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 describe the Target 2035 roadmap to develop computational methods to improve small-molecule hit discovery, which is a key bottleneck in the discovery of chemical probes.
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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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More than just a database
An open, cloud-based platform that provides the high-quality, structured data AI needs to accelerate drug discovery. AIRCHECK helps researchers train and improve AI models to predict how small molecules interact with proteins.
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A new international network of machine learning researchers, computational chemists, and data scientists. Membership is free and provides access to curated datasets for model testing and benchmarking.
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Participate in Open Benchmarking Challenges
Target 2035 collaborates with BEACON, the new benchmarking super-consortium comprising CACHE, DREAM, CASP, OpenADMET, to provide a platform for computational scientists to benchmark hit-finding algorithms in real world settings, with experimental testing of model predictions.
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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.
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.
A pharmacological tool for every human protein
Target 2035 connects experimental and computational scientists around a shared goal: unlocking the human proteome through open science. From contributing proteins and generating data to building models and testing predictions, progress depends on a global community working together.
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