Table 3 Community contributions
From: Protein–ligand data at scale to support machine learning
Project stage | Primary Actors | Community Contribution Opportunities |
|---|---|---|
Target selection | Project participants, funders | Nominate targets |
Protein production and assays | Experimental protein production hubs | Provide purified protein (academia, pharma, contract research organizations), protocols, tools, vectors |
Screens | Experimental screening hubs | Companies or academic labs provide access to screening technologies and libraries |
Experimental testing of predictions | Experimental assay hubs | Specialized contract research organizations, pharma and academic labs conduct orthogonal assays to test predictions for selected targets |
Data management | Artificial Intelligence-Ready CHEmiCal Knowledge base (AIRCHECK), cloudservices providers | Cloud providers offer cloud credits, community deposit data |
machine learning (ML)/artificial intelligence (AI) models and predictions | Project participants | ML/AI community, academic labs, subject matter experts generate and share predictions and models |
Hit optimization and chemical probe generation | Scientific community | Structural Genomics Consortium, pharma and academic labs provide resources or donate high-quality probes |
