The most important technical requirement for inclusion of a potential target into the list will be the availability of two cost-effective direct binding assays that can provide rapid, validated, high-quality experimental feedback. From this list of targets that meet technical requirements, CACHE and its funders will select the final targets using a prioritization scheme that maximizes the structural diversity of the target proteins, and ideally that also takes into account the opportunity to discover new biological insights, so that CACHE outputs benefit not only the computational and pharmaceutical communities. We anticipate that a funder (such as a disease-focused charity) would consider CACHE as an attractive funding opportunity through the mobilization of a wide global network of computational chemists to focus on their priority target(s) (FIG. ). We also imagine that, in lieu of providing direct support, funders, foundations, or companies might also offer in-kind support for CACHE, for example, by offering to experimentally test all predictions for a given target, or providing access to computational resources, assay reagents, or laboratory equipment. Ideally, for each of the 5 scenarios, CACHE will have the resources to pursue at least 3 different targets at a time.