Literature DB >> 21650160

Use of structure-based design to discover a potent, selective, in vivo active phosphodiesterase 10A inhibitor lead series for the treatment of schizophrenia.

Christopher J Helal1, Zhijun Kang, Xinjun Hou, Jayvardhan Pandit, Thomas A Chappie, John M Humphrey, Eric S Marr, Kimberly F Fennell, Lois K Chenard, Carol Fox, Christopher J Schmidt, Robert D Williams, Douglas S Chapin, Judith Siuciak, Lorraine Lebel, Frank Menniti, Julia Cianfrogna, Kari R Fonseca, Frederick R Nelson, Rebecca O'Connor, Mary MacDougall, Laura McDowell, Spiros Liras.   

Abstract

Utilizing structure-based virtual library design and scoring, a novel chimeric series of phosphodiesterase 10A (PDE10A) inhibitors was discovered by synergizing binding site interactions and ADME properties of two chemotypes. Virtual libraries were docked and scored for potential binding ability, followed by visual inspection to prioritize analogs for parallel and directed synthesis. The process yielded highly potent and selective compounds such as 16. New X-ray cocrystal structures enabled rational design of substituents that resulted in the successful optimization of physical properties to produce in vivo activity and to modulate microsomal clearance and permeability.

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Year:  2011        PMID: 21650160     DOI: 10.1021/jm2001508

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  4 in total

Review 1.  Advances in targeting cyclic nucleotide phosphodiesterases.

Authors:  Donald H Maurice; Hengming Ke; Faiyaz Ahmad; Yousheng Wang; Jay Chung; Vincent C Manganiello
Journal:  Nat Rev Drug Discov       Date:  2014-04       Impact factor: 84.694

2.  In vitro and in vivo characterisation of Lu AF64280, a novel, brain penetrant phosphodiesterase (PDE) 2A inhibitor: potential relevance to cognitive deficits in schizophrenia.

Authors:  John P Redrobe; Morten Jørgensen; Claus T Christoffersen; Liliana P Montezinho; Jesper F Bastlund; Martin Carnerup; Christoffer Bundgaard; Linda Lerdrup; Niels Plath
Journal:  Psychopharmacology (Berl)       Date:  2014-03-01       Impact factor: 4.530

3.  Identification of novel off targets of baricitinib and tofacitinib by machine learning with a focus on thrombosis and viral infection.

Authors:  Maria L Faquetti; Francesca Grisoni; Petra Schneider; Gisbert Schneider; Andrea M Burden
Journal:  Sci Rep       Date:  2022-05-12       Impact factor: 4.996

4.  Structure-Based Design, Synthesis, Biological Evaluation, and Molecular Docking of Novel PDE10 Inhibitors With Antioxidant Activities.

Authors:  Jinxuan Li; Jing-Yi Chen; Ya-Lin Deng; Qian Zhou; Yinuo Wu; Deyan Wu; Hai-Bin Luo
Journal:  Front Chem       Date:  2018-05-15       Impact factor: 5.221

  4 in total

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