| Campo DC | Valor | Idioma |
|---|
| dc.contributor.author | Shi Chen | - |
| dc.contributor.author | Wiewiora, Rafal P. | - |
| dc.contributor.author | Fanwang Meng | - |
| dc.contributor.author | Babault, Nicolas | - |
| dc.contributor.author | Anqi Ma | - |
| dc.contributor.author | Wenyu Yu | - |
| dc.contributor.author | Kun Qian | - |
| dc.contributor.author | Hao Hu | - |
| dc.contributor.author | Hua Zou | - |
| dc.contributor.author | Junyi Wang | - |
| dc.contributor.author | Shijie Fan | - |
| dc.contributor.author | Blum, Gil | - |
| dc.contributor.author | Pittella-Silva, Fabio | - |
| dc.contributor.author | Beauchamp, Kyle A. | - |
| dc.contributor.author | Tempel, Wolfram | - |
| dc.contributor.author | Hualiang Jiang | - |
| dc.contributor.author | Kaixian Chen | - |
| dc.contributor.author | Skene, Robert J. | - |
| dc.contributor.author | Yujun George Zheng | - |
| dc.contributor.author | Brown, Peter J. | - |
| dc.contributor.author | Jian Jin Cheng Luo | - |
| dc.contributor.author | Chodera, John D. | - |
| dc.contributor.author | Minkui Luo | - |
| dc.date.accessioned | 2022-09-05T15:22:23Z | - |
| dc.date.available | 2022-09-05T15:22:23Z | - |
| dc.date.issued | 2019-05-13 | - |
| dc.identifier.citation | SHI CHEN et al. The dynamic conformational landscape of the protein methyltransferase SETD8. eLife, v.19, n.8, e45403, 2019. DOI: https://doi.org/10.7554/eLife.45403. Disponível em: https://elifesciences.org/articles/45403. Acesso em: 05 set. 2022. | pt_BR |
| dc.identifier.uri | https://repositorio.unb.br/handle/10482/44692 | - |
| dc.language.iso | Inglês | pt_BR |
| dc.publisher | eLife Sciences Publications Ltd. | pt_BR |
| dc.rights | Acesso Aberto | pt_BR |
| dc.title | The dynamic conformational landscape of the protein methyltransferase SETD8 | pt_BR |
| dc.type | Artigo | pt_BR |
| dc.subject.keyword | Proteínas | pt_BR |
| dc.subject.keyword | Câncer | pt_BR |
| dc.rights.license | Copyright Chen et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited. | pt_BR |
| dc.identifier.doi | https://doi.org/10.7554/eLife.45403 | pt_BR |
| dc.description.abstract1 | 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. | pt_BR |
| Aparece nas coleções: | Artigos publicados em periódicos e afins
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