Identification of binding sites in nicastrin and binding modes of its inhibitors

Author:

Zinyama Ngceboyakwethu P,Guyo UpenyuORCID,Mugumbate Grace

Abstract

Background: Nicastrin is a confirmed breast cancer target, but the lack of knowledge about its binding sites and the structural basis of interactions with known small molecules makes the development of small molecules against it challenging. Methods: Molecular docking and molecular dynamics simulations were used in this work to identify binding sites in nicastrin, a gamma-secretase component that has been implicated in breast cancer and a potential drug target in cancer chemotherapy. Results: Docking calculations identified three binding sites, however binding site analysis using druggability assessment identified a region that encompasses the DYIGS motif, the DYIGS site as the most favorable binding site. This site was validated by a 50 ns molecular dynamic simulation with a known inhibitor CID44433923 and free energy of binding was found to be -11.4 kcal/mol and mainly driven by hydrophobic interactions. Per residue decomposition analysis showed that Gln139, Val138 and Arg105 had a relatively high contribution towards the free energy of binding. These results suggest that these residues might be critical in nicastrin inhibition. Binding mode analysis by docking previously reported nicastrin inhibitors identified residues Gln139, Val138 and Asp143 as key in the interactions. Conclusions: This work affords an insight into the binding mechanism of small molecules and might direct drug design efforts towards nicastrin.

Funder

Midlands State University Research and Innovation Division

Publisher

F1000 Research Ltd

Subject

General Pharmacology, Toxicology and Pharmaceutics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference45 articles.

1. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008.;J Ferlay;Int. J. Cancer.,2010

2. Global burden and trends in premenopausal and postmenopausal breast cancer: a population-based study.;E Heer;Lancet Glob. Health.,2020

3. Global cancer statistics, 2012.;L Torre;CA Cancer J. Clin.,2015

4. Estrogen receptor alpha-negative and triple negative breast cancer: molecular features and potential therapeutic approaches.;J Chen;Biochim. Biophys. Acta.,2010

5. The Structural Basis of Estrogen Receptor/Coactivator Recognition and the Antagonism of This Interaction by Tamoxifen.;A Shiau;Cell.,1998

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