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In Silico Models for Drug Discovery

Overview of attention for book
Attention for Chapter 15: Designing Novel Inhibitors of Trypanosoma brucei.
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Chapter title
Designing Novel Inhibitors of Trypanosoma brucei.
Chapter number 15
Book title
In Silico Models for Drug Discovery
Published in
Methods in molecular biology, March 2013
DOI 10.1007/978-1-62703-342-8_15
Pubmed ID
Book ISBNs
978-1-62703-341-1, 978-1-62703-342-8
Authors

Özlem Demir, Rommie E. Amaro, Demir O, Amaro RE

Editors

Sandhya Kortagere

Abstract

Computational simulations of essential biological systems in pathogenic organisms are increasingly being used to reveal structural and dynamical features for targets of interest. At the same time, increased research efforts, especially from academia, have been directed toward drug discovery for neglected tropical diseases. Although these diseases cripple large populations in less fortunate parts of the world, either very few new drugs are being developed or the available treatments for them have severe side effects, including death. This chapter walks readers through a computational investigation used to find novel inhibitors to target one of these neglected diseases, African sleeping sickness (human African trypanosomiasis). Such studies may suggest novel small-molecule compounds that could be considered as part of an early-stage drug discovery effort. As an example target protein of interest, we focus on the essential protein RNA-editing ligase 1 (REL1) in Trypanosoma brucei, the causative agent of human African trypanosomiasis.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Professor 3 19%
Student > Master 3 19%
Student > Bachelor 2 13%
Student > Postgraduate 2 13%
Other 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 25%
Chemistry 4 25%
Medicine and Dentistry 4 25%
Biochemistry, Genetics and Molecular Biology 1 6%
Chemical Engineering 1 6%
Other 0 0%
Unknown 2 13%