COMPOUND PROPERTY CALCULATION & REMOVAL OF UNDESIRABLES
FILTER
FILTER is a very fast molecular filtering and selection application. It uses a combination of physical property calculations and functional group knowledge to remove undesirable compounds before they enter experimental or virtual screening.
Undesirable properties may include: toxic functionalities, a high likelihood of binding covalently with the target protein, interfering with the experimental assay, and/or a low probability of oral bioavailability.
Eliminating unwanted molecules before the use of modeling applications will, in turn, substantially increase the positive predictive value of these tools, and significantly reduce their processing time.
For more detailed information on FILTER, please click below:
DocumentationFeatures
- Uses predefined filter files - text files that can be easily customized
- Filters based upon calculated properties such as: MW, XlogP [1], XlogS, PSA [2], hydrogen bond donor and acceptor count, rotatable bonds, ring size and number, etc.
- Removes or retains molecules based upon pre-defined or user-defined substructures
- Assigns graph-based protonation state for consistency and speed
- Offers ADME filters such as Lipinski [3], Egan [4], Veber [5] and Martin [6]
- Removes compounds with impossible bonding and inappropriate elements
- Generates tab-separated files suitable for import into spreadsheets
- Processes 400 mol/sec
References
- A New Atom-Additive Method for Calculating Partition Coefficients Wang, R., Ying, F., and Lai, L., J. Chem. Inf. Comput. Sci., 1997, 37, 615.
- Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties Ertl, P., Rohde, B., and Selzer, P., J. Med. Chem., 2000, 43, 3714.
- Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings Lipinski, C., et al., Adv. Drug Deliv. Rev., 1997, 23, 3.
- Prediction of drug absorption using multivariate statistics Egan, W.J., Merz, K.M., Baldwin, J.J., J. Med. Chem., 2000, 43, 3867.
- Molecular Properties That Influence the Oral Bioavailability of Drug Candidates Veber, D.F., Johnson, S.R., Cheng, H.Y., Smith, B.R., Ward, K.W., Kipple, K.D., J. Med. Chem., 2002, 45, 2615.
- A bioavailability score Martin, Y.C., J. Med. Chem., 2005, 48, 3164.
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miniCUP San Francisco 2024
BAGIM Holiday Event
miniCUP Boston 2024
OpenEye Releases Additional Virtual Screening COVID-19 Data to Public
Accelerating Similarity and Substructure Searches
miniWebinar: Opening up the druggable universe one cryptic pocket at a time
CUP XXIV - Santa Fe March 4-6, 2025
Essentials of Computational Drug Discovery | Sep-Dec 2024
Easier is Better
Relative Binding Free Energy with Non-Equilibrium Switching in Orion
OpenEye deploys the Orion platform to find COVID-19 therapeutics
Conversations at CUP: Paul Hawkins & John D. Chodera
Conversations at CUP: Geoff Skillman & Charlotte Deane
CCDC’s GOLD Now Available on Orion®
Conversations at CUP: Anthony Nicholls & Christian Cortis
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