Susan Marqusee

Susan Marqusee


Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

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

Representative Publications

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23 September 2005 in Science
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Journal Article
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CCCiro Cecconi
Ciro Cecconi
ESElizabeth A. Shank
Elizabeth A. Shank
CBCarlos Bustamante
Carlos Bustamante
SMSusan Marqusee
Susan Marqusee
We used force-measuring optical tweezers to induce complete mechanical unfolding and refolding of individual Escherichia coli ribonuclease H (RNase H) molecules. The protein unfolds in a two-state manner and refolds through an intermediate that correlates with the transient molten globule–like intermediate observed in bulk studies. This intermediate displays unusual mechanical compliance and unfolds at substantially lower forces than the native state. In a narrow range of forces, the molecule hops between the unfolded and intermediate states in real time. Occasionally, hopping was observed to stop as the molecule crossed the folding barrier directly from the intermediate, demonstrating that the intermediate is on-pathway. These studies allow us to map the energy landscape of RNase H.

17 February 2015 in Proceedings of the National Academy of Sciences
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Journal Article
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GBGregory R. Bowman
Gregory R. Bowman
EBEric R. Bolin
Eric R. Bolin
KHKathryn M. Hart
Kathryn M. Hart
BMBrendan C. Maguire
Brendan C. Maguire
SMSusan Marqusee
Susan Marqusee
Significance: Rational drug design efforts typically focus on identifying inhibitors that bind to protein active sites. Pockets that are not present in crystallographic structures yet can exert allosteric (i.e., long-range) control over distant active sites present an exciting alternative. However, identifying these hidden allosteric sites is extremely challenging because one usually has to simultaneously find a small molecule that binds to and stabilizes the open conformation of the pocket. Here, we present a means of combining advances in computer modeling—using Markov state models to capture long timescale dynamics—with biophysical experiments to identify hidden allosteric sites without requiring the simultaneous discovery of drug-like compounds that bind them. Using this technology, we discover multiple hidden allosteric sites in a single protein.

23 May 2010 in Nature
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Journal Article
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ESElizabeth A. Shank
Elizabeth A. Shank
CCCiro Cecconi
Ciro Cecconi
JDJesse W. Dill
Jesse W. Dill
SMSusan Marqusee
Susan Marqusee
CBCarlos Bustamante
Carlos Bustamante

2 March 2022 in Nature Structural & Molecular Biology
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Journal Article
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SCShawn M. Costello
Shawn M. Costello
SSSophie R. Shoemaker
Sophie R. Shoemaker
HHHelen T. Hobbs
Helen T. Hobbs
ANAnnalee W Nguyen
Annalee W Nguyen
CHChing-Lin Hsieh
Ching-Lin Hsieh
SMSusan Marqusee
Susan Marqusee

2 March 2020 in Nature Structural & Molecular Biology
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Journal Article
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LOLuke M. Oltrogge
Luke M. Oltrogge
TCThawatchai Chaijarasphong
Thawatchai Chaijarasphong
ACAllen W. Chen
Allen W. Chen
EBEric R. Bolin
Eric R. Bolin
SMSusan Marqusee
Susan Marqusee
DSDavid F. Savage
David F. Savage

1 June 2016 in Current Opinion in Structural Biology
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Journal Article
Closed access
LWLucas C Wheeler
Lucas C Wheeler
SLShion A Lim
Shion A Lim
SMSusan Marqusee
Susan Marqusee
MHMichael J Harms
Michael J Harms