Publikationen in Zusammenarbeit mit Forschern von Universidad Central de Las Villas (9)

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

2010

  1. Design, synthesis, and evaluation of antineoplastic activity of novel carbocyclic nucleosides

    Molecular Informatics, Vol. 29, Núm. 3, pp. 213-231

2009

  1. A TOPological Sub-structural Molecular Design (TOPS-MODE)-QSAR approach for modeling the antiproliferative activity against murine leukemia tumor cell line (L1210)

    Bioorganic and Medicinal Chemistry, Vol. 17, Núm. 2, pp. 537-547

  2. Theoretical prediction of antiproliferative activity against murine leukemia tumor cell line (L1210). 3D-morse descriptor and its application in computational chemistry)

    QSAR and Combinatorial Science, Vol. 28, Núm. 1, pp. 98-110

2007

  1. Probing the anticancer activity of nucleoside analogues: A QSAR model approach using an internally consistent training set

    Journal of Medicinal Chemistry, Vol. 50, Núm. 7, pp. 1537-1545