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Matthew Hurley
Matthew Hurley
PhD Candidate in Computational Biophysics, Temple University
Verified email at temple.edu - Homepage
Title
Cited by
Cited by
Year
SARS-CoV-2 simulations go exascale to capture spike opening and reveal cryptic pockets across the proteome
MI Zimmerman, G Bowman
Biophysical Journal 120 (3), 299a, 2021
2232021
SARS-CoV-2 infects the human kidney and drives fibrosis in kidney organoids
J Jansen, KC Reimer, JS Nagai, FS Varghese, GJ Overheul, M de Beer, ...
Cell Stem Cell 29 (2), 217-231. e8, 2022
1742022
COVID moonshot: open science discovery of SARS-CoV-2 main protease inhibitors by combining crowdsourcing, high-throughput experiments, computational simulations, and machine …
H Achdout, A Aimon, E Bar-David, GM Morris
BioRxiv, 2020
542020
Assigning confidence to molecular property prediction
AK Nigam, R Pollice, MFD Hurley, RJ Hickman, M Aldeghi, N Yoshikawa, ...
Expert opinion on drug discovery 16 (9), 1009-1023, 2021
462021
Open Science Discovery of Potent Non-Covalent SARS-CoV-2 Main Protease Inhibitors
COVID Moonshot Consortium, H Achdout, A Aimon, DS Alonzi, R Arbon, ...
BioRxiv, 2020.10. 29.339317, 2020
362020
Fluorinated aromatic monomers as building blocks to control α-peptoid conformation and structure
D Gimenez, G Zhou, MFD Hurley, JA Aguilar, VA Voelz, SL Cobb
Journal of the American Chemical Society 141 (8), 3430-3434, 2019
362019
Citizen scientists create an exascale computer to combat COVID-19
MI Zimmerman, JR Porter, MD Ward, S Singh, N Vithani, A Meller, ...
BioRxiv, 2020.06. 27.175430, 2020
332020
Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors
ML Boby, D Fearon, M Ferla, M Filep, L Koekemoer, MC Robinson, ...
Science 382 (6671), eabo7201, 2023
262023
Collaborative study for the establishment of a WHO international standard for SARS-CoV-2 RNA
E Bentley, ET Mee, S Routley, R Mate, M Fritzsche, M Hurley, Y Le Duff, ...
WHO/BS20202402, 2020
192020
Metal cation-binding mechanisms of q-proline peptoid macrocycles in solution
MFD Hurley, JD Northrup, Y Ge, CE Schafmeister, VA Voelz
Journal of chemical information and modeling 61 (6), 2818-2828, 2021
102021
Metal-binding q-proline macrocycles
JD Northrup, JA Wiener, MFD Hurley, CFD Hou, TM Keller, RHG Baxter, ...
The Journal of Organic Chemistry 86 (6), 4867-4876, 2021
72021
Assessment of the biological impact of SARS-CoV-2 genetic variation using an authentic virus neutralisation assay with convalescent plasma, vaccinee sera, and standard reagents
NS Coombes, KR Bewley, Y Le Duff, M Hurley, LJ Smith, TM Weldon, ...
Viruses 15 (3), 633, 2023
62023
Expanding the malaria antibody toolkit: Development and characterisation of plasmodium falciparum RH5, CyRPA, and CSP recombinant human monoclonal antibodies
A Nacer, G Kivi, R Pert, E Juronen, P Holenya, E Aliprandini, R Amino, ...
Frontiers in Cellular and Infection Microbiology 12, 901253, 2022
52022
SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome. Nat Chem 13: 651-659
MI Zimmerman, JR Porter, MD Ward, S Singh, N Vithani, A Meller, ...
52021
Standardised quantitative assays for anti-SARS-CoV-2 immune response used in vaccine clinical trials by the CEPI Centralized Laboratory Network: a qualification analysis
M Manak, L Gagnon, S Phay-Tran, P Levesque-Damphousse, A Fabie, ...
The Lancet Microbe, 2024
22024
Intrinsic host susceptibility among multiple species to intranasal SARS-CoV-2 identifies diverse virological, biodistribution and pathological outcomes
N Berry, D Ferguson, S Kempster, J Hall, C Ham, A Jenkins, V Rannow, ...
Scientific Reports 12 (1), 18694, 2022
22022
Assessing the variability of cell-associated HIV DNA quantification through a multicenter collaborative study
Y Le Duff, K Gärtner, EJ Busby, A Dalzini, S Danaviah, JLJ Fuentes, ...
Microbiology Spectrum 10 (3), e00243-22, 2022
22022
Expanded ensemble predictions of absolute binding free energies in the SAMPL9 host–guest challenge
MFD Hurley, RM Raddi, JG Pattis, VA Voelz
Physical Chemistry Chemical Physics 25 (47), 32393-32406, 2023
12023
Application of Established Computational Techniques to Identify Potential SARS-CoV-2 Nsp14-MTase Inhibitors in Low Data Regimes
AK Nigam, MFD Hurley, F Lu, E Konkoľová, M Klima, J Trylčová, R Pollice, ...
Digital Discovery, 2024
2024
Drug Discovery in Low Data Regimes: Leveraging a Computational Pipeline for the Discovery of Novel SARS-CoV-2 Nsp14-MTase Inhibitors
AK Nigam, MFD Hurley, F Li, E Konkoľová, M Klíma, J Trylčová, R Pollice, ...
bioRxiv, 2023
2023
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