Literature DB >> 27643626

Computer-aided discovery of new FGFR-1 inhibitors followed by in vitro validation.

Shada J Alabed1, Mohammad Khanfar1, Mutasem O Taha2.   

Abstract

AIM: FGFR-1 is an oncogenic kinase involved in several cancers. FGFR1-specific inhibitors have shown promising results against several human cancers prompting us to model this interesting target. Toward the end, we implemented elaborate ligand-based and structure-based computational workflows to explore the pharmacophoric requirements for potent FGFR-1 inhibitors. Results & methodology: Structure-based and ligand-based modeling applied on 59 diverse FGFR-1 inhibitors yielded novel pharmacophore and quantitative structure-activity relationship models that were used to scan the National Cancer Institute's structural database for novel leads. Four potent hits were captured, with the most active having IC50 of 426 nM. Identities and purities of active hits were established using nuclear magnetic resonance and mass spectroscopy.
CONCLUSION: Elaborate ligand-based (pharmacophore/quantitaive structure-activity relationship) and structure-based (docking-based comparative intermolecular contacts analysis) modeling provided deep understanding of ligand binding within FGFR-1 as evidenced by the virtually captured new potent leads.

Entities:  

Keywords:  FGFR-1; QSAR; dbCICA; pharmacophore; virtual search

Year:  2016        PMID: 27643626     DOI: 10.4155/fmc-2016-0056

Source DB:  PubMed          Journal:  Future Med Chem        ISSN: 1756-8919            Impact factor:   3.808


  4 in total

1.  Exploiting activity cliffs for building pharmacophore models and comparison with other pharmacophore generation methods: sphingosine kinase 1 as case study.

Authors:  Lubabah A Mousa; Ma'mon M Hatmal; Mutasem Taha
Journal:  J Comput Aided Mol Des       Date:  2022-01-21       Impact factor: 3.686

2.  Mechanistic Insights into the Binding of Class IIa HDAC Inhibitors toward Spinocerebellar Ataxia Type-2: A 3D-QSAR and Pharmacophore Modeling Approach.

Authors:  Siddharth Sinha; Sukriti Goyal; Pallavi Somvanshi; Abhinav Grover
Journal:  Front Neurosci       Date:  2017-01-10       Impact factor: 4.677

Review 3.  Deciphering role of FGFR signalling pathway in pancreatic cancer.

Authors:  Xiaodiao Kang; Zeng Lin; Minhui Xu; Jun Pan; Zhi-Wei Wang
Journal:  Cell Prolif       Date:  2019-04-03       Impact factor: 6.831

4.  Computational modeling of the bat HKU4 coronavirus 3CLpro inhibitors as a tool for the development of antivirals against the emerging Middle East respiratory syndrome (MERS) coronavirus.

Authors:  Areej Abuhammad; Rua'a A Al-Aqtash; Brandon J Anson; Andrew D Mesecar; Mutasem O Taha
Journal:  J Mol Recognit       Date:  2017-06-13       Impact factor: 2.137

  4 in total

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