Prati
Tyler M Earnest
Tyler M Earnest
PhD Student, Department of Physics, UIUC
Potvrđena adresa e-pošte na illinois.edu
Naslov
Citirano
Citirano
Godina
Essential metabolism for a minimal cell
M Breuer, TM Earnest, C Merryman, KS Wise, L Sun, MR Lynott, ...
Elife 8, e36842, 2019
1442019
Fundamental behaviors emerge from simulations of a living minimal cell
ZR Thornburg, DM Bianchi, TA Brier, BR Gilbert, TM Earnest, MCR Melo, ...
Cell 185 (2), 345-360. e28, 2022
922022
DNA looping increases the range of bistability in a stochastic model of the lac genetic switch
TM Earnest, E Roberts, M Assaf, K Dahmen, Z Luthey-Schulten
Physical biology 10 (2), 026002, 2013
512013
Simulating biological processes: stochastic physics from whole cells to colonies
TM Earnest, JA Cole, Z Luthey-Schulten
Reports on Progress in Physics 81 (5), 052601, 2018
372018
Toward a whole-cell model of ribosome biogenesis: kinetic modeling of SSU assembly
TM Earnest, J Lai, K Chen, MJ Hallock, JR Williamson, Z Luthey-Schulten
Biophysical journal 109 (6), 1117-1135, 2015
302015
Single-molecule packaging initiation in real time by a viral DNA packaging machine from bacteriophage T4
R Vafabakhsh, K Kondabagil, T Earnest, KS Lee, Z Zhang, L Dai, ...
Proceedings of the National Academy of Sciences 111 (42), 15096-15101, 2014
272014
Challenges of integrating stochastic dynamics and cryo-electron tomograms in whole-cell simulations
TM Earnest, R Watanabe, JE Stone, J Mahamid, W Baumeister, E Villa, ...
The Journal of Physical Chemistry B 121 (15), 3871-3881, 2017
172017
Ribosome biogenesis in replicating cells: integration of experiment and theory
TM Earnest, JA Cole, JR Peterson, MJ Hallock, TE Kuhlman, ...
Biopolymers 105 (10), 735-751, 2016
172016
Hybrid CME–ODE method for efficient simulation of the galactose switch in yeast
DM Bianchi, JR Peterson, TM Earnest, MJ Hallock, Z Luthey‐Schulten
IET Systems Biology 12 (4), 170-176, 2018
92018
Reverse-chaperoning activity of an AAA+ protein
C Liu, MC McKinney, YH Chen, TM Earnest, X Shi, LJ Lin, Y Ishino, ...
Biophysical journal 100 (5), 1344-1352, 2011
52011
Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform
FM Howard, G He, JR Peterson, JR Pfeiffer, T Earnest, AT Pearson, H Abe, ...
Breast Cancer Research and Treatment 196 (1), 57-66, 2022
42022
SimBioSys TumorScope: Spatio-temporal modeling of the tumor microenvironment to predict chemotherapeutic response.
JA Cole, JR Peterson, TM Earnest, MJ Hallock, JR Pfeiffer, T Pandey, ...
Journal of Clinical Oncology 38 (15_suppl), e12650-e12650, 2020
22020
Nonlinear Sigma Model
CC Chen, T Earnest
University of Illinois, 1995
21995
Abstract P1-08-31: Simbiosys tumorscope: Biophysical modeling of patient-specific response to chemotherapy
JA Cole Jr, JR Peterson, TM Earnest, MJ Hallock, DJ Cook, E Braun, ...
Cancer Research 82 (4_Supplement), P1-08-31-P1-08-31, 2022
12022
Need for systematic de-escalation of care in HER2+ breast cancer patients.
T Pandey, TM Earnest, JA Cole, E Braun
Journal of Clinical Oncology 38 (15_suppl), e12657-e12657, 2020
12020
Abstract P1-06-04: SimBioSys TumorScope: Spatio-temporal modeling of the breast tumor microenvironment accurately predicts chemotherapeutic response
JA Cole Jr, JR Peterson, TM Earnest, MJ Hallock, E Braun
Cancer Research 80 (4_Supplement), P1-06-04-P1-06-04, 2020
12020
Stochastic and physical modeling of fundamental biological processes
TM Earnest
University of Illinois at Urbana-Champaign, 2016
12016
Corrigendum: DNA looping increases the range of bistability in a stochastic model of the lac genetic switch (2013 Phys. Biol. 10 026002)
TM Earnest, E Roberts, M Assaf, K Dahmen, Z Luthey-Schulten
Physical Biology 11 (2), 029501, 2014
12014
Learning to target CDK4/6 inhibitor resistance via a breast cancer-specific atlas of cellular mechanisms
A Yaari, E Farias, F Guedes, O Priebe, L McDaniel, T Earnest, T Ideker, ...
Cancer Research 84 (6_Supplement), 3287-3287, 2024
2024
Seeing Beyond Cancer: Multi-Institutional Validation of Object Localization and 3D Semantic Segmentation using Deep Learning for Breast MRI
A Pekis, V Kannan, E Kaklamanos, A Antony, S Patel, T Earnest
arXiv preprint arXiv:2311.16213, 2023
2023
Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.
Članci 1–20