Literature DB >> 34631360

Multifaceted targeting strategies in cancer against the human notch 3 protein: a computational study.

S Saranyadevi1.   

Abstract

Notch receptors play a significant role in the development and the regulation of cell-fate in several multicellular organisms. For normal differentiation, genomes are essential as their regular roles and play a role in cancer is dysregulated. Notch 3 has been shown to play a major role in lung cancer function and therefore, inhibition of notch 3 protein activation represents a clear plan for cancer treatment. This study accomplished a combined structure- and ligand-based pharmacophore hypothesis to explore novel notch 3 inhibitors. The analysis identified common lead molecule ZINC000013449462 that showed better XP GScore and binding energy score than the reference inhibitor DAPT. The identified lead compound that passed all the druggable characteristics exhibited stable binding. Furthermore, the lead molecule can also form hydrogen and salt bridge interactions with binding site residues Asp1621 and Arg1465 residues, respectively of the active pockets of notch 3 protein. In essence, the inhibitory activity of the hit was validated across 109 NSCLC cell lines by employing a deep neural network algorithm. Our study proposes that ZINC000013449462 would be a possible prototype molecule towards the notch 3 target and further examined by clinical studies to combat NSCLC.
© The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.

Entities:  

Keywords:  ADMET; Deep learning model; Drug repurposing; Lung cancer; Notch 3; Virtual screening

Year:  2021        PMID: 34631360      PMCID: PMC8481405          DOI: 10.1007/s40203-021-00112-y

Source DB:  PubMed          Journal:  In Silico Pharmacol        ISSN: 2193-9616


  35 in total

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Authors:  C A Lipinski
Journal:  J Pharmacol Toxicol Methods       Date:  2000 Jul-Aug       Impact factor: 1.950

2.  Chromosome 19 translocation, overexpression of Notch3, and human lung cancer.

Authors:  T P Dang; A F Gazdar; A K Virmani; T Sepetavec; K R Hande; J D Minna; J R Roberts; D P Carbone
Journal:  J Natl Cancer Inst       Date:  2000-08-16       Impact factor: 13.506

Review 3.  Molecular recognition and docking algorithms.

Authors:  Natasja Brooijmans; Irwin D Kuntz
Journal:  Annu Rev Biophys Biomol Struct       Date:  2003-01-28

4.  Molecular modeling study of checkpoint kinase 1 inhibitors by multiple docking strategies and prime/MM-GBSA calculation.

Authors:  Juan Du; Huijun Sun; Lili Xi; Jiazhong Li; Ying Yang; Huanxiang Liu; Xiaojun Yao
Journal:  J Comput Chem       Date:  2011-06-29       Impact factor: 3.376

5.  Notch mediates TGF alpha-induced changes in epithelial differentiation during pancreatic tumorigenesis.

Authors:  Yoshiharu Miyamoto; Anirban Maitra; Bidyut Ghosh; Ulrich Zechner; Pedram Argani; Christine A Iacobuzio-Donahue; Virote Sriuranpong; Tatsuya Iso; Ingrid M Meszoely; Michael S Wolfe; Ralph H Hruban; Douglas W Ball; Roland M Schmid; Steven D Leach
Journal:  Cancer Cell       Date:  2003-06       Impact factor: 31.743

6.  Molecular modeling, docking and ADMET studies towards development of novel Disopyramide analogs for potential inhibition of human voltage gated sodium channel proteins.

Authors:  Khunza Meraj; Manoj Kumar Mahto; N Blessy Christina; Nidhi Desai; Sajad Shahbazi; Matcha Bhaskar
Journal:  Bioinformation       Date:  2012-11-23

7.  Directory of useful decoys, enhanced (DUD-E): better ligands and decoys for better benchmarking.

Authors:  Michael M Mysinger; Michael Carchia; John J Irwin; Brian K Shoichet
Journal:  J Med Chem       Date:  2012-07-05       Impact factor: 7.446

8.  Discovery of novel inhibitors disrupting HIF-1α/von Hippel-Lindau interaction through shape-based screening and cascade docking.

Authors:  Xin Xue; Ning-Yi Zhao; Hai-Tao Yu; Yuan Sun; Chen Kang; Qiong-Bin Huang; Hao-Peng Sun; Xiao-Long Wang; Nian-Guang Li
Journal:  PeerJ       Date:  2016-12-15       Impact factor: 2.984

9.  Evaluating Deep Learning models for predicting ALK-5 inhibition.

Authors:  Gabriel Z Espinoza; Rafaela M Angelo; Patricia R Oliveira; Kathia M Honorio
Journal:  PLoS One       Date:  2021-01-28       Impact factor: 3.240

10.  lazar: a modular predictive toxicology framework.

Authors:  Andreas Maunz; Martin Gütlein; Micha Rautenberg; David Vorgrimmler; Denis Gebele; Christoph Helma
Journal:  Front Pharmacol       Date:  2013-04-09       Impact factor: 5.810

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