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In-silico determination of pKa and logp values of some isoniazid synthetic analogues using Marvin software.
Naeem, Sabahat; Akhtar, Shamim; Zafar, Shaista; Iqbal, Sadia.
Afiliação
  • Naeem S; Department of Pharmaceutical Chemistry, Dow College of Pharmacy, Dow University of Health Sciences, Karachi, Pakistan.
  • Akhtar S; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Hamdard University, Karachi, Pakistan.
  • Zafar S; Department of Pharmaceutical Chemistry, Faculty of Pharmacy and Pharmaceutical Sciences, University of Karachi, Pakistan.
  • Iqbal S; Department of Pharmaceutical Chemistry, Dow College of Pharmacy, Dow University of Health Sciences, Karachi, Pakistan.
Pak J Pharm Sci ; 33(2): 715-719, 2020 Mar.
Article em En | MEDLINE | ID: mdl-32276918
ABSTRACT
Among the physicochemical properties, pKa and LogP values help us in studying drug parameters like ADME and could be predicted to some extent. With this view, here we wish to predict these two properties of our previously synthesized biologically active derivatives of isoniazid using on-line available program Marvin, a Java-based chemical software application frequently used for chemical modeling. According to Marvin, pKa values predicted 99.99% unionized states of INH and some derivatives at physiological pH 7.4. Marvin calculated LogP values estimated good oral absorption for all the synthesized compounds. Therefore it can be said that the findings of the study emerged in an ideal region that permits the formulation of these derivatives. Since this was just a theoretical study, it demands more experimentation to determine accurate situation.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Software / Isoniazida Tipo de estudo: Prognostic_studies Idioma: En Revista: Pak J Pharm Sci Assunto da revista: FARMACIA / FARMACOLOGIA / QUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Paquistão
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Software / Isoniazida Tipo de estudo: Prognostic_studies Idioma: En Revista: Pak J Pharm Sci Assunto da revista: FARMACIA / FARMACOLOGIA / QUIMICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Paquistão
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