Jian Zhang

Prof. Dr. Jian Zhang

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 January 2016 in Chemical Reviews
Verified
Journal Article
Closed access
SLShaoyong Lu
Shaoyong Lu
HJHyunbum Jang
Hyunbum Jang
SMSerena Muratcioglu
Serena Muratcioglu
AGAttila Gursoy
Attila Gursoy
OKOzlem Keskin
Ozlem Keskin
JZJian Zhang
Jian Zhang

29 October 2018 in Nature Chemical Biology
Verified
Journal Article
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ZHZhimin Huang
Zhimin Huang
Junxing ZhaoJunxing Zhao
Junxing Zhao
WDWei Deng
Wei Deng
YCYingyi Chen
Yingyi Chen
JSJialin Shang
Jialin Shang
JZJian Zhang
Jian Zhang

23 February 2016 in Scientific Reports
Verified
Journal Article
Open access
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SLShaoyong Lu
Shaoyong Lu
HJHyunbum Jang
Hyunbum Jang
Ruth NussinovRuth Nussinov
Ruth Nussinov
JZJian Zhang
Jian Zhang
Ras mediates cell proliferation, survival and differentiation. Mutations in K-Ras4B are predominant at residues G12, G13 and Q61. Even though all impair GAP-assisted GTP → GDP hydrolysis, the mutation frequencies of K-Ras4B in human cancers vary. Here we aim to figure out their mechanisms and differential oncogenicity. In total, we performed 6.4 μs molecular dynamics simulations on the wild-type K-Ras4B (K-Ras4BWT-GTP/GDP) catalytic domain, the K-Ras4BWT-GTP–GAP complex, and the mutants (K-Ras4BG12C/G12D/G12V-GTP/GDP, K-Ras4BG13D-GTP/GDP, K-Ras4BQ61H-GTP/GDP) and their complexes with GAP. In addition, we simulated ‘exchanged’ nucleotide states. These comprehensive simulations reveal that in solution K-Ras4BWT-GTP exists in two, active and inactive, conformations. Oncogenic mutations differentially elicit an inactive-to-active conformational transition in K-Ras4B-GTP; in K-Ras4BG12C/G12D-GDP they expose the bound nucleotide which facilitates the GDP-to-GTP exchange. These mechanisms may help elucidate the differential mutational statistics in K-Ras4B-driven cancers. Exchanged nucleotide simulations reveal that the conformational transition is more accessible in the GTP-to-GDP than in the GDP-to-GTP exchange. Importantly, GAP not only donates its R789 arginine finger, but stabilizes the catalytically-competent conformation and pre-organizes catalytic residue Q61; mutations disturb the R789/Q61 organization, impairing GAP-mediated GTP hydrolysis. Together, our simulations help provide a mechanistic explanation of key mutational events in one of the most oncogenic proteins in cancer.

5 August 2021 in Nature Communications
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SLShaoyong Lu
Shaoyong Lu
XHXinheng He
Xinheng He
ZYZhao Yang
Zhao Yang
ZCZongtao Chai
Zongtao Chai
SZShuhua Zhou
Shuhua Zhou
JZJian Zhang
Jian Zhang
G protein-coupled receptors (GPCRs) are the most common proteins targeted by approved drugs. A complete mechanistic elucidation of large-scale conformational transitions underlying the activation mechanisms of GPCRs is of critical importance for therapeutic drug development. Here, we apply a combined computational and experimental framework integrating extensive molecular dynamics simulations, Markov state models, site-directed mutagenesis, and conformational biosensors to investigate the conformational landscape of the angiotensin II (AngII) type 1 receptor (AT 1 receptor) — a prototypical class A GPCR—activation. Our findings suggest a synergistic transition mechanism for AT 1 receptor activation. A key intermediate state is identified in the activation pathway, which possesses a cryptic binding site within the intracellular region of the receptor. Mutation of this cryptic site prevents activation of the downstream G protein signaling and β-arrestin-mediated pathways by the endogenous AngII octapeptide agonist, suggesting an allosteric regulatory mechanism. Together, these findings provide a deeper understanding of AT 1 receptor activation at an atomic level and suggest avenues for the design of allosteric AT 1 receptor modulators with a broad range of applications in GPCR biology, biophysics, and medicinal chemistry.

9 July 2013 in Bioinformatics
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Journal Article
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WHWenkang Huang
Wenkang Huang
SLShaoyong Lu
Shaoyong Lu
ZHZhimin Huang
Zhimin Huang
XLXinyi Liu
Xinyi Liu
LMLinkai Mou
Linkai Mou
JZJian Zhang
Jian Zhang
Motivation: The use of allosteric modulators as preferred therapeutic agents against classic orthosteric ligands has colossal advantages, including higher specificity, fewer side effects and lower toxicity. Therefore, the computational prediction of allosteric sites in proteins is receiving increased attention in the field of drug discovery. Allosite is a newly developed automatic tool for the prediction of allosteric sites in proteins of interest and is now available through a web server. Availability: The Allosite server and tutorials are freely available at http://mdl.shsmu.edu.cn/AST Contact:jian.zhang@sjtu.edu.cn Supplementary information: Supplementary data are available at Bioinformatics online.

11 July 2016 in Chemical Society Reviews
Verified
Journal Article
Closed access
PDF file
SLShaoyong Lu
Shaoyong Lu
HJHyunbum Jang
Hyunbum Jang
SGShuo Gu
Shuo Gu
JZJian Zhang
Jian Zhang
Ruth NussinovRuth Nussinov
Ruth Nussinov
Ras proteins are small GTPases, cycling between inactive GDP-bound and active GTP-bound states. Through these switches they regulate signaling that controls cell growth and proliferation. Activating Ras mutations are associated with approximately 30% of human cancers, which are frequently resistant to standard therapies. Over the past few years, structural biology and in silico drug design, coupled with improved screening technology, led to a handful of promising inhibitors, raising the possibility of drugging Ras proteins. At the same time, the invariable emergence of drug resistance argues for the critical importance of additionally honing in on signaling pathways which are likely to be involved. Here we overview current advances in Ras structural knowledge, including the conformational dynamic of full-length Ras in solution and at the membrane, therapeutic inhibition of Ras activity by targeting its active site, allosteric sites, and Ras–effector protein–protein interfaces, Ras dimers, the K-Ras4B/calmodulin/PI3Kα trimer, and targeting Ras with siRNA. To mitigate drug resistance, we propose signaling pathways that can be co-targeted along with Ras and explain why. These include pathways leading to the expression (or activation) of YAP1 and c-Myc. We postulate that these and Ras signaling pathways, MAPK/ERK and PI3K/Akt/mTOR, act independently and in corresponding ways in cell cycle control. The structural data are instrumental in the discovery and development of Ras inhibitors for treating RAS-driven cancers. Together with the signaling blueprints through which drug resistance can evolve, this review provides a comprehensive and innovative master plan for tackling mutant Ras proteins.