Open Source Drug Discovery
Open Source Drug Discovery is a Council of Scientific and Industrial Research, India -led Team India Consortium with global participation offering a collaborative drug discovery platform for neglected tropical diseases like leishmaniasis, which draw limited attention of research-based pharmaceutical enterprises.
This program has a global community with over 7500 participants from 130 countries comprising researchers, academia, students, industries, educational institutions and so on. Anyone who is committed to the discovery of drugs for neglected diseases in an open source mode can participate in the program. OSDD functions by bringing together experts from diverse backgrounds to focus on discovering and developing affordable drugs for tropical infections.
History
CSIR-OSDD was launched in September 2008. This project was conceived by Samir K. Brahmachari, the Founder Director of the CSIR-Institute of Genomics and Integrative Biology as an 11th Five year plan project of CSIR. This was approved by the Government of India with an overall outlay of Rs 45.96 crores.The project motto is "Affordable healthcare for all" and makes use of open source philosophy, crowd –sourcing concepts and a collaborative research model, capitalizing on web based tools to fuel innovation and discover novel therapies. All the data and resources generated by the community are openly shared through a web based portal called Sysborg 2.0 specifically designed for this purpose
The project has a healthcare model that blends together the policies of patenting and open source research, aiming to make novel drugs available as generic drugs, without Intellectual Property restrictions, and thus ensure affordability and accessibility.
The first action involved development of drugs for tuberculosis bacillus. The project has two phases:
- Phase I which will involve discovery and development of new drugs.
- Phase II which will involve clinical trials.
Process
Operational methodology
The process of drug discovery is divided into ten work packages, namely- WP1 - Drug target identification. This promotes computational activities including Systems Biology research for identification of potential drug targets. It opens participation of academia, institutions and industries with strong inclination towards open source.
- WP2 - Expression of targets. This involves sharing experimental results on potential drug targets and development of assays.
- WP3 - Screen development. This involves the use of specific assays developed for different targets to screen large chemical compound libraries.
- WP4 - In silico docking. This involves determining the target and identification of potential sites on the hit compounds for synthesis of analogs, so that maximum potency and minimum toxicity are achieved.
- WP5 - Micro array gene expression for human cells and tissues with the best inhibitors. This involves identification of compounds with higher binding affinity for the target without altering expression profile of host cell.
- WP6 - Medicinal chemistry. This includes synthesis of improved compounds.
- WP7 - Lead optimization. This is to produce lead compounds with desirable effects while unaffecting the host.
- WP8 - Proteomics based lead affinity column to check for human cellular protein binding
- WP9 - Pre-clinical toxicity of the lead compounds
- WP10 - Clinical development of new molecular entities