Pharmacophore Assessment Through 3-D QSAR: Evaluation of the Predictive Ability on New Derivatives by the Application on a Series of Antitubercular Agents-Reference-Cited by-同舟云学术

Pharmacophore Assessment Through 3-D QSAR: Evaluation of the Predictive Ability on New Derivatives by the Application on a Series of Antitubercular Agents

Published:2013-05-17 Issue:6 Volume:53 Page:1463-1474
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Friggeri Laura,Ballante Flavio,Ragno Rino,Musmuca Ira,De Vita Daniela,Manetti Fabrizio¹,Biava Mariangela,Scipione Luigi,Di Santo Roberto,Costi Roberta,Feroci Marta²,Tortorella Silvano

Affiliation:

1. Dipartimento di Biotecnologie, Chimica e Farmacia, Università degli Studi di Siena, Via Aldo Moro 2, I-53100 Siena, Italy

2. Dipartimento di Scienze di Base e Applicate per l’Ingegneria, Sapienza Università di Roma, Via Castro Laurenziano 7, I-00161 Rome, Italy

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci400132q

Reference24 articles.

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2. Lazy, Dynamic or Minimally Recrudescent? On the Elusive Nature and Location of the Mycobacterium Responsible for Latent Tuberculosis

3. Which agents should we use for the treatment of multidrug-resistant Mycobacterium tuberculosis?

4. Emergence of New Forms of Totally Drug-Resistant Tuberculosis Bacilli

5. Totally Drug-Resistant Tuberculosis in India

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