Identification and validation of selective deubiquitinase inhibitors.
Identification and validation of selective deubiquitinase inhibitors.
复制标题
选择性去泛素酶抑制剂的鉴定和验证。
DOI:
10.1016/j.chembiol.2021.05.012
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发表时间:
2021-12-16
影响因子:
8.6
通讯作者:
Buhrlage, Sara J.
中科院分区:
文献类型:
--
作者:
Varca, Anthony C.;Casalena, Dominick;Chan, Wai Cheung;Hu, Bin;Magin, Robert S.;Roberts, Rebekka M.;Liu, Xiaoxi;Zhu, He;Seo, Hyuk-Soo;Dhe-Paganon, Sirano;Marto, Jarrod A.;Auld, Douglas;Buhrlage, Sara J.
Deubiquitinating enzymes (DUBs) are a class of isopeptidases that regulate ubiquitin dynamics through catalytic cleavage of ubiquitin from protein substrates and ubiquitin precursors. Despite growing interest in DUB biological function and potential as therapeutic targets, few selective small molecule inhibitors and no approved drugs currently exist. To identify chemical scaffolds targeting specific DUBs and establish a broader framework for future inhibitor development across the gene-family, we performed high-throughput screening of a chemically diverse small molecule library against eight different DUBs, spanning three well-characterized DUB families. Promising hit compounds were validated in a series of counter-screens and orthogonal assays, as well as further assessed for selectivity across expanded panels of DUBs. Through these efforts, we have identified multiple highly selective DUB inhibitors and developed a roadmap for rapidly identifying and validating selective inhibitors of related enzymes. Deubiquitinases (DUBs) have emerged as therapeutically interesting targets due to their involvement in protein turnover in cells. Varca et. al. describe a multi-DUB high throughput screen and orthogonal validation campaign to identify new tool compounds for elucidating DUB function and provide a roadmap for future DUB inhibitor screens.
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DOI:
10.1038/nrd.2017.152
发表时间:
2018-01
期刊:
Nature reviews. Drug discovery
影响因子:
--
作者:
Harrigan JA;Jacq X;Martin NM;Jackson SP
通讯作者:
Jackson SP
影响因子:
16.6
作者:
Hermanns T;Pichlo C;Woiwode I;Klopffleisch K;Witting KF;Ovaa H;Baumann U;Hofmann K
通讯作者:
Hofmann K
影响因子:
5.7
作者:
Ding WX;Ni HM;Gao W;Chen X;Kang JH;Stolz DB;Liu J;Yin XM
通讯作者:
Yin XM
影响因子:
4.6
作者:
Daina A;Michielin O;Zoete V
通讯作者:
Zoete V
影响因子:
16
作者:
Haahr, Peter;Borgermann, Nikoline;Mailand, Niels
通讯作者:
Mailand, Niels