Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/85496
Type: Artigo de periódico
Title: Cheaper Faster Drug Development Validated By The Repositioning Of Drugs Against Neglected Tropical Diseases
Author: Williams K.
Bilsland E.
Sparkes A.
Aubrey W.
Young M.
Soldatova L.N.
De Grave K.
Ramon J.
De Clare M.
Sirawaraporn W.
Oliver S.G.
King R.D.
Abstract: There is an urgent need to make drug discovery cheaper and faster. This will enable the development of treatments for diseases currently neglected for economic reasons, such as tropical and orphan diseases, and generally increase the supply of new drugs. Here, we report the Robot Scientist 'Eve' designed to make drug discovery more economical. A Robot Scientist is a laboratory automation system that uses artificial intelligence (AI) techniques to discover scientific knowledge through cycles of experimentation. Eve integrates and automates library-screening, hit-confirmation, and lead generation through cycles of quantitative structure activity relationship learning and testing. Using econometric modelling we demonstrate that the use of AI to select compounds economically outperforms standard drug screening. For further efficiency Eve uses a standardized form of assay to compute Boolean functions of compound properties. These assays can be quickly and cheaply engineered using synthetic biology, enabling more targets to be assayed for a given budget. Eve has repositioned several drugs against specific targets in parasites that cause tropical diseases. One validated discovery is that the anti-cancer compound TNP-470 is a potent inhibitor of dihydrofolate reductase from the malaria-causing parasite Plasmodium vivax.
Editor: Royal Society of London
Rights: fechado
Identifier DOI: 10.1098/rsif.2014.1289
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84923260810&partnerID=40&md5=f5eebcf4583f7b6b609918591a213e47
Date Issue: 2015
Appears in Collections:Unicamp - Artigos e Outros Documentos

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