Literature DB >> 25475886

Multidimensional de novo design reveals 5-HT2B receptor-selective ligands.

Tiago Rodrigues1, Nadine Hauser, Daniel Reker, Michael Reutlinger, Tiffany Wunderlin, Jacques Hamon, Guido Koch, Gisbert Schneider.   

Abstract

We report a multi-objective de novo design study driven by synthetic tractability and aimed at the prioritization of computer-generated 5-HT2B receptor ligands with accurately predicted target-binding affinities. Relying on quantitative bioactivity models we designed and synthesized structurally novel, selective, nanomolar, and ligand-efficient 5-HT2B modulators with sustained cell-based effects. Our results suggest that seamless amalgamation of computational activity prediction and molecular design with microfluidics-assisted synthesis enables the swift generation of small molecules with the desired polypharmacology.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  GPCR; computer-assisted molecular design; drug discovery; microfluidics; organic synthesis

Mesh:

Substances:

Year:  2014        PMID: 25475886     DOI: 10.1002/anie.201410201

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  9 in total

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Review 2.  Automating drug discovery.

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Journal:  Nat Rev Drug Discov       Date:  2017-12-15       Impact factor: 84.694

3.  Structure-Based Scaffold Repurposing for G Protein-Coupled Receptors: Transformation of Adenosine Derivatives into 5HT2B/5HT2C Serotonin Receptor Antagonists.

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Journal:  J Med Chem       Date:  2016-12-09       Impact factor: 7.446

4.  Fragment-Based De Novo Design Reveals a Small-Molecule Inhibitor of Helicobacter Pylori HtrA.

Authors:  Anna M Perna; Tiago Rodrigues; Thomas P Schmidt; Manja Böhm; Katharina Stutz; Daniel Reker; Bernhard Pfeiffer; Karl-Heinz Altmann; Steffen Backert; Silja Wessler; Gisbert Schneider
Journal:  Angew Chem Int Ed Engl       Date:  2015-06-09       Impact factor: 15.336

Review 5.  Exploring G Protein-Coupled Receptors (GPCRs) Ligand Space via Cheminformatics Approaches: Impact on Rational Drug Design.

Authors:  Shaherin Basith; Minghua Cui; Stephani J Y Macalino; Jongmi Park; Nina A B Clavio; Soosung Kang; Sun Choi
Journal:  Front Pharmacol       Date:  2018-03-09       Impact factor: 5.810

6.  Multi-objective active machine learning rapidly improves structure-activity models and reveals new protein-protein interaction inhibitors.

Authors:  D Reker; P Schneider; G Schneider
Journal:  Chem Sci       Date:  2016-03-10       Impact factor: 9.825

7.  Multi-objective de novo molecular design of organic structure-directing agents for zeolites using nature-inspired ant colony optimization.

Authors:  Koki Muraoka; Watcharop Chaikittisilp; Tatsuya Okubo
Journal:  Chem Sci       Date:  2020-07-20       Impact factor: 9.825

8.  Computational polypharmacology comes of age.

Authors:  Giulio Rastelli; Luca Pinzi
Journal:  Front Pharmacol       Date:  2015-07-28       Impact factor: 5.810

9.  Web-based 3D-visualization of the DrugBank chemical space.

Authors:  Mahendra Awale; Jean-Louis Reymond
Journal:  J Cheminform       Date:  2016-05-04       Impact factor: 5.514

  9 in total

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