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Duan Ni
Researcher at Shanghai Jiao Tong University
Publications - 34
Citations - 1049
Duan Ni is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Allosteric regulation & Chemistry. The author has an hindex of 13, co-authored 26 publications receiving 485 citations.
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Allosteric Modulator Discovery: From Serendipity to Structure-Based Design.
TL;DR: This Perspective aimed to increase the awareness of the feasibility of the structure-based discovery of allosteric modulators using an integrated computational and experimental paradigm and highlighted successful examples with their combined applications.
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Activation pathway of a G protein-coupled receptor uncovers conformational intermediates as targets for allosteric drug design.
Shaoyong Lu,Xinheng He,Zhao Yang,Zongtao Chai,Shuhua Zhou,Junyan Wang,Ashfaq Ur Rehman,Duan Ni,Jun Pu,Jinpeng Sun,Jian Zhang,Jian Zhang +11 more
TL;DR: A combined computational and experimental framework that integrated extensive molecular dynamics simulations, Markov state models, and site-directed mutagenesis is utilized for investigating the conformational landscape of activation of the angiotensin II type 1 receptor (AT1R), a prototypical class A GPCR, suggesting a synergistic transition mechanism of AT1R activation.
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Discovery of hidden allosteric sites as novel targets for allosteric drug design
TL;DR: The discovery of hidden allosteric sites offers a new avenue for facilitating drug design by greatly expanding the repertoire of available drug targets, contributing to the search for allosterics drugs for the treatment of human diseases.
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Emerging roles of allosteric modulators in the regulation of protein-protein interactions (PPIs): A new paradigm for PPI drug discovery.
Duan Ni,Shaoyong Lu,Jian Zhang +2 more
TL;DR: This review comprehensively review the recent progress in the development of allosteric modulators to inhibit or stabilize PPIs and presents different approaches for investigating PPIs, as well as the latest methods for modulating PPIs.
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Discovery of cryptic allosteric sites using reversed allosteric communication by a combined computational and experimental strategy.
Duan Ni,Jiacheng Wei,Xinheng He,Ashfaq Ur Rehman,Xinyi Li,Yuran Qiu,Jun Pu,Shaoyong Lu,Jian Zhang,Jian Zhang +9 more
TL;DR: This study proposed a state-of-the-art computational pipeline for detecting allosteric sites based on reversedallosteric communication, which enabled the identification of a previously uncharacterized potential crypticAllosteric site on Sirt6, which provides a starting point for allostero-drug design that can aid the Identification of candidate pockets in other therapeutic targets.