Literature DB >> 30582689

Structural Insights into Characterizing Binding Sites in Epidermal Growth Factor Receptor Kinase Mutants.

Zheng Zhao1, Lei Xie2,3, Philip E Bourne1,4.   

Abstract

Over the last two decades epidermal growth factor receptor (EGFR) kinase has become an important target to treat nonsmall cell lung cancer (NSCLC). Currently, three generations of EGFR kinase-targeted small molecule drugs have been FDA approved. They nominally produce a response at the start of treatment and lead to a substantial survival benefit for patients. However, long-term treatment results in acquired drug resistance and further vulnerability to NSCLC. Therefore, novel EGFR kinase inhibitors that specially overcome acquired mutations are urgently needed. To this end, we carried out a comprehensive study of different EGFR kinase mutants using a structural systems pharmacology strategy. Our analysis shows that both wild-type and mutated structures exhibit multiple conformational states that have not been observed in solved crystal structures. We show that this conformational flexibility accommodates diverse types of ligands with multiple types of binding modes. These results provide insights for designing a new generation of EGFR kinase inhibitor that combats acquired drug-resistant mutations through a multiconformation-based drug design strategy.

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Year:  2019        PMID: 30582689      PMCID: PMC6441332          DOI: 10.1021/acs.jcim.8b00458

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


  65 in total

1.  Nonlinear elasticity, proteinquakes, and the energy landscapes of functional transitions in proteins.

Authors:  O Miyashita; J N Onuchic; P G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-17       Impact factor: 11.205

2.  The ins and outs of selective kinase inhibitor development.

Authors:  Susanne Müller; Apirat Chaikuad; Nathanael S Gray; Stefan Knapp
Journal:  Nat Chem Biol       Date:  2015-11       Impact factor: 15.040

Review 3.  Molecular recognition of protein kinase binding pockets for design of potent and selective kinase inhibitors.

Authors:  Jeffrey Jie-Lou Liao
Journal:  J Med Chem       Date:  2007-02-08       Impact factor: 7.446

4.  Surface comparison of active and inactive protein kinases identifies a conserved activation mechanism.

Authors:  Alexandr P Kornev; Nina M Haste; Susan S Taylor; Lynn F Ten Eyck
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-09       Impact factor: 11.205

5.  The T790M mutation in EGFR kinase causes drug resistance by increasing the affinity for ATP.

Authors:  Cai-Hong Yun; Kristen E Mengwasser; Angela V Toms; Michele S Woo; Heidi Greulich; Kwok-Kin Wong; Matthew Meyerson; Michael J Eck
Journal:  Proc Natl Acad Sci U S A       Date:  2008-01-28       Impact factor: 11.205

6.  Comparative protein structure modeling using Modeller.

Authors:  Ben Webb; Andrej Sali; Narayanan Eswar; Marc A Marti-Renom; M S Madhusudhan; David Eramian; Min-Yi Shen; Ursula Pieper
Journal:  Curr Protoc Bioinformatics       Date:  2006-10

7.  Midostaurin, a Natural Product-Derived Kinase Inhibitor Recently Approved for the Treatment of Hematological MalignanciesPublished as part of the Biochemistry series "Biochemistry to Bedside".

Authors:  Paul W Manley; Ellen Weisberg; Martin Sattler; James D Griffin
Journal:  Biochemistry       Date:  2017-11-30       Impact factor: 3.162

8.  High-throughput kinase profiling: a more efficient approach toward the discovery of new kinase inhibitors.

Authors:  Chandrasekhar V Miduturu; Xianming Deng; Nicholas Kwiatkowski; Wannian Yang; Laurent Brault; Panagis Filippakopoulos; Eunah Chung; Qingkai Yang; Juerg Schwaller; Stefan Knapp; Randall W King; Jiing-Dwan Lee; Sanna Herrgard; Patrick Zarrinkar; Nathanael S Gray
Journal:  Chem Biol       Date:  2011-07-29

9.  A new alkaloid AM-2282 OF Streptomyces origin. Taxonomy, fermentation, isolation and preliminary characterization.

Authors:  S Omura; Y Iwai; A Hirano; A Nakagawa; J Awaya; H Tsuchya; Y Takahashi; R Masuma
Journal:  J Antibiot (Tokyo)       Date:  1977-04       Impact factor: 2.649

10.  UniProt: the universal protein knowledgebase.

Authors: 
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

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  6 in total

1.  In silico studies of interactions of peptide-conjugated cholesterol metabolites and betulinic acid with EGFR, LDR, and N-terminal fragment of CCKA receptors.

Authors:  Madeline M Bashant; Saige M Mitchell; Lucy R Hart; Charlotta G Lebedenko; Ipsita A Banerjee
Journal:  J Mol Model       Date:  2021-12-28       Impact factor: 1.810

2.  Discovery of Anilino-1,4-naphthoquinones as Potent EGFR Tyrosine Kinase Inhibitors: Synthesis, Biological Evaluation, and Comprehensive Molecular Modeling.

Authors:  Panupong Mahalapbutr; Ronnakorn Leechaisit; Anusit Thongnum; Duangjai Todsaporn; Veda Prachayasittikul; Thanyada Rungrotmongkol; Supaluk Prachayasittikul; Somsak Ruchirawat; Virapong Prachayasittikul; Ratchanok Pingaew
Journal:  ACS Omega       Date:  2022-05-18

3.  Structural Insights into the Binding Modes of Viral RNA-Dependent RNA Polymerases Using a Function-Site Interaction Fingerprint Method for RNA Virus Drug Discovery.

Authors:  Zheng Zhao; Philip E Bourne
Journal:  J Proteome Res       Date:  2020-09-29       Impact factor: 4.466

Review 4.  Globally Approved EGFR Inhibitors: Insights into Their Syntheses, Target Kinases, Biological Activities, Receptor Interactions, and Metabolism.

Authors:  Mohammed A S Abourehab; Alaa M Alqahtani; Bahaa G M Youssif; Ahmed M Gouda
Journal:  Molecules       Date:  2021-11-04       Impact factor: 4.411

Review 5.  Structural Insight and Development of EGFR Tyrosine Kinase Inhibitors.

Authors:  Tasia Amelia; Rahmana Emran Kartasasmita; Tomohiko Ohwada; Daryono Hadi Tjahjono
Journal:  Molecules       Date:  2022-01-26       Impact factor: 4.411

6.  Unlocking phenotypic plasticity provides novel insights for immunity and personalized therapy in lung adenocarcinoma.

Authors:  Feng Wang; Hongjuan Du; Bibo Li; Zhibin Luo; Lei Zhu
Journal:  Front Genet       Date:  2022-09-06       Impact factor: 4.772

  6 in total

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