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Current Topics in Medicinal Chemistry

Volume 11 Issue 10
ISSN: 1568-0266
eISSN: 1873-5294

 

   All Titles

  Rapid Analysis of Pharmacology for Infectious Diseases
  pp.1292-1300 (9) Authors: Andrew L. Hopkins, G. Richard Bickerton, Ian M. Carruthers, Stephen K. Boyer, Harvey Rubin, John P. Overington
 
 
      Abstract

Pandemic, epidemic and endemic infectious diseases are united by a common problem: how do we rapidly and cost-effectively identify potential pharmacological interventions to treat infections? Given the large number of emerging and neglected infectious diseases and the fact that they disproportionately afflict the poorest members of the global society, new ways of thinking are required to develop high productivity discovery systems that can be applied to a large number of pathogens. The growing availability of parasite genome data provides the basis for developing methods to prioritize, a priori potential drug targets and analyze the pharmacological landscape of an infectious disease. Thus the overall objective of infectious disease informatics is to enable the rapid generation of plausible, novel medical hypotheses of testable pharmacological experiments, by uncovering undiscovered relationships in the wealth of biomedical literature and databases that were collected for other purposes. In particular our goal is to identify potential drug targets present in a pathogen genome and prioritize which pharmacological experiments are most likely to discover drug-like lead compounds rapidly against a pathogen (i.e. which specific compounds and drug targets should be screened, in which assays and where they can be sourced). An integral part of the challenge is the development and integration of methods to predict druggability, essentiality, synthetic lethality and polypharmocology in pathogen genomes, while simultaneously integrating the inevitable issues of chemical tractability and the potential for acquired drug resistance from the start.

 
  Keywords: Chemogenomics, target identification, druggable genome, Pandemic, epidemic and endemic infectious diseases, parasite genome data, priori potential, biomedical literature, pharmacological experiments, druggability, chemical tractability, acquired drug resistance, trypanosomiasis, lymphatic filariasis, onchocerciasis, schistosomiasis
  Affiliation: Division of Biological Chemistry and Drug Discovery, College of Life Sciences, University of Dundee, Dow Street, Dundee, DD1 5EH, UK.
 
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