Cargando…
Adverse Drug Reaction Prediction Using Scores Produced by Large-Scale Drug-Protein Target Docking on High-Performance Computing Machines
Late-stage or post-market identification of adverse drug reactions (ADRs) is a significant public health issue and a source of major economic liability for drug development. Thus, reliable in silico screening of drug candidates for possible ADRs would be advantageous. In this work, we introduce a co...
Autores principales: | LaBute, Montiago X., Zhang, Xiaohua, Lenderman, Jason, Bennion, Brian J., Wong, Sergio E., Lightstone, Felice C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4156361/ https://www.ncbi.nlm.nih.gov/pubmed/25191698 http://dx.doi.org/10.1371/journal.pone.0106298 |
Ejemplares similares
-
Immunoinformatics Comes of Age
por: Korber, Bette, et al.
Publicado: (2006) -
Disease properties, geography, and mitigation strategies in a simulation spread of rinderpest across the United States
por: Manore, Carrie, et al.
Publicado: (2011) -
A Comprehensive Docking and MM/GBSA Rescoring Study of Ligand Recognition upon Binding Antithrombin
por: Zhang, Xiaohua, et al.
Publicado: (2017) -
Constructing Rigorous and Broad Biosurveillance Networks for Detecting Emerging Zoonotic Outbreaks
por: Brown, Mac, et al.
Publicado: (2015) -
Clustering Protein
Binding Pockets and Identifying
Potential Drug Interactions: A Novel Ligand-Based Featurization Method
por: Stevenson, Garrett A., et al.
Publicado: (2023)