Optimizing TRPM4 inhibitors in the MHFP6 chemical space

We recently reported 4-chloro-2-(2-chlorophenoxy)acetamido)benzoic acid (CBA) as the first potent inhibitor of TRPM4, a cation channel implicated in cardiac diseases and prostate cancer. Herein we report a structure-activity relationship (SAR) study of CBA resulting in two new potent analogs. To des...

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Published in:European journal of medicinal chemistry Vol. 166; pp. 167 - 177
Main Authors: Delalande, Clémence, Awale, Mahendra, Rubin, Matthias, Probst, Daniel, Ozhathil, Lijo C., Gertsch, Jürg, Abriel, Hugues, Reymond, Jean-Louis
Format: Journal Article
Language:English
Published: France Elsevier Masson SAS 15-03-2019
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Summary:We recently reported 4-chloro-2-(2-chlorophenoxy)acetamido)benzoic acid (CBA) as the first potent inhibitor of TRPM4, a cation channel implicated in cardiac diseases and prostate cancer. Herein we report a structure-activity relationship (SAR) study of CBA resulting in two new potent analogs. To design and interpret our SAR we used interactive color-coded 3D-maps representing similarities between compounds calculated with MHFP6 (MinHash fingerprint up to six bonds), a new molecular fingerprint outperforming other fingerprints in benchmarking virtual screening studies. We further illustrate the general applicability of our method by visualizing the structural diversity of active compounds from benchmarking sets in relation to decoy molecules and to drugs. MHFP6 chemical space 3D-maps might be generally helpful in designing, interpreting and communicating the results of SAR studies. The modified WebMolCS is accessible at http://gdb.unibe.ch and the code is available at https://github.com/reymond-group/webMolCS for off-line use. [Display omitted] •In this paper we show how to use interactive MHFP6 chemical space 3D-maps to design and understand SAR studies.•We exemplify our method with an SAR study reporting new TRPM4 inhibitors.•The WebMolCS tool used to create 3D-maps is freely accessible at http://gdb.unibe.ch.•The code for WebMolCS is available for download at https://github.com/reymond-group/webMolCS.
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ISSN:0223-5234
1768-3254
DOI:10.1016/j.ejmech.2019.01.048