Quantitative structure–activity relationship methods in the discovery and development of antibacterials-Reference-Cited by-同舟云学术

Quantitative structure–activity relationship methods in the discovery and development of antibacterials

Published:2020-03-17 Issue:6 Volume:10 Page:
ISSN:1759-0876
Container-title:WIREs Computational Molecular Science
language:en
Short-container-title:WIREs Comput Mol Sci

Author:

Suay‐Garcia Beatriz¹^ORCID,Bueso‐Bordils Jose Ignacio²,Falcó Antonio¹,Pérez‐Gracia María Teresa²,Antón‐Fos Gerardo²,Alemán‐López Pedro²

Affiliation:

1. Departamento de Matemáticas, Física y Ciencias Tecnológicas Universidad Cardenal Herrera‐CEU, CEU Universities Alfara del Patriarca, Valencia Spain

2. Departamento de Farmacia, Universidad Cardenal Herrera‐CEU CEU Universities Alfara del Patriarca, Valencia Spain

Publisher

Wiley

Subject

Materials Chemistry,Computational Mathematics,Physical and Theoretical Chemistry,Computer Science Applications,Biochemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wcms.1472

Reference86 articles.

1. 49th ICAAC Annual Meeting: optimization of anti-infective use in the clinical setting

2. The emergent needs for basic research, education, and surveillance of antimicrobial resistance

3. Health Care-Associated Infection Outbreak Investigations by the Centers for Disease Control and Prevention, 1946-2005

4. World Health Organization. Antibiotic resistance. Available from:http://www.who.int/features/factfiles/antimicrobial_resistance/en/(accessed November 4 2019).

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