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Non-stochastic and stochastic linear indices of the molecular pseudograph's atom-adjacency matrix: a novel approach for computational in silico screening and "rational" selection of new lead antibacterial agents.
Marrero-Ponce, Yovani; Marrero, Ricardo Medina; Torrens, Francisco; Martinez, Yamile; Bernal, Milagros García; Zaldivar, Vicente Romero; Castro, Eduardo A; Abalo, Ricardo Grau.
Afiliação
  • Marrero-Ponce Y; Department of Pharmacy, Faculty of Chemical-Pharmacy, Central University of Las Villas, Santa Clara, 54830, Villa Clara, Cuba. yovanimp@qf.uclv.edu.cu
J Mol Model ; 12(3): 255-71, 2006 Feb.
Article em En | MEDLINE | ID: mdl-16270182
A novel approach (TOMOCOMD-CARDD) to computer-aided "rational" drug design is illustrated. This approach is based on the calculation of the non-stochastic and stochastic linear indices of the molecular pseudograph's atom-adjacency matrix representing molecular structures. These TOMOCOMD-CARDD descriptors are introduced for the computational (virtual) screening and "rational" selection of new lead antibacterial agents using linear discrimination analysis. The two structure-based antibacterial-activity classification models, including non-stochastic and stochastic indices, classify correctly 91.61% and 90.75%, respectively, of 1525 chemicals in training sets. These models show high Matthews correlation coefficients (MCC=0.84 and 0.82). An external validation process was carried out to assess the robustness and predictive power of the model obtained. These QSAR models permit the correct classification of 91.49% and 89.31% of 505 compounds in an external test set, yielding MCCs of 0.84 and 0.79, respectively. The TOMOCOMD-CARDD approach compares satisfactorily with respect to nine of the most useful models for antimicrobial selection reported to date. Finally, an in silico screening of 87 new chemicals reported in the anti-infective field with antibacterial activities is developed showing the ability of the TOMOCOMD-CARDD models to identify new lead antibacterial compounds.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Avaliação Pré-Clínica de Medicamentos / Antibacterianos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: J Mol Model Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2006 Tipo de documento: Article País de afiliação: Cuba País de publicação: Alemanha
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Avaliação Pré-Clínica de Medicamentos / Antibacterianos Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: J Mol Model Assunto da revista: BIOLOGIA MOLECULAR Ano de publicação: 2006 Tipo de documento: Article País de afiliação: Cuba País de publicação: Alemanha