Literature DB >> 15857126

Successful in silico discovery of novel nonsteroidal ligands for human sex hormone binding globulin.

Artem Cherkasov1, Zheng Shi, Magid Fallahi, Geoffrey L Hammond.   

Abstract

Using "in silico" drug design methodologies, we have discovered several nonsteroidal compounds of natural origin that bind to human sex hormone binding globulin (SHBG) with affinity constants of 0.1 x 10(6) to 1.2 x 10(6) M(-1). The computational solutions we developed involved pharmacophore-aided database search, virtual protein-ligand docking, and structure-activity modeling with "inductive" QSAR descriptors. By screening 23 836 natural substance structures, we identified 29 potential SHBG ligands, and eight of these bound the protein in vitro. These nonsteroidal ligands belong to four classes of molecular scaffolds with several available substitution positions that could allow chemical modification to enhance SHBG-binding activity. Interestingly, one of these compounds is structurally similar to a dicyclohexane derivative that binds to rat SHBG and causes azospermia when administered to male rats. Taken together, the in silico strategy we have developed will aid in the discovery of nonsteroidal ligands of SHBG with novel pharmacological properties.

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Year:  2005        PMID: 15857126     DOI: 10.1021/jm049087f

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


  6 in total

1.  Similarity-based SIBAR descriptors for classification of chemically diverse hERG blockers.

Authors:  Khac-Minh Thai; Gerhard F Ecker
Journal:  Mol Divers       Date:  2009-02-14       Impact factor: 2.943

Review 2.  Docking Screens for Novel Ligands Conferring New Biology.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Med Chem       Date:  2016-03-15       Impact factor: 7.446

3.  A systematic investigation of quaternary ammonium ions as asymmetric phase-transfer catalysts. Application of quantitative structure activity/selectivity relationships.

Authors:  Scott E Denmark; Nathan D Gould; Larry M Wolf
Journal:  J Org Chem       Date:  2011-05-06       Impact factor: 4.354

4.  A Comprehensive In Silico Method to Study the QSTR of the Aconitine Alkaloids for Designing Novel Drugs.

Authors:  Ming-Yang Wang; Jing-Wei Liang; Kamara Mohamed Olounfeh; Qi Sun; Nan Zhao; Fan-Hao Meng
Journal:  Molecules       Date:  2018-09-18       Impact factor: 4.411

5.  Ligand Binding Prediction Using Protein Structure Graphs and Residual Graph Attention Networks.

Authors:  Mohit Pandey; Mariia Radaeva; Hazem Mslati; Olivia Garland; Michael Fernandez; Martin Ester; Artem Cherkasov
Journal:  Molecules       Date:  2022-08-11       Impact factor: 4.927

Review 6.  Virtual screening for the discovery of bioactive natural products.

Authors:  Judith M Rollinger; Hermann Stuppner; Thierry Langer
Journal:  Prog Drug Res       Date:  2008
  6 in total

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