Publicaciones en colaboración con investigadoras/es de Universidad Central de Las Villas (56)

2019

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

    Chemical Research in Toxicology, Vol. 32, Núm. 9, pp. 1811-1823

2014

  1. Model for high-throughput screening of drug immunotoxicity - Study of the anti-microbial G1 over peritoneal macrophages using flow cytometry

    European Journal of Medicinal Chemistry, Vol. 72, pp. 206-220

2013

  1. Entropy model for multiplex drug-target interaction endpoints of drug immunotoxicity

    Current Topics in Medicinal Chemistry, Vol. 13, Núm. 14, pp. 1636-1649

2012

  1. ANN multiplexing model of drugs effect on macrophages; Theoretical and flow cytometry study on the cytotoxicity of the anti-microbial drug G1 in spleen

    Bioorganic and Medicinal Chemistry, Vol. 20, Núm. 20, pp. 6181-6194

  2. Immunotoxicity, flow cytometry, and chemoinformatics: Review, bibliometric analysis, and new QSAR model of drug effects over macrophages

    Current Topics in Medicinal Chemistry, Vol. 12, Núm. 16, pp. 1815-1833

  3. QSAR, Complex Networks, Principal Components and Partial Order Analysis of Drug Cardiotoxicity with Proteome Mass-Spectra Topological Indices

    RECENT TRENDS ON QSAR IN THE PHARMACEUTICAL PERCEPTIONS (BENTHAM SCIENCE PUBL), pp. 3-50

2011

  1. Markov Entropy Centrality: Chemical, Biological, Crime, and Legislative Networks

    TOWARDS AN INFORMATION THEORY OF COMPLEX NETWORKS: STATISTICAL METHODS AND APPLICATIONS (BIRKHAUSER BOSTON), pp. 199-258

2010

  1. Alignment-Free Models in Plant Genomics: Theoretical, Experimental, and Legal Issues

    ADVANCES IN GENETICS RESEARCH, VOL 1 (NOVA SCIENCE PUBLISHERS, INC), pp. 79-127

  2. Alignment-free models in plant genomics: Theoretical, experimental, and legal issues

    Advances in Genetics Research (Nova Science Publishers, Inc.), pp. 79-127

  3. QSAR for RNases and theoretic-experimental study of molecular diversity on peptide mass fingerprints of a new Leishmania infantum protein

    Molecular Diversity, Vol. 14, Núm. 2, pp. 349-369

2009

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

    Journal of Theoretical Biology, Vol. 256, Núm. 3, pp. 458-466

  2. Alignment-free prediction of polygalacturonases with pseudofolding topological indices: Experimental isolation from coffea arabica and prediction of a new sequence

    Journal of Proteome Research, Vol. 8, Núm. 4, pp. 2122-2128

2008

  1. 3D-MEDNEs: An alternative "in silico" technique for chemical research in toxicology. 2. Quantitative proteome-toxicity relationships (QPTR) based on mass spectrum spiral entropy

    Chemical Research in Toxicology, Vol. 21, Núm. 3, pp. 619-632

  2. HP-Lattice QSAR for dynein proteins: Experimental proteomics (2D-electrophoresis, mass spectrometry) and theoretic study of a Leishmania infantum sequence

    Bioorganic and Medicinal Chemistry, Vol. 16, Núm. 16, pp. 7770-7776

  3. MMM-QSAR recognition of ribonucleases without alignment: Comparison with an HMM model and isolation from Schizosaccharomyces pombe, prediction, and experimental assay of a new sequence

    Journal of Chemical Information and Modeling, Vol. 48, Núm. 2, pp. 434-448

  4. Stochastic molecular descriptors for polymers. 4. Study of complex mixtures with topological indices of mass spectra spiral and star networks: The blood proteome case

    Polymer, Vol. 49, Núm. 25, pp. 5575-5587

2007

  1. ANN-QSAR model for selection of anticancer leads from structurally heterogeneous series of compounds

    European Journal of Medicinal Chemistry, Vol. 42, Núm. 5, pp. 580-585

  2. Chemometrics for QSAR with low sequence homology: Mycobacterial promoter sequences recognition with 2D-RNA entropies

    Chemometrics and Intelligent Laboratory Systems, Vol. 85, Núm. 1, pp. 20-26

2006

  1. 3D-QSAR study for DNA cleavage proteins with a potential anti-tumor ATCUN-like motif

    Journal of Inorganic Biochemistry, Vol. 100, Núm. 7, pp. 1290-1297

  2. A QSAR model for in silico screening of MAO-A inhibitors. Prediction, synthesis, and biological assay of novel coumarins

    Journal of Medicinal Chemistry, Vol. 49, Núm. 3, pp. 1149-1156