A kernel for open source drug discovery in tropical diseases.

Conventional patent-based drug development incentives work badly for the developing world, where commercial markets are usually small to non-existent. For this reason, the past decade has seen extensive experimentation with alternative R&D institutions ranging from private-public partnerships to...

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Bibliographic Details
Published in:PLoS Neglected Tropical Diseases
Main Authors: Leticia Ortí, Rodrigo J Carbajo, Ursula Pieper, Narayanan Eswar, Stephen M Maurer, Arti K Rai, Ginger Taylor, Matthew H Todd, Antonio Pineda-Lucena, Andrej Sali, Marc A Marti-Renom
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2009
Subjects:
Online Access:https://doi.org/10.1371/journal.pntd.0000418
https://doaj.org/article/d675c07281044f6195bfb6c6c5def459
Description
Summary:Conventional patent-based drug development incentives work badly for the developing world, where commercial markets are usually small to non-existent. For this reason, the past decade has seen extensive experimentation with alternative R&D institutions ranging from private-public partnerships to development prizes. Despite extensive discussion, however, one of the most promising avenues-open source drug discovery-has remained elusive. We argue that the stumbling block has been the absence of a critical mass of preexisting work that volunteers can improve through a series of granular contributions. Historically, open source software collaborations have almost never succeeded without such "kernels".HERE, WE USE A COMPUTATIONAL PIPELINE FOR: (i) comparative structure modeling of target proteins, (ii) predicting the localization of ligand binding sites on their surfaces, and (iii) assessing the similarity of the predicted ligands to known drugs. Our kernel currently contains 143 and 297 protein targets from ten pathogen genomes that are predicted to bind a known drug or a molecule similar to a known drug, respectively. The kernel provides a source of potential drug targets and drug candidates around which an online open source community can nucleate. Using NMR spectroscopy, we have experimentally tested our predictions for two of these targets, confirming one and invalidating the other.The TDI kernel, which is being offered under the Creative Commons attribution share-alike license for free and unrestricted use, can be accessed on the World Wide Web at http://www.tropicaldisease.org. We hope that the kernel will facilitate collaborative efforts towards the discovery of new drugs against parasites that cause tropical diseases.