The SGC is a global private public partnership focused on understanding the functions of all human proteins. Over the past two decades, we have determined thousands of protein structures, and developed new chemical probes. We are now scaling up these efforts along with the computational community, using artificial intelligence to transform early drug discovery. Explore our work and see how we are accelerating drug discovery through open-access research.
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We have brought together the recommendations of a working group composed of experts from the public and private sectors on how to best benefit from recent advances in AI and how to generate, format and disseminate data to enable future breakthroughs in AI-guided drug discovery.
Read our roadmap online
Our new initiative invites scientists from academia and industry to contribute purified proteins and support large-scale protein-ligand interaction screenings through Affinity Selection Mass Spectrometry (AS-MS) and DNA-encoded chemical libraries (DEL) assays, using industry-standard protocols.
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A data platform intended for sharing and analyzing high-quality datasets of protein-small molecule binding data.
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We have determined more than 4,000 protein structures which have been deposited into public datasets.
Along with our collaborators, we have developed almost two hundred chemical probes for previously under-studied proteins.
All data, reagents and tools generated by SGC are publicly available without any restrictions on their use. Our publications have enabled dozens of drug discovery projects in academia and industry.
With a proven track record of fostering cross-sectorial partnerships, and pioneering initiatives that mobilize the scientific community effectively, we foster a culture of collaboration and open science.
We have determined more than 4,000 protein structures which have been deposited into public datasets.
Along with our collaborators, we have developed almost two hundred chemical probes for previously under-studied proteins.
All data, reagents and tools generated by SGC are publicly available without any restrictions on their use. Our publications have enabled dozens of drug discovery projects in academia and industry.
With a proven track record of fostering cross-sectorial partnerships, and pioneering initiatives that mobilize the scientific community effectively, we foster a culture of collaboration and open science.
New SGC Initiative
MAINFRAME is an international network of machine learning scientists and computational chemists, dedicated to advancing pre-competitive drug discovery research by developing open-source algorithms, and predictive machine learning models of chemical bioactivity. Its collaborative approaches aim to leverage the power of machine learning to transform the way medicines are discovered.
Join the network
