If you develop or use software for structure-based drug design or generate data on drug target structures and ligand affinities, you may be interested in the Drug Design Data Resource (D3R) . This is an NIGMS-funded project to collect and share high-quality protein-ligand data sets, develop computer-aided drug design workflows, and engage the community through blind prediction challenges.
The D3R, hosted by the University of California, San Diego, continues a program initiated by NIGMS under the Community Structure-Activity Resource (CSAR) at the University of Michigan. A goal of this program has been to gather previously unpublished data from the pharmaceutical industry and other sources and to make it available for validating and improving software for predicting ligand poses and interaction energies. Several data sets have already been donated by companies, including Genentech, AbbVie, GlaxoSmithKline, and Vertex, as well as by academic groups. Both resources have also generated data sets internally or in collaboration with academia.
The data sets, which contain X-ray crystal structures of protein-ligand complexes and structure/activity data for multiple series of ligands, represent 13 different drug targets, including most recently for HSP90, MAP4K4, and designed steroid and vitamin D binding proteins. D3R has also collected data on host-guest systems and made this data available as part of the SAMPL series of challenges for benchmarking software predictions of “simple” small-molecule chemical properties such as solvation free energy, partition coefficients, and binding to hydrophobic cavities.
Building on the success of its 1st Annual D3R Workshop , in which the 2015 Grand Challenge was discussed and summarized in a report, D3R just announced the 2016 Grand Challenge . It is based on structures of the Farnesoid X receptor (FXR) and runs through February 2, 2017.
The resource also has developed a Continuous Evaluation of Ligand Pose Prediction (CELPP) series of tests in collaboration with the World Wide Protein Databank (wwPDB) and the Research Collaboratory for Structural Bioinformatics (RCSB), another resource supported by NIGMS. The CELPP tests, which are distinct from the Grand Challenge, will provide chemical compound identifiers of bound small molecules in addition to the protein polymer sequence five days before release of 3D coordinates, giving developers an opportunity to predict docked poses each week.
D3R and its predecessor CSAR were developed to meet the needs of the drug design community identified during workshops several years ago. Continued community input and participation, including additional data donations, are important to help D3R fulfill its mission. Data releases can be coordinated with publication in other formats and venues. Contact D3R principal investigators Rommie Amaro and/or Michael Gilson or send email to firstname.lastname@example.org to see how you can be involved.