Collaborative drug discovery for More Medicines for Tuberculosis (MM4TB)

• There is increasing focus on collaboration and precompetitive efforts such as public–private partnerships (PPPs).
• We describe the More Medicines For Tuberculosis project and the role of collaborative software.
• We describe how different cheminformatics tools were used to identify compounds for testing against multiple targets.
• We review the literature on how machine learning approaches have been applied to tuberculosis.
• We propose how collaborative tools will develop in future.

Neglected disease drug discovery is generally poorly funded compared with major diseases and hence there is an increasing focus on collaboration and precompetitive efforts such as public–private partnerships (PPPs). The More Medicines for Tuberculosis (MM4TB) project is one such collaboration funded by the EU with the goal of discovering new drugs for tuberculosis. Collaborative Drug Discovery has provided a commercial web-based platform called CDD Vault which is a hosted collaborative solution for securely sharing diverse chemistry and biology data. Using CDD Vault alongside other commercial and free cheminformatics tools has enabled support of this and other large collaborative projects, aiding drug discovery efforts and fostering collaboration. We will describe CDD's efforts in assisting with the MM4TB project.