Flora Meilleur

Dr. Flora Meilleur

North Carolina State University, Raleigh, United States & Oak Ridge National Laboratory, Oak Ridge, TN, USA

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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24 June 2020 in Nature Communications
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Journal Article
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DKDaniel W. Kneller
Daniel W. Kneller
GPGwyndalyn Phillips
Gwyndalyn Phillips
HOHugh M. O’nEill
Hugh M. O’nEill
RJRobert Jedrzejczak
Robert Jedrzejczak
LSLucy Stols
Lucy Stols
AKAndrey Kovalevsky
Andrey Kovalevsky
The COVID-19 disease caused by the SARS-CoV-2 coronavirus has become a pandemic health crisis. An attractive target for antiviral inhibitors is the main protease 3CL Mpro due to its essential role in processing the polyproteins translated from viral RNA. Here we report the room temperature X-ray structure of unliganded SARS-CoV-2 3CL Mpro, revealing the ligand-free structure of the active site and the conformation of the catalytic site cavity at near-physiological temperature. Comparison with previously reported low-temperature ligand-free and inhibitor-bound structures suggest that the room temperature structure may provide more relevant information at physiological temperatures for aiding in molecular docking studies.

16 December 2020 in Journal of Chemical Information and Modeling
Verified
Journal Article
Closed access
AAA. Acharya
A. Acharya
RARupesh Agarwal
Rupesh Agarwal
MBM. B. Baker
M. B. Baker
JBJerome Baudry
Jerome Baudry
DBDebsindhu Bhowmik
Debsindhu Bhowmik
LZL. Zanetti-Polzi
L. Zanetti-Polzi

7 December 2013 in Journal of Applied Crystallography
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Journal Article
Open access
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TGTim Gruene
Tim Gruene
HHHinrich W. Hahn
Hinrich W. Hahn
ALAnna V. Luebben
Anna V. Luebben
Flora MeilleurFlora Meilleur
Flora Meilleur
GSGeorge M. Sheldrick
George M. Sheldrick
Some of the improvements inSHELX2013makeSHELXLconvenient to use for refinement of macromolecular structures against neutron data without the support of X-ray data. The new NEUT instruction adjusts the behaviour of the SFAC instruction as well as the default bond lengths of the AFIX instructions. This work presents a protocol on how to useSHELXLfor refinement of protein structures against neutron data. It includes restraints extending the Engh & Huber [Acta Cryst.(1991), A47, 392–400] restraints to H atoms and discusses several of the features ofSHELXLthat make the program particularly useful for the investigation of H atoms with neutron diffraction.SHELXL2013is already adequate for the refinement of small molecules against neutron data, but there is still room for improvement, like the introduction of chain IDs for the refinement of macromolecular structures.

18 November 2021 in Journal of Chemical Information and Modeling
Verified
Journal Article
Open access
ACAustin Clyde
Austin Clyde
SGStephanie Galanie
Stephanie Galanie
DKDaniel W. Kneller
Daniel W. Kneller
HMHeng Ma
Heng Ma
YBYadu Babuji
Yadu Babuji
RSRick L. Stevens
Rick L. Stevens
Despite the recent availability of vaccines against the acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the search for inhibitory therapeutic agents has assumed importance especially in the context of emerging new viral variants. In this paper, we describe the discovery of a novel noncovalent small-molecule inhibitor, MCULE-5948770040, that binds to and inhibits the SARS-Cov-2 main protease (Mpro) by employing a scalable high-throughput virtual screening (HTVS) framework and a targeted compound library of over 6.5 million molecules that could be readily ordered and purchased. Our HTVS framework leverages the U.S. supercomputing infrastructure achieving nearly 91% resource utilization and nearly 126 million docking calculations per hour. Downstream biochemical assays validate this Mpro inhibitor with an inhibition constant (Ki) of 2.9 μM (95% CI 2.2, 4.0). Furthermore, using room-temperature X-ray crystallography, we show that MCULE-5948770040 binds to a cleft in the primary binding site of Mpro forming stable hydrogen bond and hydrophobic interactions. We then used multiple μs-time scale molecular dynamics (MD) simulations and machine learning (ML) techniques to elucidate how the bound ligand alters the conformational states accessed by Mpro, involving motions both proximal and distal to the binding site. Together, our results demonstrate how MCULE-5948770040 inhibits Mpro and offers a springboard for further therapeutic design.

1 December 2020 in Journal of Biological Chemistry
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Journal Article
Open access
DKDaniel W. Kneller
Daniel W. Kneller
GPGwyndalyn Phillips
Gwyndalyn Phillips
KWKevin L. Weiss
Kevin L. Weiss
SPSwati Pant
Swati Pant
QZQiu Zhang
Qiu Zhang
AKAndrey Kovalevsky
Andrey Kovalevsky
The main protease (3CL Mpro) from SARS–CoV-2, the etiological agent of COVID-19, is an essential enzyme for viral replication. 3CL Mpro possesses an unusual catalytic dyad composed of Cys145 and His41 residues. A critical question in the field has been what the protonation states of the ionizable residues in the substrate-binding active-site cavity are; resolving this point would help understand the catalytic details of the enzyme and inform rational drug development against this pernicious virus. Here, we present the room-temperature neutron structure of 3CL Mpro, which allowed direct determination of hydrogen atom positions and, hence, protonation states in the protease. We observe that the catalytic site natively adopts a zwitterionic reactive form in which Cys145 is in the negatively charged thiolate state and His41 is doubly protonated and positively charged, instead of the neutral unreactive state usually envisaged. The neutron structure also identified the protonation states, and thus electrical charges, of all other amino acid residues and revealed intricate hydrogen-bonding networks in the active-site cavity and at the dimer interface. The fine atomic details present in this structure were made possible by the unique scattering properties of the neutron, which is an ideal probe for locating hydrogen positions and experimentally determining protonation states at near-physiological temperature. Our observations provide critical information for structure-assisted and computational drug design, allowing precise tailoring of inhibitors to the enzyme's electrostatic environment.

1 December 2020 in Structure
Verified
Journal Article
Closed access
DKDaniel W. Kneller
Daniel W. Kneller
SGStephanie Galanie
Stephanie Galanie
GPGwyndalyn Phillips
Gwyndalyn Phillips
HOHugh M. O'NEill
Hugh M. O'NEill
LCLeighton Coates
Leighton Coates
AKAndrey Kovalevsky
Andrey Kovalevsky