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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:

Documentation

filter-1

Removing undesirable compounds early makes the downstream processes significantly more efficient; a simple concept that is too often ignored.

Features

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.

Resources

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miniWebinar: Opening up the druggable universe one cryptic pocket at a time

In our first miniWEBINAR of 2025 we were talking about a computational workflow to validate difficult-to-drug protein targets in "Opening up the druggable universe one cryptic pocket at a time" session presented by David LeBard, Head of Enhanced Sampling at OpenEye, Cadence Molecular Sciences,

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miniWebinar | Shape and color: A unifying principle for modeling molecules

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miniWebinar: Faster, Larger, Smarter: Filling the Funnel for Ultra-Large Scale Virtual Screening

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