Literature DB >> 12400857

A pharmacophore model for NK2 antagonist comprising compounds from several structurally diverse classes.

Anders Poulsen1, Tommy Liljefors, Klaus Gundertofte, Berith Bjørnholm.   

Abstract

A neurokinin 2 (NK2) antagonist pharmacophore model has been developed on the basis of five non-peptide antagonists from several structurally diverse classes. To evaluate the pharmacophore model, another 20 antagonists were fitted to the model. By use of exhaustive conformational analysis (MMFFs force field and the GB/SA hydration model) and least-squares molecular superimposition studies, 23 of the 25 antagonists were fitted to the model in a low energy conformation with a low RMS value. The pharmacophore model is described by four pharmacophore elements: Three hydrophobic groups and a hydrogen bond donor represented as a vector. The hydrophobic groups are generally aromatic rings, but this is not a requirement. The antagonists bind in an extended conformation with two aromatic rings in a parallel displaced and tilted conformation. The model was able to explain the enantioselectivity of SR48968 and GR159897.

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Year:  2002        PMID: 12400857     DOI: 10.1023/a:1020220306702

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  24 in total

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Journal:  Bioorg Med Chem Lett       Date:  1999-03-22       Impact factor: 2.823

Review 2.  Possible role(s) of neurokinins in CNS development and neurodegenerative or other disorders.

Authors:  R B Raffa
Journal:  Neurosci Biobehav Rev       Date:  1998-10       Impact factor: 8.989

3.  Conformational energy penalties of protein-bound ligands.

Authors:  J Boström; P O Norrby; T Liljefors
Journal:  J Comput Aided Mol Des       Date:  1998-07       Impact factor: 3.686

4.  High affinity, selective neurokinin 2 and neurokinin 3 receptor antagonists from a common structural template.

Authors:  T Harrison; M P Korsgaard; C J Swain; M A Cascieri; S Sadowski; G R Seabrook
Journal:  Bioorg Med Chem Lett       Date:  1998-06-02       Impact factor: 2.823

5.  Substance-P antagonists: a new treatment for depression?

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Journal:  Lancet       Date:  1998-11-21       Impact factor: 79.321

6.  QXP: powerful, rapid computer algorithms for structure-based drug design.

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Journal:  J Comput Aided Mol Des       Date:  1997-07       Impact factor: 3.686

7.  Parallel-compound synthesis: methodology for accelerating drug discovery.

Authors:  C N Selway; N K Terrett
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8.  Derivation of a three-dimensional pharmacophore model of substance P antagonists bound to the neurokinin-1 receptor.

Authors:  Y Takeuchi; E F Shands; D D Beusen; G R Marshall
Journal:  J Med Chem       Date:  1998-09-10       Impact factor: 7.446

9.  Serine derived NK1 antagonists. 2: A pharmacophore model for arylsulfonamide binding.

Authors:  J M Elliott; H Broughton; M A Cascieri; G Chicchi; I T Huscroft; M Kurtz; A M MacLeod; S Sadowski; G I Stevenson
Journal:  Bioorg Med Chem Lett       Date:  1998-07-21       Impact factor: 2.823

10.  New spiropiperidines as potent and selective non-peptide tachykinin NK2 receptor antagonists.

Authors:  P W Smith; A W Cooper; R Bell; I J Beresford; P M Gore; A B McElroy; J M Pritchard; V Saez; N R Taylor; R L Sheldrick
Journal:  J Med Chem       Date:  1995-09-15       Impact factor: 7.446

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  3 in total

1.  Pharmacophore and receptor models for neurokinin receptors.

Authors:  Anders Poulsen; Berith Bjørnholm; Klaus Gundertofte; Irina D Pogozheva; Tommy Liljefors
Journal:  J Comput Aided Mol Des       Date:  2003-11       Impact factor: 3.686

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Journal:  ACS Chem Neurosci       Date:  2011-12-21       Impact factor: 4.418

3.  Interaction of antidepressants with the serotonin and norepinephrine transporters: mutational studies of the S1 substrate binding pocket.

Authors:  Lena Sørensen; Jacob Andersen; Mette Thomsen; Stinna M R Hansen; Xiaobei Zhao; Albin Sandelin; Kristian Strømgaard; Anders S Kristensen
Journal:  J Biol Chem       Date:  2012-10-19       Impact factor: 5.157

  3 in total

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