BIOILS_Biologically Active Organic Compounds and Ionic Liquids
BIOILS
Universidad Central de Las Villas
Santa Clara, CubaPublicacións en colaboración con investigadores/as de Universidad Central de Las Villas (23)
2022
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Emerging Computational Approaches for Antimicrobial Peptide Discovery
Antibiotics, Vol. 11, Núm. 7
2016
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Ligand-Based Virtual Screening Using Tailored Ensembles: A Prioritization Tool for Dual A2A Adenosine Receptor Antagonists / Monoamine Oxidase B Inhibitors
Current Pharmaceutical Design, Vol. 22, Núm. 21, pp. 3082-3096
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Topological sub-structural molecular design (TOPS-MODE): a useful tool to explore key fragments of human A3adenosine receptor ligands
Molecular Diversity, Vol. 20, Núm. 1, pp. 55-76
2013
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Classifier ensemble based on feature selection and diversity measures for predicting the affinity of A2B adenosine receptor antagonists
Journal of Chemical Information and Modeling, Vol. 53, Núm. 12, pp. 3140-3155
2010
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Multidimensional drug design: Simultaneous analysis of binding and relative efficacy profiles of n6-substituted-4′-thioadenosines A 3 adenosine receptor agonists
Chemical Biology and Drug Design, Vol. 75, Núm. 6, pp. 607-618
2008
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Cytotoxicity of selected imidazolium-derived ionic liquids in the human Caco-2 cell line. Sub-structural toxicological interpretation through a QSAR study
Green Chemistry, Vol. 10, Núm. 5, pp. 508-51
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New QSAR combined strategy for the design of A1 adenosine receptor agonists
Bioorganic and Medicinal Chemistry, Vol. 16, Núm. 4, pp. 1658-1675
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Search for new antagonist ligands for adenosine receptors from QSAR point of view. How close are we?
Medicinal Research Reviews, Vol. 28, Núm. 3, pp. 329-371
2007
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2D-autocorrelation descriptors for predicting cytotoxicity of naphthoquinone ester derivatives against oral human epidermoid carcinoma
Bioorganic and Medicinal Chemistry, Vol. 15, Núm. 10, pp. 3565-3571
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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
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QSAR studies using radial distribution function for predicting A 1 adenosine receptors agonists
Bulletin of Mathematical Biology, Vol. 69, Núm. 1, pp. 347-359
2006
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QSAR studies about cytotoxicity of benzophenazines with dual inhibition toward both topoisomerases I and II: 3D-MoRSE descriptors and statistical considerations about variable selection
Bioorganic and Medicinal Chemistry, Vol. 14, Núm. 21, pp. 7347-7358
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Quantitative structure activity relationships as useful tools for the design of new adenosine receptor ligands. 1. Agonist
Current Medicinal Chemistry, Vol. 13, Núm. 19, pp. 2253-2266
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Radial distribution function descriptors: An alternative for predicting A2 A adenosine receptors agonists
European Journal of Medicinal Chemistry, Vol. 41, Núm. 1, pp. 56-62
2005
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A radial distribution function approach to predict A 2B agonist effect of adenosine analogues
Bioorganic and Medicinal Chemistry, Vol. 13, Núm. 3, pp. 601-608
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A topological sub-structural approach to the mutagenic activity in dental monomers. 3. Heterogeneous set of compounds
Polymer, Vol. 46, Núm. 8, pp. 2783-2790
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BCUT descriptors to predicting affinity toward A3 adenosine receptors
Bioorganic and Medicinal Chemistry Letters, Vol. 15, Núm. 15, pp. 3491-3495
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GETAWAY descriptors to predicting A2A adenosine receptors agonists
European Journal of Medicinal Chemistry, Vol. 40, Núm. 11, pp. 1080-1086
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Geometry, topology, and atom-weights assembly descriptors to predicting A1 adenosine receptors agonists
Bioorganic and Medicinal Chemistry Letters, Vol. 15, Núm. 10, pp. 2641-2645
2004
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A TOPS-MODE approach to predict adenosine kinase inhibition
Bioorganic and Medicinal Chemistry Letters, Vol. 14, Núm. 12, pp. 3077-3079