scispace - formally typeset
L

Lorraine D. Hernandez

Researcher at Merck & Co.

Publications -  13
Citations -  1464

Lorraine D. Hernandez is an academic researcher from Merck & Co.. The author has contributed to research in topics: Bezlotoxumab & Clostridium difficile toxin B. The author has an hindex of 9, co-authored 13 publications receiving 1353 citations.

Papers
More filters
Journal ArticleDOI

Discovery of platencin, a dual FabF and FabH inhibitor with in vivo antibiotic properties.

TL;DR: Platencin shows potent in vivo efficacy without any observed toxicity, emphasizing the fact that more antibiotics with novel structures and new modes of action can be discovered by using this antisense differential sensitivity whole-cell screening paradigm.
Journal ArticleDOI

Mechanism of Action and Epitopes of Clostridium difficile Toxin B-neutralizing Antibody Bezlotoxumab Revealed by X-ray Crystallography.

TL;DR: The data provided a molecular basis for neutralization by this clinically important antibody and are consistent with a model wherein a single molecule of bezlotoxumab neutralizes TcdB by binding via its two Fab regions to two epitopes within the N-terminal half of the TCDB CROP domain, partially blocking the carbohydrate binding pockets of the toxin and preventing toxin binding to host cells.
Journal ArticleDOI

Mechanisms of Protection against Clostridium difficile Infection by the Monoclonal Antitoxin Antibodies Actoxumab and Bezlotoxumab

TL;DR: It is shown that the antitoxin antibodies are protective in multiple murine models of CDI, including systemic and local (gut) toxin challenge models, as well as primary and recurrent models of infection in mice, providing a mechanistic basis for the prevention of recurrent disease observed in CDI patients in clinical trials.
Journal ArticleDOI

Broad coverage of genetically diverse strains of Clostridium difficile by actoxumab and bezlotoxumab predicted by in vitro neutralization and epitope modeling.

TL;DR: Combined with in vitro neutralization data, epitope modeling will enhance the ability to predict the coverage of new and emerging strains by actoxumab-bezlotoxumAB in the clinic.