Literature DB >> 19121411

G-protein-coupled receptor-focused drug discovery using a target class platform approach.

Ralf Heilker1, Michael Wolff, Christofer S Tautermann, Michael Bieler.   

Abstract

In recent years, several large pharmaceutical companies have taken a novel approach to drug discovery biology and chemistry in that they channel their efforts with respect to particular target classes, such as G-protein-coupled receptors (GPCRs), toward dedicated, specialized teams. Benefits of such an organizational structure are the prospects of establishing several target-family-specific experimental techniques and skill sets, thereby enabling a comprehensive functional profiling of drug candidates in different pharmacological respects. In this context, the recently increased number of reports on GPCR ligand-biased signaling has further spurred the efforts in the pharmaceutical industry toward broader biological characterization of the test compounds, for example employing high-content screening to analyze different GPCR ligand-induced signaling pathways. The knowledge of the disease-relevant functional properties of the small molecule GPCR ligands enables target-specific chemical optimization and GPCR-subclass-directed library design. In the case of GPCRs, where little--although at present slowly expanding--structural information on the targets is available, the modeling of GPCR structures crucially depends on biological validation (typically supported by site-directed mutagenesis of the GPCR ligand binding site). In this review, we aim to recapitulate efforts in the pharmaceutical industry to address GPCR-directed drug discovery in a target-class-directed platform approach: establishing GPCR-specific biological assay panels and creating computational chemistry methods for finding and optimizing small molecules modulating the activity of GPCRs.

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Year:  2009        PMID: 19121411     DOI: 10.1016/j.drudis.2008.11.011

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  26 in total

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Journal:  Biochim Biophys Acta       Date:  2013-09-02

2.  Cholesterol modulates the dimer interface of the β₂-adrenergic receptor via cholesterol occupancy sites.

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Journal:  Biophys J       Date:  2014-03-18       Impact factor: 4.033

3.  Chromodomain Ligand Optimization via Target-Class Directed Combinatorial Repurposing.

Authors:  Kimberly D Barnash; Kelsey N Lamb; Jacob I Stuckey; Jacqueline L Norris; Stephanie H Cholensky; Dmitri B Kireev; Stephen V Frye; Lindsey I James
Journal:  ACS Chem Biol       Date:  2016-07-14       Impact factor: 5.100

4.  Organization of higher-order oligomers of the serotonin₁(A) receptor explored utilizing homo-FRET in live cells.

Authors:  Sourav Ganguly; Andrew H A Clayton; Amitabha Chattopadhyay
Journal:  Biophys J       Date:  2011-01-19       Impact factor: 4.033

Review 5.  Rational design of dualsteric GPCR ligands: quests and promise.

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Journal:  Br J Pharmacol       Date:  2010-02-05       Impact factor: 8.739

Review 6.  T-cell antigen receptor (TCR) transmembrane peptides: A new paradigm for the treatment of autoimmune diseases.

Authors:  Nicholas Manolios; Marina Ali; Vera Bender
Journal:  Cell Adh Migr       Date:  2010-04-30       Impact factor: 3.405

7.  Cholesterol depletion mimics the effect of cytoskeletal destabilization on membrane dynamics of the serotonin1A receptor: A zFCS study.

Authors:  Sourav Ganguly; Amitabha Chattopadhyay
Journal:  Biophys J       Date:  2010-09-08       Impact factor: 4.033

8.  Differentiation of small bowel and pancreatic neuroendocrine tumors by gene-expression profiling.

Authors:  Jennifer C Carr; Erin A Boese; Philip M Spanheimer; Fadi S Dahdaleh; Molly Martin; Daniel Calva; Blanca Schafer; David M Thole; Terry Braun; Thomas M O'Dorisio; M Sue O'Dorisio; James R Howe
Journal:  Surgery       Date:  2012-12       Impact factor: 3.982

9.  Structure-based discovery of novel chemotypes for adenosine A(2A) receptor antagonists.

Authors:  Vsevolod Katritch; Veli-Pekka Jaakola; J Robert Lane; Judy Lin; Adriaan P Ijzerman; Mark Yeager; Irina Kufareva; Raymond C Stevens; Ruben Abagyan
Journal:  J Med Chem       Date:  2010-02-25       Impact factor: 7.446

10.  Anti-schistosomal intervention targets identified by lifecycle transcriptomic analyses.

Authors:  Jennifer M Fitzpatrick; Emily Peak; Samirah Perally; Iain W Chalmers; John Barrett; Timothy P Yoshino; Alasdair C Ivens; Karl F Hoffmann
Journal:  PLoS Negl Trop Dis       Date:  2009-11-03
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