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Chemometrics for QSAR with low sequence homology: Mycobacterial promoter sequences recognition with 2D-RNA entropies
ArticleAbstract: Pbkp_redicting mycobacterial sequences promoter of protein synthesis is important in the study of prPalabras claves:entropy, information theory, Machine learning algorithms, Markov models, Mycobacterial promoter sequences, QSAR, RNA secondary structureAutores:González-Díaz Y., González‐díaz H., Maykel Cruz-Monteagudo, Pérez-Bello A., Santana L., Uriarte E.Fuentes:scopusComplex networks and machine learning: From molecular to social sciences
OtherAbstract: Combining complex networks analysis methods with machine learning (ML) algorithms have become a veryPalabras claves:Biological networks, Clustering, complex networks, Connectome, Ensemble classification, Machine learning, Neural networks, Social and economic networks, Supervised and unsupervised learning, SUPPORT VECTOR MACHINES, Systems biology, TIME SERIESAutores:Duardo-Sanchez A., Fletcher T., González‐díaz H., Maykel Cruz-Monteagudo, Quesada D.Fuentes:scopusComputer-aided nanotoxicology: Assessing cytotoxicity of nanoparticles under diverse experimental conditions by using a novel QSTR-perturbation approach
ArticleAbstract: Nowadays, the interest in the search for new nanomaterials with improved electrical, optical, catalyPalabras claves:Autores:Alejandro Speck-Planche, González‐díaz H., Kleandrova V.V., Luan F., Melo A., Natalia Dias Soeiro Cordeiro M., Ruso J.M.Fuentes:scopusMulti-output model with Box–Jenkins operators of linear indices to pbkp_redict multi-target inhibitors of ubiquitin–proteasome pathway
ArticleAbstract: The ubiquitin–proteasome pathway (UPP) plays an important role in the degradation of cellular proteiPalabras claves:CHEMBL, Moving averages, Multi-scale and multi-output models, multi-target, QSAR, Ubiquitin–proteasome pathway inhibitorsAutores:Abad C., Gerardo M. Casañola-Martin, González‐díaz H., Merino-Sanjuán M., Pérez-Giménez F., Thu H.L.T., Yovani Marrero-PonceFuentes:scopusNet-Net Auto Machine Learning (AutoML) Pbkp_rediction of Complex Ecosystems
ArticleAbstract: Biological Ecosystem Networks (BENs) are webs of biological species (nodes) establishing trophic relPalabras claves:Autores:Barreiro E., González‐díaz H., Maykel Cruz-Monteagudo, Munteanu C.R., Sierra A.P.Fuentes:scopusNucleic acid quadratic indices of the "macromolecular graph's nucleotides adjacency matrix". Modeling of footprints after the interaction of paromomycin with the HIV-1 Ψ-RNA packaging region
ArticleAbstract: This report describes a new set of macromolecular descriptors of relevance to nucleic acid QSAR/QSPRPalabras claves:Footprinting, Nucleic Acid Quadratic Index, paromomycin, QSPR/QSAR, RNA HIV-1, TOMOCOMD-CANAR approachAutores:Castro E.A., De Armas R.R., González‐díaz H., Nodarse D., Torrens F., Yovani Marrero-Ponce, Zaldivar V.R.Fuentes:googlescopusMMM-QSAR recognition of ribonucleases without alignment: Comparison with an HMM model and isolation from Schizosaccharomyces pombe, pbkp_rediction, and experimental assay of a new sequence
ArticleAbstract: The study of type III RNases constitutes an important area in molecular biology. It is known that thPalabras claves:Autores:Agüero-Chapin G., Aminael Sánchez-Rodríguez, de la Riva G.A., González‐díaz H., Podda G., Rodríguez E., Vazquez-Padron R.I.Fuentes:googlescopusMachine learning in antibacterial discovery and development: A bibliometric and network analysis of research hotspots and trends
ArticleAbstract: Machine learning (ML) methods are used in cheminformatics processes to pbkp_redict the activity of aPalabras claves:Antibacterial agents, Antibiotic Resistance, Bibliometric Analysis, Computer model in drug design, Machine learning, Network AnalysisAutores:González‐díaz H., Karel Diéguez-SantanaFuentes:googlescopusMatrix trace operators: From spectral moments of molecular graphs and complex networks to perturbations in synthetic reactions, micelle nanoparticles, and drug ADME processes
ArticleAbstract: The study of quantitative structure-property relationships (QSPR) is important to study complex netwPalabras claves:Carbolithiations, Complex network, Drug ADME process, Markov chain, Organic synthesis, QSPR/QSAR model, Self-aggregation of drug micelle nanoparticles, Spectral moments and perturbation theoryAutores:Alejandro Speck-Planche, Arrasate S., González‐díaz H., Juan A.G.S., Lete E., Luan F., Natalia Dias Soeiro Cordeiro M., Ruso J.M., Sotomayor N.Fuentes:scopusPerturbation-theory machine learning (PTML) multilabel model of the CheMBL dataset of preclinical assays for antisarcoma compounds
ArticleAbstract: Sarcomas are a group of malignant neoplasms of connective tissue with a different etiology than carcPalabras claves:Autores:Alejandro Cabrera-Andrade, Andrés López-Cortés, Arrasate S., Eduardo Tejera, González‐díaz H., Munteanu C.R., Sierra A.P., Yunierkis Perez-CastilloFuentes:googlescopus