Literature DB >> 15667128

Enrichment of ligands for the serotonin receptor using the Shape Signatures approach.

Karthigeyan Nagarajan1, Randy Zauhar, William J Welsh.   

Abstract

Shape Signatures, a new 3-dimensional molecular comparison method, has been adapted to rank ligands of the serotonin receptors. A set of 825 agonists and 400 antagonists together with approximately 10,000 randomly chosen compounds from the NCI database were used in this study. Both 1D and 2D Shape Signature databases were created, and enrichment studies were carried out. Results from these studies reveal that the 1D Shape Signature approach is highly efficient in separating agonists from a mixture of molecules which includes compounds randomly selected from the NCI database taken as inactives. It is also equally effective at separating agonists and antagonists from a pool of active ligands for the serotonin receptor. Parallel enrichment studies using 2D shape signatures showed high selectivity with more restricted coverage due to the high specificity of 2D signatures. The influence of conformational variation of the shape signature on enrichment was explored by docking a subset of ligands into the crystal structure of serotonin N-acetyltransferase. Enrichment studies on the resulting "docked" conformations produced only slightly improved results compared with the CORINA-generated conformations.

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Year:  2005        PMID: 15667128     DOI: 10.1021/ci049746x

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  16 in total

1.  Avalanche for shape and feature-based virtual screening with 3D alignment.

Authors:  David J Diller; Nancy D Connell; William J Welsh
Journal:  J Comput Aided Mol Des       Date:  2015-10-12       Impact factor: 3.686

2.  Discovery of novel triazole-based opioid receptor antagonists.

Authors:  Qiang Zhang; Susan M Keenan; Youyi Peng; Anil C Nair; Seong Jae Yu; Richard D Howells; William J Welsh
Journal:  J Med Chem       Date:  2006-07-13       Impact factor: 7.446

3.  Identification of previously unrecognized antiestrogenic chemicals using a novel virtual screening approach.

Authors:  Ching Y Wang; Ni Ai; Sonia Arora; Eric Erenrich; Karthigeyan Nagarajan; Randy Zauhar; Douglas Young; William J Welsh
Journal:  Chem Res Toxicol       Date:  2006-12       Impact factor: 3.739

4.  Shape signatures: new descriptors for predicting cardiotoxicity in silico.

Authors:  Dmitriy S Chekmarev; Vladyslav Kholodovych; Konstantin V Balakin; Yan Ivanenkov; Sean Ekins; William J Welsh
Journal:  Chem Res Toxicol       Date:  2008-05-08       Impact factor: 3.739

5.  New predictive models for blood-brain barrier permeability of drug-like molecules.

Authors:  Sandhya Kortagere; Dmitriy Chekmarev; William J Welsh; Sean Ekins
Journal:  Pharm Res       Date:  2008-04-16       Impact factor: 4.200

6.  Identification of Nitazoxanide as a Group I Metabotropic Glutamate Receptor Negative Modulator for the Treatment of Neuropathic Pain: An In Silico Drug Repositioning Study.

Authors:  Ni Ai; Richard D Wood; William J Welsh
Journal:  Pharm Res       Date:  2015-03-12       Impact factor: 4.200

7.  Predicting inhibitors of acetylcholinesterase by regression and classification machine learning approaches with combinations of molecular descriptors.

Authors:  Dmitriy Chekmarev; Vladyslav Kholodovych; Sandhya Kortagere; William J Welsh; Sean Ekins
Journal:  Pharm Res       Date:  2009-07-15       Impact factor: 4.200

Review 8.  The importance of discerning shape in molecular pharmacology.

Authors:  Sandhya Kortagere; Matthew D Krasowski; Sean Ekins
Journal:  Trends Pharmacol Sci       Date:  2009-01-31       Impact factor: 14.819

9.  IDSS: deformation invariant signatures for molecular shape comparison.

Authors:  Yu-Shen Liu; Yi Fang; Karthik Ramani
Journal:  BMC Bioinformatics       Date:  2009-05-22       Impact factor: 3.169

10.  Application of screening methods, shape signatures and engineered biosensors in early drug discovery process.

Authors:  Izabela Hartman; Alison R Gillies; Sonia Arora; Christina Andaya; Nitya Royapet; William J Welsh; David W Wood; Randy J Zauhar
Journal:  Pharm Res       Date:  2009-07-22       Impact factor: 4.200

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