MARIA LOURDES
SANTANA PENIN
Profesora emérita de universidad
Universidad Central de Las Villas
Santa Clara, CubaPublicaciones en colaboración con investigadores/as de Universidad Central de Las Villas (14)
2015
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Métodos grafo-numéricos de relevancia para la bioinformática. Aplicaciones en la biotecnología vegetal y en el descubrimiento de fármacos
Anales de la Academia de Ciencias de Cuba, Vol. 5, Núm. 3
2007
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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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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
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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
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Stochastic entropy QSAR for the in silico discovery of anticancer compounds: Prediction, synthesis, and in vitro assay of new purine carbanucleosides
Bioorganic and Medicinal Chemistry, Vol. 14, Núm. 4, pp. 1095-1107
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Unify QSAR approach to antimicrobials. Part 1: Predicting antifungal activity against different species
Bioorganic and Medicinal Chemistry, Vol. 14, Núm. 17, pp. 5973-5980
2005
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3D QSAR Markov model for drug-induced eosinophilia - Theoretical prediction and preliminary experimental assay of the antimicrobial drug G1
Bioorganic and Medicinal Chemistry, Vol. 13, Núm. 5, pp. 1523-1530
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Markovian chemicals "in silico" design (MARCH-INSIDE), a promising approach for computer-aided molecular design III: 2.5D indices for the discovery of antibacterials
Journal of Molecular Modeling, Vol. 11, Núm. 2, pp. 116-123
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QSAR for anti-RNA-virus activity, synthesis, and assay of anti-RSV carbonucleosides given a unified representation of spectral moments, quadratic, and topologic indices
Bioorganic and Medicinal Chemistry Letters, Vol. 15, Núm. 6, pp. 1651-1657
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Unified Markov thermodynamics based on stochastic forms to classify drugs considering molecular structure, partition system, and biological species:: Distribution of the antimicrobial G1 on rat tissues
Bioorganic and Medicinal Chemistry Letters, Vol. 15, Núm. 3, pp. 551-557
2003
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Markovian chemicals "in silico" design (MARCH-INSIDE), a promising approach for computer-aided molecular design I: Discovery of anticancer compounds
Journal of Molecular Modeling, Vol. 9, Núm. 6, pp. 395-407
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Symmetry considerations in Markovian chemicals 'in silico' design (MARCH-INSIDE) I: Central chirality codification, classification of ACE inhibitors and prediction of σ-receptor antagonist activities
Computational Biology and Chemistry, Vol. 27, Núm. 3, pp. 217-227
2000
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A novel approach for the virtual screening and rational design of anticancer compounds
Journal of Medicinal Chemistry, Vol. 43, Núm. 10, pp. 1975-1985
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Synthesis, X-ray molecular structure, and semiempirical calculations of a new heteroarylpiperazine derivative
Structural Chemistry, Vol. 11, Núm. 4, pp. 249-256