QSAR modeling of antitubercular activity of diverse organic compounds

Authors :: Kovalishyn, Vasyl
Aires-de-Sousa, Joao
Ventura, Cristina
Elvas Leitao, Ruben
Martins, Filomena
Source :: Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP
Publication Year :: 2011
Publisher :: Elsevier Science BV, 2011.
Abstract: Submitted by Fátima Piedade (fpiedade@sa.isel.pt) on 2013-02-16T17:50:57Z No. of bitstreams: 1 QSAR modeling of antitubercular activity of diverse organic compounds.rep.pdf: 280502 bytes, checksum: de70c5a5f95ee935c95b313aa2b92a00 (MD5) Made available in DSpace on 2013-02-16T17:50:57Z (GMT). No. of bitstreams: 1 QSAR modeling of antitubercular activity of diverse organic compounds.rep.pdf: 280502 bytes, checksum: de70c5a5f95ee935c95b313aa2b92a00 (MD5) Previous issue date: 2011-05

Subjects :: Random Forests
Benzimidazole Derivatives
Inhibitor
Design
Neural Networks
QSAR
Neural-Network
Agents
Antitubercular
Antimycobacterial Activity
In-Vitro
Mycobacterium-Tuberculosis
Drug Design
Variable Selection
Isoniazid Derivatives

Language :: English
Database :: OpenAIRE
Journal :: Repositório Científico de Acesso Aberto de Portugal, Repositório Científico de Acesso Aberto de Portugal (RCAAP), instacron:RCAAP
Accession number :: edsair.od......3056..90c809967fc07ab83e21ad8b364ff35c

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