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Gianmarc Grazioli
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m1A and m1G disrupt A-RNA structure through the intrinsic instability of Hoogsteen base pairs
H Zhou, IJ Kimsey, EN Nikolova, B Sathyamoorthy, G Grazioli, J McSally, ...
Nature structural & molecular biology 23 (9), 803-810, 2016
1192016
Comparative exploratory analysis of intrinsically disordered protein dynamics using machine learning and network analytic methods
G Grazioli, RW Martin, CT Butts
Frontiers in molecular biosciences 6, 42, 2019
282019
Advances in milestoning. I. Enhanced sampling via wind-assisted reweighted milestoning (WARM)
G Grazioli, I Andricioaei
The Journal of Chemical Physics 149 (8), 2018
202018
Network-based classification and modeling of amyloid fibrils
G Grazioli, Y Yu, MH Unhelkar, RW Martin, CT Butts
The Journal of Physical Chemistry B 123 (26), 5452-5462, 2019
182019
Advances in milestoning. II. Calculating time-correlation functions from milestoning using stochastic path integrals
G Grazioli, I Andricioaei
The Journal of Chemical Physics 149 (8), 2018
112018
Network Hamiltonian models reveal pathways to amyloid fibril formation
Y Yu, G Grazioli, MH Unhelkar, RW Martin, CT Butts
Scientific reports 10 (1), 15668, 2020
102020
Predicting reaction products and automating reactive trajectory characterization in molecular simulations with support vector machines
G Grazioli, S Roy, CT Butts
Journal of chemical information and modeling 59 (6), 2753-2764, 2019
82019
Rate turnover in mechano-catalytic coupling: A model and its microscopic origin
M Roy, G Grazioli, I Andricioaei
The Journal of chemical physics 143 (4), 2015
82015
Automated placement of interfaces in conformational kinetics calculations using machine learning
G Grazioli, CT Butts, I Andricioaei
The Journal of Chemical Physics 147 (15), 2017
62017
Neural upscaling from residue-level protein structure networks to atomistic structures
VT Duong, EM Diessner, G Grazioli, RW Martin, CT Butts
Biomolecules 11 (12), 1788, 2021
52021
Foregrounding the code: Computational chemistry instructional activities using a highly readable fluid simulation code
G Grazioli, A Ingwerson, D Santiago Jr, P Regan, H Cho
Journal of Chemical Education 100 (3), 1155-1163, 2023
42023
Local graph stability in exponential family random graph models
Y Yu, G Grazioli, NE Phillips, CT Butts
SIAM Journal on Applied Mathematics 81 (4), 1389-1415, 2021
42021
Calculating Watson-Crick to Hoogsteen transition kinetics in DNA with Langevin dynamics and Fokker-Planck diffusion in reduced configuration space
G Grazioli, I Andricioaei
Biophysical Journal 110 (3), 404a-405a, 2016
12016
Genetic Algorithm for Automated Parameterization of Network Hamiltonian Models of Amyloid Fibril Formation
G Grazioli, A Tao, I Bhatia, P Regan
The Journal of Physical Chemistry B, 2024
2024
Investigating intracellular SIRT1 regulation mechanisms using molecular dynamics simulations and machine learning
HL Bui, J Prado, N Wang, G Grazioli
Biophysical Journal 123 (3), 551a, 2024
2024
Simulated evolution of optimal network Hamiltonian models for 5 amyloid fibril topologies using a genetic algorithm
G Grazioli, A Tao, A Pham
Biophysical Journal 123 (3), 548a, 2024
2024
Simulated mechanical testing of amyloid fibril structures using molecular dynamics simulations with enhanced sampling
AR Ingwerson, G Grazioli
Biophysical Journal 122 (3), 138a-139a, 2023
2023
Reconstructing atomistic structures from residue-level protein structure networks using artificial neural networks
G Grazioli, V Duong, E Diessner, RW Martin, CT Butts
Biophysical Journal 121 (3), 133a, 2022
2022
Algorithms for Parameterizing Network Hamiltonians for Simulations of Amyloid Fibril Self-assembly
G Grazioli, Y Yu, MH Unhelkar, RW Martin, CT Butts
Biophysical Journal 118 (3), 306a, 2020
2020
Geometric approach toward identifying stable parameters for network Hamiltonians governing amyloid fibril formation
G Grazioli, Y Yu, C Butts
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 258, 2019
2019
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Articles 1–20