Teach-Discover-Treat (TDT): Collaborative computational drug discovery for neglected diseases
Journal
Journal of Molecular Graphics and Modelling
Journal Volume
38
Pages
360-362
Date Issued
2012
Author(s)
Abstract
Teach-Discover-Treat (TDT) is an initiative to promote the development and sharing of computational tools solicited through a competition with the aim to impact education and collaborative drug discovery for neglected diseases. Collaboration, multidisciplinary integration, and innovation are essential for successful drug discovery. This requires a workforce that is trained in state-of-the-art workflows and equipped with the ability to collaborate on platforms that are accessible and free. The TDT competition solicits high quality computational workflows for neglected disease targets, using freely available, open access tools. ? 2012 Elsevier Inc.
Subjects
Computational tools; Computational workflows; Drug discovery; Neglected diseases; Teach-Discover-Treat
Other Subjects
Molecular graphics; Physical chemistry; Computational tools; Computational workflows; Drug discovery; High quality; Neglected disease; Open Access; State of the art; Work-flows; Computational methods; analytic method; binding kinetics; crystal structure; drug research; high throughput screening; inhibition kinetics; malaria; molecular library; morning sickness; neglected disease; priority journal; review; structure activity relation; structure analysis; synthesis; teach discover treat
Type
journal article
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