Encounter and React: Computer-Guided Design of Covalent Inhibitors

Peter Man Un Ung; Robert J. DeVita; Avner Schlessinger

doi:10.1016/j.chembiol.2018.12.009

Encounter and React: Computer-Guided Design of Covalent Inhibitors

Peter Man Un Ung
, Robert J. DeVita
, Avner Schlessinger

Research output: Contribution to journal › Short survey › peer-review

2 Scopus citations

Abstract

Covalent inhibitors can obtain optimal selectivity and extended residence time. In this issue of Cell Chemical Biology, Shraga et al. (2019) take a comprehensive computational and experimental approach to modulate the JNK-Jun pathway through design of MKK7 covalent inhibitors. This study highlights a promising and emerging strategy for therapeutic discovery.

Original language	English
Pages (from-to)	6-8
Number of pages	3
Journal	Cell Chemical Biology
Volume	26
Issue number	1
DOIs	https://doi.org/10.1016/j.chembiol.2018.12.009
State	Published - 17 Jan 2019

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title = "Encounter and React: Computer-Guided Design of Covalent Inhibitors",

abstract = "Covalent inhibitors can obtain optimal selectivity and extended residence time. In this issue of Cell Chemical Biology, Shraga et al. (2019) take a comprehensive computational and experimental approach to modulate the JNK-Jun pathway through design of MKK7 covalent inhibitors. This study highlights a promising and emerging strategy for therapeutic discovery.",

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T2 - Computer-Guided Design of Covalent Inhibitors

AU - Ung, Peter Man Un

AU - DeVita, Robert J.

AU - Schlessinger, Avner

PY - 2019/1/17

Y1 - 2019/1/17

N2 - Covalent inhibitors can obtain optimal selectivity and extended residence time. In this issue of Cell Chemical Biology, Shraga et al. (2019) take a comprehensive computational and experimental approach to modulate the JNK-Jun pathway through design of MKK7 covalent inhibitors. This study highlights a promising and emerging strategy for therapeutic discovery.

AB - Covalent inhibitors can obtain optimal selectivity and extended residence time. In this issue of Cell Chemical Biology, Shraga et al. (2019) take a comprehensive computational and experimental approach to modulate the JNK-Jun pathway through design of MKK7 covalent inhibitors. This study highlights a promising and emerging strategy for therapeutic discovery.

UR - https://www.scopus.com/pages/publications/85059578483

U2 - 10.1016/j.chembiol.2018.12.009

DO - 10.1016/j.chembiol.2018.12.009

M3 - Short survey

C2 - 30658111

AN - SCOPUS:85059578483

SN - 2451-9456

VL - 26

SP - 6

EP - 8

JO - Cell Chemical Biology

JF - Cell Chemical Biology

IS - 1

ER -

Encounter and React: Computer-Guided Design of Covalent Inhibitors

Abstract

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