3D/2D Mining the PDB is worth
(more than 125,000 3D experimental macromolecular structures)
FcBioisostere / MED-SuMo are a unique software package to convert observed 3D binding-pocket similarities in bioisostere replacement rules

FC-Bioisostere GUI

Replace substructures in your molecule of interest by equivalent chemical moieties in few clicks to optimize the pharmacokinetic profile:

FcBioisostere opens access to 3D bioisosteric replacement onto your molecule of interest to find chemical groups having similar 3D biological interactions. While maintaining target potencies, it helps Chemists to optimize additional properties in pharmacokinetics and metabolic response, and/or to escape from existing patents by selecting alternative equivalent chemical groups.


FcBioisostere, a 2 step software application:

First, users can automatically build a database of 3D bioisosteres :
Second, the input molecule of interest is deconvoluted and/or splitted in fragments (6 methods are available). Once fragments to be replaced are selected, all fitting replacement pairs of fragment are retrieved from the database. Different methods to merge/fuse those fragments into the input molecule are provided to generate full bioisosteres. 1D/2D/3D chemical and protein scoring filters help to sort/focus on the best bioisostere candidates.

Please look at the FC-Bioisostere workflow


Main features:

MEDIT is a distributor to the FcBioisostere software developed by Felix Concordia SARL company. We recommand to use MED-SuMo for binding site superpositions to generate innovative set of Bioisosteric chemical pairs in FcBioisostere.

A C2P component:

On December 1st 2011, MEDIT and Felix Concordia have launched the C2P Chemo-Protein Platform initiative to provide a complete solution for cross-mining altogether biostructural, structure-activities, and chemical libraries data.

C2P already includes : (a) MED-SuMo (from MEDIT) to detect/superpose 3D protein surface interactions, (b) MEDP-Fragmentor (from MEDIT) to deconvolute protein-ligand structure in pocket-fragment interactions, (c) MED-Hybridise (from MEDIT) to 3D combine fragments (d) MEDP-SiteClassifier (from MEDIT) to navigate in all intra-familly/inter-family binding site similarities across the whole PDB, (e) FcLigand (from FelixConcordia) to explore 1D/2D/3D ligand/fragment similarities, (f) FcBioisostere (from FelixConcordia) to better profile your compound with bioisosteric local replacement, and the C2P-API open source advanced programming interface.


See more in:

FC-Bioisostere case study
FC-Bioisostere workflow
FC-Bioisostere brochure