Evidence map›Paper›PMID 31081496›Full record

ArticleeLife2019

The dynamic conformational landscape of the protein methyltransferase SETD8.

Shi Chen, Rafal P Wiewiora, Fanwang Meng, Nicolas Babault, Anqi Ma, Wenyu Yu, Kun Qian, Hao Hu, Hua Zou, Junyi Wang and 14 more

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. In Silico Isomerization Produces Apt Negative Data for VHTS Validation.Journal of chemical information and modeling · 2026
    Article
  2. Article
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  5. SGSS05-NS3, a covalent SETD8 inhibitor that activates p53 pathway in neuroblastoma.Journal of experimental & clinical cancer research : CR · 2025
    Article
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  13. Review
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  18. Opening of a cryptic pocket in β-lactamase increases penicillinase activity.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  19. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Shi Chen *Tri-Institutional PhD Program in Chemical Biology, Memorial Sloan Kettering Cancer Center, New York, United States.ORCID 0000-0002-5860-2616
Rafal P Wiewiora *Tri-Institutional PhD Program in Chemical Biology, Memorial Sloan Kettering Cancer Center, New York, United States.ORCID 0000-0002-8961-7183
Fanwang MengDrug Discovery and Design Center, CAS Key Laboratory of Receptor Research, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.ORCID 0000-0003-2886-7012
Nicolas BabaultMount Sinai Center for Therapeutics Discovery, Icahn School of Medicine at Mount Sinai, New York, United States.
Anqi MaMount Sinai Center for Therapeutics Discovery, Icahn School of Medicine at Mount Sinai, New York, United States.
Wenyu YuStructural Genomics Consortium, University of Toronto, Toronto, Canada.
Kun QianDepartment of Pharmaceutical and Biomedical Sciences, University of Georgia, Athens, United States.ORCID 0000-0003-1132-2374
Hao HuDepartment of Pharmaceutical and Biomedical Sciences, University of Georgia, Athens, United States.
Hua ZouTakeda California, Science Center Drive, San Diego, United States.
Junyi WangChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, United States.
Shijie FanDrug Discovery and Design Center, CAS Key Laboratory of Receptor Research, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Gil BlumChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, United States.
Fabio Pittella-SilvaChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, United States.ORCID 0000-0002-9644-7098
Kyle A BeauchampComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, United States.
Wolfram TempelStructural Genomics Consortium, University of Toronto, Toronto, Canada.
Hualiang JiangDrug Discovery and Design Center, CAS Key Laboratory of Receptor Research, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Kaixian ChenDrug Discovery and Design Center, CAS Key Laboratory of Receptor Research, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
Robert J SkeneTakeda California, Science Center Drive, San Diego, United States.ORCID 0000-0002-1482-6546
Yujun George ZhengDepartment of Pharmaceutical and Biomedical Sciences, University of Georgia, Athens, United States.
Peter J BrownStructural Genomics Consortium, University of Toronto, Toronto, Canada.ORCID 0000-0002-8454-0367
Jian JinMount Sinai Center for Therapeutics Discovery, Icahn School of Medicine at Mount Sinai, New York, United States.ORCID 0000-0002-2387-3862
Cheng LuoDrug Discovery and Design Center, CAS Key Laboratory of Receptor Research, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China.
John D ChoderaComputational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, United States.ORCID 0000-0003-0542-119X
Minkui LuoChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, United States.ORCID 0000-0001-7409-7034

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Overall EvaluationP41GM103403 · NIGMS · CORNELL UNIVERSITY · PI EALICK, STEVEN E · 2012 to 2017
$14.3M
Interrogating Protein Methyltransferases with Integrated ApproachesR35GM131858 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI Minkui Luo · 2019 to 2026
$6.3M
Profile substrates and inhibitors of protein lysine methyltransferaseR01GM096056 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI LUO, MINKUI · 2011 to 2018
$3.2M
Pixel Array Detector for Macromolecular CrystallographyS10OD021527 · OD · CORNELL UNIVERSITY · PI EALICK, STEVEN E · 2016 to 2016
$2.0M
The role of reorganization energy in achieving selective kinase inhibition"R01GM121505 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI CHODERA, JOHN DAMON · 2017 to 2021
$1.8M
Interrogating Functions of Protein Methyltransferases with Chemical ToolsR01GM120570 · NIGMS · SLOAN-KETTERING INST CAN RESEARCH · PI LUO, MINKUI · 2016 to 2019
$1.8M
Discovery of Selective Inhibitors for Histone MethyltransferasesR01GM122749 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JIN, JIAN · 2017 to 2020
$1.3M
Mechanism and Inhibition of Protein Arginine MethylationR01GM126154 · NIGMS · UNIVERSITY OF GEORGIA · PI ZHENG, Y. GEORGE · 2018 to 2021
$1.2M
Chinese Academy of Sciences XDA12020353Memorial Sloan-Kettering Cancer Center Functional Genomics InitiativeMemorial Sloan-Kettering Cancer Center Louis V. Gerstner Young Investigator AwardNational Natural Science Foundation of China 21820202008National Natural Science Foundation of China 81430084National Natural Science Foundation of China 81625022National Natural Science Foundation of China 91853205National Science & Technology Major Project of China 2018ZX09711002NCI NIH HHS 5P30 CA008748NCI NIH HHS P30 CA008748NIGMS NIH HHS P41 GM103403NIGMS NIH HHS R01 GM096056NIGMS NIH HHS R01GM096056NIGMS NIH HHS R01 GM120570NIGMS NIH HHS R01GM120570NIGMS NIH HHS R01 GM121505NIGMS NIH HHS R01GM121505NIGMS NIH HHS R01 GM122749NIGMS NIH HHS R01GM122749NIGMS NIH HHS R01 GM126154NIGMS NIH HHS R01GM126154NIGMS NIH HHS R35 GM131858NIGMS NIH HHS R35GM131858NIH HHS S10 OD021527Science and Technology Commission of Shanghai Municipality 18431907100Science and Technology Commission of Shanghai Municipality 19XD1404700U.S. Department of Defense Peer Reviewed Cancer Research Program W81XWH-17-1-0412Wellcome Trust
6 · The paper itself

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.

Indexed as

Allosteric RegulationCrystallography, X-RayHistone-Lysine N-MethyltransferaseMolecular Dynamics SimulationProtein ConformationHistone-Lysine N-MethyltransferaseKMT5A protein, humanbiochemistrychemical biologycomputational chemistryenzymologyepigeneticshumanposttranslational modification

Identifiers

PMID31081496
PMCPMC6579520

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.