the interior of alpha-helical segments in proteins. IF: 2.208 (Q1)

MISS-Prot: web server for self/non-self discrimination of protein residue networks in parasites; theory and experiments in Fasciola peptides and Anisakis allergens. IF: 3.234 (Q2)

From Chemical Graphs in Computer-Aided Drug Design to General Markov-Galvez Indices of Drug-Target, Proteome, Drug-Parasitic Disease, Technological, and Social-Legal Networks. IF: 1.762 (Q2)

Automatic feature extraction using genetic programming: An application to epileptic EEG classification. IF: 2.203 (Q1)

An Approach for the Automatic Recommendation of Ontologies Using Collaborative Knowledge

Artificial Intelligence Techniques for Colorectal Cancer Drug Metabolism: Ontologies and Complex Networks. IF: 3.9 (Q1)

Drug Discovery and Design for Complex Diseases through QSAR Computational Methods. IF: 4.77 (Q1)

Machine Learning Techniques for Single Nucleotide Polymorphism - Disease Classification Models in Schizophrenia. IF: 2.386 (Q2)

Ontologies of Drug Discovery and Design for Neurology, Cardiology and Oncology. IF: 4.77 (Q1)

Plasmod-PPI: a web-server predicting complex biopolymer targets in Plasmodium with entropy measures of protein-protein interactions. IF: 3.83 (Q1)

Trypano-PPI: A Web Server for Prediction of Unique Targets in Trypanosome Proteome by using Electrostatic Parameters of Protein-Protein Interactions. IF: 5.46 (Q1)

Data mining in complex diseases using Evolutionary Computation

Star Graphs of Protein Sequences and Proteome Mass Spectra in Cancer Prediction

3D Entropy and Moments Prediction of Enzyme Classes and Experimental-Theoretic Study of Peptide Fingerprints in Leishmania Parasites (IF = 2.480, Q3)

Generalized Lattice Graphs for 2D-Visualization of Biological Information (IF = 2.574, Q1)

Complex Network Spectral Moments for ATCUN Motif DNA Cleavage: First Predictive Study on Proteins of Human Pathogen Parasites (IF = 5.132, Q1)

Prot-2S: A New Python Web Tool for Protein Secondary Structure Studies

Alignment-free prediction of Mycobacterial DNA promoters based on Pseudo-folding Lattice Network or Star-Graph Topological Indices (IF = 2.574, Q1)

Multi-Target QPDR Classification Model for Human Breast and Colon Cancer-Related Proteins using Star Graph Topological Indices (IF = 2.574, Q1)

QSAR and complex network study of the chiral HMGR inhibitor structural diversity (IF = 2.822, Q2)

Quantitative Proteome¿Property Relationships (QPPRs). Part 1: Finding biomarkers of organic drugs with mean Markov connectivity indices of spiral networks of blood mass spectra (IF = 3.075, Q1)

Stochastic molecular descriptors for polymers. 4. Study of complex mixtures with topological indices of mass spectra spiral and star networks: the blood proteome case (IF = 3.331, Q1)

Natural/random protein classification models based on star network topological indices (IF = 2.454, Q1)

Enzymes/non-enzymes classification model complexity based on composition, sequence, 3D and topological indices (IF = 2.454, Q1)

Accurate intermolecular ground-state potential-energy surfaces of the HCCH-He, Ne, and Ar van der Waals complexes (IF = 3.138, Q1, Top5)

Accurate intermolecular ground state potential of the Ar-N2 van der Waals complex (IF = 3.105, Q1, Top5)

The chlorobenzene-argon ground state intermolecular potential energy surface (IF = 3.105, Q1, Top5)

Accurate intermolecular ground state potential of the Ne-N2 van der Waals complex (IF = 3.105, Q1, Top5)