Notwithstanding well-known algorithmic weaknesses, molecular docking screens have had important successes in recent years, and are now the most practical technique to leverage structure for ligand discovery. Unfortunately, barriers to entry have largely restricted the techniques to experts and their collaborators. Docking databases are expensive to acquire, require considerable manipulation, and the software is byzantine. This has diminished the impact of the technique and limited the sorts of problems to which it can be applied. We propose to develop tools and databases that will bring docking to a broad audience, in the spirit of BLAST, and allow its application to new questions.
The specific aims are;
Aim 1. To build a public docking service as a research tool. 1. Develop public databases suitable for docking: a. A database of 500,000 commercially available, """"""""drug-like"""""""" compounds, b. A database of annotated metabolites. 2. Develop an interface to allow non-experts to screen these databases against target structures. 3. Develop scripts to completely automate the docking procedure. 4. Develop a computational platform to distribute the calculations.
Aim 2. To create web-based analysis tools including a database of top scoring ligands. 1. Develop automated, interactive, visually rich and intuitive tools to analyze docking results: a. A results browser to facilitate prioritizing top scoring hits for purchasing and testing, b. Links to molecular graphics viewers to examine docked poses, c. Enrichment plots to illustrate the degree to which lists of known ligands score well, d. High level summaries, digests and statistics of docking calculations required for monitoring and diagnosing thousands of high-throughput automatic calculations. 2. Develop a database of top scoring docked ligands for over 1000 protein binding sites of both known and unknown function. Make this database available on the web. 3. Develop web-based tools to compare top scoring hit lists between pairs of binding sites. Extensive preliminary results suggest that these aims are feasible.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM071896-04
Application #
7262978
Study Section
Special Emphasis Panel (ZRG1-BST-D (50))
Program Officer
Preusch, Peter C
Project Start
2004-08-01
Project End
2009-04-30
Budget Start
2007-08-01
Budget End
2009-04-30
Support Year
4
Fiscal Year
2007
Total Cost
$254,377
Indirect Cost
Name
University of California San Francisco
Department
Pharmacology
Type
Schools of Pharmacy
DUNS #
094878337
City
San Francisco
State
CA
Country
United States
Zip Code
94143
Irwin, John J; Gaskins, Garrett; Sterling, Teague et al. (2018) Predicted Biological Activity of Purchasable Chemical Space. J Chem Inf Model 58:148-164
Maciejewski, Mateusz; Lounkine, Eugen; Whitebread, Steven et al. (2017) Reverse translation of adverse event reports paves the way for de-risking preclinical off-targets. Elife 6:
O'Meara, Matthew J; Ballouz, Sara; Shoichet, Brian K et al. (2016) Ligand Similarity Complements Sequence, Physical Interaction, and Co-Expression for Gene Function Prediction. PLoS One 11:e0160098
Farrell, Martilias S; McCorvy, John D; Huang, Xi-Ping et al. (2016) In Vitro and In Vivo Characterization of the Alkaloid Nuciferine. PLoS One 11:e0150602
Irwin, John J; Shoichet, Brian K (2016) Docking Screens for Novel Ligands Conferring New Biology. J Med Chem 59:4103-20
Sterling, Teague; Irwin, John J (2015) ZINC 15--Ligand Discovery for Everyone. J Chem Inf Model 55:2324-37
Barelier, Sarah; Sterling, Teague; O'Meara, Matthew J et al. (2015) The Recognition of Identical Ligands by Unrelated Proteins. ACS Chem Biol 10:2772-84
Huang, Xi-Ping; Karpiak, Joel; Kroeze, Wesley K et al. (2015) Allosteric ligands for the pharmacologically dark receptors GPR68 and GPR65. Nature 527:477-83
Yee, Sook Wah; Lin, Lawrence; Merski, Matthew et al. (2015) Prediction and validation of enzyme and transporter off-targets for metformin. J Pharmacokinet Pharmacodyn 42:463-75
Pimentel-Elardo, Sheila M; Sørensen, Dan; Ho, Louis et al. (2015) Activity-Independent Discovery of Secondary Metabolites Using Chemical Elicitation and Cheminformatic Inference. ACS Chem Biol 10:2616-23

Showing the most recent 10 out of 43 publications