EON
Discover new chemical series (lead-hopping) that 2D similarity searches overlook. EON screens molecular databases for electrostatic similarity to a lead compound, using Tanimoto measures derived from molecular electrostatic potential maps. Because electrostatic potential is not strongly tied to molecular graph topology, structurally diverse compounds with matching electronic profiles rise to the top.
EON handles 3D molecular alignment and scoring internally using shape and charge density similarity, so no pre-aligned input is required. Results can be further refined by rescoring alignments with combined shape and electrostatic potential similarity, giving researchers flexibility at multiple stages of a hit identification workflow.
In particular, the electrostatic comparison program EON has shown promise in identifying leads and tool compounds… -- Boström et al. (J. Med. Chem. 2013)
Features
- Identifies molecules with high electrostatic similarity.
- Reports rigorous Tanimoto measure between electrostatic grids.
- Offers various charge models or use with user-defined models.
- Distributed processing via MPI for all supported platforms.
- Available as an application, a toolkit, and on the cloud.
EON works as a standalone screening tool and as a complement to shape-based search results from programs such as ROCS, making it applicable across a range of lead generation and library design scenarios.
EON has been applied successfully across lead generation and library design. In a published study, Abbott scientists reported that EON's post-processing of ROCS hits helped them lead-hop a MCH-1 series that had demonstrated in vivo potency issues [1]. In a chemical genomics project directed toward antagonists for NAADP, EON was used in complement to ROCS to identify a low nanomolar binder to the NAADP receptor [2].
References
- The Use of Three-Dimensional Shape and Electrostatic Similarity Searching in the Identification of a Melanin-Concentrating Hormone Receptor 1 Antagonist S. Muchmore, A. J. Souers, I. Akritopoulou-Zanze, Chem. Biol. Drug Des., 2006, 67, 174.
- Identification of a chemical probe for NAADP by virtual screening E. Naylor, A. Arredouani, S.R. Vasudevan, A.M. Lewis, R. Parkesh, A. Mizote, D. Rosen, J.M. Thomas, M. Izumi, A. Ganesan, A. Galione and G.C. Churchill, Nature Chemical Biology, 2009, 5, 280-292.
- Potent Fibrinolysis Inhibitor Discovered by Shape and Electrostatic Complementarity to the Drug Tranexamic Acid Jonas Boström, J. Andrew Grant, Ola Fjellström, Anders Thelin, David Gustaffson, J. Med Chem., 2013, 56, 3273-3280.
Webinar: Own Your Own Target with Target X
Webinar: Improving the Core: Not Resting on Our Laurels
Webinar: Too Hot, Too Cold, or Past Midnight? Statistical Considerations in Lead Optimization from Goldilocks & Cinderella
Webinar: AI For Drug Discovery
Webinar: Modular Molecular Modeling
Webinar: Exploring the Uncharted: Discovery at Trillion-Scale with ROCS X
Resources
View Our Recent Webinars
On Demand Webinars
Webinar: Target X: An Unobstructed View of Pockets
On Demand Webinars
Webinar: Own Your Own Target with Target X