DDH2020 vision and mission is to establish ‘Open innovation Model’ for in silico drug discovery against Covid-19 virus and will cover the various processes in drug discovery, including but not limited to, in silico screening of molecules, lead optimization and identification of drug-able non-toxic targets. The targets/tools/lead molecules identified through the process of DDH2020 will be further taken forward for synthesis followed by subsequent steps in routine drug discovery program.
DDH2020 is a joint initiative of AICTE, CSIR and supported by Office of Principal Scientific Advisor, Govt. of India, NIC and MyGov.
DDH2020 enables competing and subsequently sharing drug discovery, information, including but not limited to, ideas, articles, papers and other literary work, data, software, applications, notes, results of experiments, patented inventions, confidential information and other materials (hereafter referred to as Information) submitted by the users.
Given the complex nature of SARS-CoV-2 infections that are still being understood, collective intelligence must be applied to address this global pandemic, especially in identifying drugs against Covid-19. It is time that we utilize the strength of young bright minds across the world to identify solutions to address this global scourge. This will not only lead to the identification of potential SARS-CoV-2 drugs but in the process will lead to the generation of a large community of researchers with skills in data analysis and management in drug discovery.
Currently, India has more than 15 lakhs students & faculty in the field of computer sciences, pharmaceutical sciences, and biotechnology spread across 3000+ colleges and universities. We also have a large number of scientists working in research organizations, industries, and start-ups in the field of machine learning, artificial intelligence, drug discovery, in silico chemistry, and big data analytics which can contribute to this endeavour. This wide network of researchers will go a long way to address pandemic and outbreak situations across the world.
Objectives
Identification of drug candidates that are effective against coronavirus SARS-CoV-2- by employing a for in-silico drug discovery, followed up by chemical synthesis and biological testing.
Methodology
The will have three major tracks:
- Track-1 primarily deals with drug design for anti-COVID-19 hit/lead molecule generation using tools such as molecular modelling, pharmacophore optimization, molecular docking, hit/lead optimization, etc.
- Track-2 deals with designing/optimizing new tools and algorithms having immense impact on expediting the process of in silico drug discovery. Novel or refined tools/algorithms from Track-2 will help develop better models for predicting ADMET in silico, thus improving screening efficiency.
- Track-3 Involves moon-shot entries
ANNOUNCMENTS
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