The dynamic conformational landscape of the protein methyltransferase SETD8 Journal Article


Authors: Chen, S.; Wiewiora, R. P.; Meng, F.; Babault, N.; Ma, A.; Yu, W.; Qian, K.; Hu, H.; Zou, H.; Wang, J.; Fan, S.; Blum, G.; Pittella-Silva, F.; Beauchamp, K. A.; Tempel, W.; Jiang, H.; Chen, K.; Skene, R. J.; Zheng, Y. G.; Brown, P. J.; Jin, J.; Luo, C.; Chodera, J. D.; Luo, M.
Article Title: The dynamic conformational landscape of the protein methyltransferase SETD8
Abstract: Elucidating the conformational heterogeneity of proteins is essential for understanding protein function and developing exogenous ligands. With the rapid development of experimental and computational methods, it is of great interest to integrate these approaches to illuminate the conformational landscapes of target proteins. SETD8 is a protein lysine methyltransferase (PKMT), which functions in vivo via the methylation of histone and nonhistone targets. Utilizing covalent inhibitors and depleting native ligands to trap hidden conformational states, we obtained diverse X-ray structures of SETD8. These structures were used to seed distributed atomistic molecular dynamics simulations that generated a total of six milliseconds of trajectory data. Markov state models, built via an automated machine learning approach and corroborated experimentally, reveal how slow conformational motions and conformational states are relevant to catalysis. These findings provide molecular insight on enzymatic catalysis and allosteric mechanisms of a PKMT via its detailed conformational landscape. © 2019, Chen et al.
Keywords: enzymology; epigenetics; biochemistry; computational chemistry; posttranslational modification; chemical biology; human
Journal Title: eLife
Volume: 8
ISSN: 2050-084X
Publisher: eLife Sciences Publications Ltd.  
Date Published: 2019-05-13
Start Page: e45403
Language: English
DOI: 10.7554/eLife.45403
PUBMED: 31081496
PROVIDER: scopus
PMCID: PMC6579520
DOI/URL:
Notes: Article -- Export Date: 2 August 2019 -- Source: Scopus
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  1. Minkui Luo
    70 Luo
  2. Gil Blum
    15 Blum
  3. John Damon Chodera
    118 Chodera
  4. Junyi   Wang
    5 Wang
  5. Shi Chen
    10 Chen