CDithem Platform IGM

Paris, France

CDithem Platform IGM

Paris, France

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Charton J.,French Institute of Health and Medical Research | Charton J.,University of Lille Nord de France | Charton J.,Institute Pasteur Of Lille | Gauriot M.,French Institute of Health and Medical Research | And 42 more authors.
European Journal of Medicinal Chemistry | Year: 2014

Insulin degrading enzyme (IDE) is a highly conserved zinc metalloprotease that is involved in the clearance of various physiologically peptides like amyloid-beta and insulin. This enzyme has been involved in the physiopathology of diabetes and Alzheimer's disease. We describe here a series of small molecules discovered by screening. Co-crystallization of the compounds with IDE revealed a binding both at the permanent exosite and at the discontinuous, conformational catalytic site. Preliminary structure-activity relationships are described. Selective inhibition of amyloid-beta degradation over insulin hydrolysis was possible. Neuroblastoma cells treated with the optimized compound display a dose-dependent increase in amyloid-beta levels. © 2014 Elsevier Masson SAS. All rights reserved.

Maingot L.,University of Lille Nord de France | Maingot L.,Institute Pasteur Of Lille | Leroux F.,University of Lille Nord de France | Leroux F.,Institute Pasteur Of Lille | And 13 more authors.
Bioorganic and Medicinal Chemistry Letters | Year: 2010

In this Letter we describe the design, synthesis, screening, and optimization of a new family of ADAMTS-5 inhibitors. These inhibitors display an original 1,2,4-triazole-3-thiol scaffold as a putative zinc binding-group. In vitro results are rationalized by in silico docking of the compounds in ADAMTS-5's crystal structure. © 2010 Elsevier Ltd. All rights reserved.

Maingot L.,French Institute of Health and Medical Research | Maingot L.,University of Lille Nord de France | Maingot L.,Institute Pasteur Of Lille | Elbakali J.,French Institute of Health and Medical Research | And 31 more authors.
European Journal of Medicinal Chemistry | Year: 2013

Osteoarthritis is a disabling disease characterized by the articular cartilage breakdown. Aggrecanases are potential therapeutic targets for the treatment of this pathology. At the starting point of this project, an acylthiosemicarbazide was discovered to inhibit aggrecanase-2. The acylthiosemicarbazide Zn binding group is also a convenient linker for library synthesis. A focused library of 920 analogs was thus prepared and screened to establish structure-activity relationships. The modification of the acylthiosemicarbazide was also explored. This strategy combining library design and discrete compounds synthesis yielded inhibitor 35, that is highly selective for aggrecanases over a panel of metalloproteases and inhibits the degradation of native fully glycosylated aggrecan. A docking study generated binding conformations explaining the structure-activity relationships. © 2013 Elsevier Masson SAS. All rights reserved.

Reynes C.,University Paris Diderot | Host H.,CDithem Platform IGM | Host H.,French Institute of Health and Medical Research | Host H.,Lille 2 University of Health and Law | And 14 more authors.
PLoS Computational Biology | Year: 2010

Protein-protein interactions (PPIs) may represent one of the next major classes of therapeutic targets. So far, only a minute fraction of the estimated 650,000 PPIs that comprise the human interactome are known with a tiny number of complexes being drugged. Such intricate biological systems cannot be cost-efficiently tackled using conventional high-throughput screening methods. Rather, time has come for designing new strategies that will maximize the chance for hit identification through a rationalization of the PPI inhibitor chemical space and the design of PPI-focused compound libraries (global or target-specific). Here, we train machine-learning-based models, mainly decision trees, using a dataset of known PPI inhibitors and of regular drugs in order to determine a global physico-chemical profile for putative PPI inhibitors. This statistical analysis unravels two important molecular descriptors for PPI inhibitors characterizing specific molecular shapes and the presence of a privileged number of aromatic bonds. The best model has been transposed into a computer program, PPI-HitProfiler, that can output from any drug-like compound collection a focused chemical library enriched in putative PPI inhibitors. Our PPI inhibitor profiler is challenged on the experimental screening results of 11 different PPIs among which the p53/MDM2 interaction screened within our own CDithemplatform, that in addition to the validation of our concept led to the identification of 4 novel p53/MDM2 inhibitors. Collectively, our tool shows a robust behavior on the 11 experimental datasets by correctly profiling 70% of the experimentally identified hits while removing 52% of the inactive compounds from the initial compound collections. We strongly believe that this new tool can be used as a global PPI inhibitor profiler prior to screening assays to reduce the size of the compound collections to be experimentally screened while keeping most of the true PPI inhibitors. PPI-HitProfiler is freely available on request from our CDithem platform website, © 2010 Reynès et al.

PubMed | CDithem Platform IGM
Type: Journal Article | Journal: Drug discovery today | Year: 2010

Protein-protein interactions (PPIs) are one of the next major classes of therapeutic targets, although they are too intricate to tackle with standard approaches. This is due, in part, to the inadequacy of todays chemical libraries. However, the emergence of a growing number of experimentally validated inhibitors of PPIs (i-PPIs) allows drug designers to use chemoinformatics and machine learning technologies to unravel the nature of the chemical space covered by the reported compounds. Key characteristics of i-PPIs can then be revealed and highlight the importance of specific shapes and/or aromatic bonds, enabling the design of i-PPI-enriched focused libraries and, therefore, of cost-effective screening strategies.

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