Pockets as structural descriptors of EGFR kinase conformations

被引:17
作者
Anahi Hasenahuer, Marcia [1 ]
Patricio Barletta, German [1 ]
Fernandez-Alberti, Sebastian [1 ]
Parisi, Gustavo [1 ]
Silvina Fornasari, Maria [1 ]
机构
[1] Univ Nacl Quilmes, Dept Ciencia & Tecnol, Buenos Aires, DF, Argentina
来源
PLOS ONE | 2017年 / 12卷 / 12期
关键词
GROWTH-FACTOR RECEPTOR; LUNG-CANCER; INACTIVE CONFORMATIONS; PROTEIN; INHIBITOR; MECHANISM; ACTIVATION; DISCOVERY; DOMAIN; PLASTICITY;
D O I
10.1371/journal.pone.0189147
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Epidermal Growth Factor Receptor (EGFR), a tyrosine kinase receptor, is one of the main tumor markers in different types of cancers. The kinase native state is mainly composed of two populations of conformers: active and inactive. Several sequence variations in EGFR kinase region promote the differential enrichment of conformers with higher activity. Some structural characteristics have been proposed to differentiate kinase conformations, but these considerations could lead to ambiguous classifications. We present a structural characterisation of EGFR kinase conformers, focused on active site pocket comparisons, and the mapping of known pathological sequence variations. A structural based clustering of this pocket accurately discriminates active from inactive, well-characterised conformations. Furthermore, this main pocket contains, or is in close contact with, approximate to 65% of cancer-related variation positions. Although the relevance of protein dynamics to explain biological function has been extensively recognised, the usage of the ensemble of conformations in dynamic equilibrium to represent the functional state of proteins and the importance of pockets, cavities and/or tunnels was often neglected in previous studies. These functional structures and the equilibrium between them could be structurally analysed in wild type as well as in sequence variants. Our results indicate that biologically important pockets, as well as their shape and dynamics, are central to understanding protein function in wild-type, polymorphic or disease-related variations.
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页数:17
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