2009
DOI: 10.1021/ci900186w
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Identification of Novel Non-Hydroxamate Anthrax Toxin Lethal Factor Inhibitors by Topomeric Searching, Docking and Scoring, and in Vitro Screening

Abstract: Anthrax is an infectious disease caused by Bacillus anthracis, a Gram-positive, rod-shaped, anaerobic bacterium. The lethal factor (LF) enzyme is secreted by B. anthracis as part of a tripartite exotoxin and is chiefly responsible for anthrax-related cytotoxicity. As LF can remain in the system long after antibiotics have eradicated B. anthracis from the body, the preferred therapeutic modality would be the administration of antibiotics together with an effective LF inhibitor. Although LF has garnered a great … Show more

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Cited by 23 publications
(35 citation statements)
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“…Pierce et al (2008) used GLIDE to dock approximately 700,000 commercially available compounds and identified four compounds with K i values less than 5 mM. Chiu et al (2009) used SURFLEX to identify novel inhibitors of anthrax toxin lethal factor responsible for anthrax-related cytotoxicity. Docking study of a compound library derived from seven data bases, including DrugBank (Wishart et al, 2006), ZINC (Irwin and Shoichet, 2005), National Cancer Institute data base (Milne et al, 1994), etc., identified lead compounds that eventually led to the development of nanomolar inhibitors upon optimization.…”
Section: Sampling Algorithms For Protein-ligand Dockingmentioning
confidence: 99%
“…Pierce et al (2008) used GLIDE to dock approximately 700,000 commercially available compounds and identified four compounds with K i values less than 5 mM. Chiu et al (2009) used SURFLEX to identify novel inhibitors of anthrax toxin lethal factor responsible for anthrax-related cytotoxicity. Docking study of a compound library derived from seven data bases, including DrugBank (Wishart et al, 2006), ZINC (Irwin and Shoichet, 2005), National Cancer Institute data base (Milne et al, 1994), etc., identified lead compounds that eventually led to the development of nanomolar inhibitors upon optimization.…”
Section: Sampling Algorithms For Protein-ligand Dockingmentioning
confidence: 99%
“…Amin and co-workers virtually screened 35 million compounds by “topomeric” shape-based screening, in which compounds were scored by 3D shape similarity to the Merck inhibitor L915 [51]. The 22,133 top scoring hits were then computationally docked onto the LF crystal structure, yielding about 300 compounds scoring better than L915 and predicted to have drug-like properties.…”
Section: Identification Of Lf Inhibitors By Virtual Screeningmentioning
confidence: 99%
“…9 Although these proteins are independently nontoxic, their concerted action disrupts cell signaling events and can lead to cell death. Importantly, lethal factor combines with protective antigen to form the lethal factor toxin.…”
Section: Introductionmentioning
confidence: 99%