Literature DB >> 25751268

Recent developments with metalloprotease inhibitor class of drug candidates for botulinum neurotoxins.

Gyanendra Kumar, Subramanyam Swaminathan1.   

Abstract

Botulinum Neurotoxins are the most poisonous of all toxins with lethal dose in nanogram quantities. They are potential biological warfare and bioterrorism agents due to their high toxicity and ease of preparation. On the other hand BoNTs are also being increasingly used for therapeutic and cosmetic purposes, and with that the chances of accidental overdose are increasing. And despite the potential damage they could cause to human health, there are no post-intoxication drugs available so far. But progress is being made in this direction. The crystal structures in native form and bound with substrate peptides have been determined, and these are enabling structure-based drug discovery possible. High throughput assays have also been designed to speed up the screening progress. Substrate-based and small molecule inhibitors have been identified. But turning high affinity inhibitors into clinically viable drug candidates has remained a challenge. We discuss here the latest developments and the future challenges in drug discovery for Botulinum neurotoxins.

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Year:  2015        PMID: 25751268     DOI: 10.2174/1568026615666150309150338

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  2 in total

1.  Discovery of Dipeptides as Potent Botulinum Neurotoxin A Light-Chain Inhibitors.

Authors:  Martin Amezcua; Ricardo S Cruz; Alex Ku; Wilfred Moran; Marcos E Ortega; Nicholas T Salzameda
Journal:  ACS Med Chem Lett       Date:  2021-01-27       Impact factor: 4.345

2.  A Novel Running Wheel Mouse Model for Botulism and Its Use for the Evaluation of Postsymptom Antitoxin Efficacy.

Authors:  Arieh Schwartz; Alon Ben David; Mordechai Hotoveli; Eyal Dor; Eran Diamant; Arik Vivyorka; Osnat Rosen; Amram Torgeman; Ran Zichel
Journal:  Antimicrob Agents Chemother       Date:  2021-07-16       Impact factor: 5.191

  2 in total

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