PROJECT #17901 RESEARCH FOR MEMBRANE TRANSPORT
FOLDING PERFORMANCE PROFILE

PROJECT SUMMARY

Measuring the Effects of Post-translational Modification on Membrane Transporter Function and Oligomerization: Membrane transporters possess terminal tails which can variably regulate their substrate recognition, gating dynamics, and oligomerization (see https://royalsocietypublishing.org/doi/full/10.1098/rsob.190083 for a review).

To reflect physiological conditions and satisfy the instantaneous demands of cells, these termini are known to be post-translationally modified (PTM).

PTMs, like phosphorylation, have been shown to regulate transporter function through allostery or direct local interactions, thus blocking transmembrane substrate import and/or export. Simulations in this project will be focused on studying how C-terminal phosphorylation affects oligomerization dynamics of a sugar transporter.

While a basic protein folding problem, understanding how PTMs affect transporter oligomerization, and oligomer dynamics, is critical for understanding biological regulations for basal transport activity.

This study's ability to observe how terminal PTMs may influence sugar transport dynamics has implications for studying cells in altered metabolic states..

PROJECT INFO

Manager(s): Austin Weigle

Institution: University of Illinois at Urbana-Champaign

Project URL: https://shuklagroup.org/

PROJECT WORK UNIT SUMMARY

Atoms: 179,534

Core: OPENMM_22

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Monday, 03 October 2022 12:16:32

Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
1 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 9,553,528 352,984 27.07 1 hrs 53 mins
2 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 8,438,597 341,841 24.69 1 hrs 58 mins
3 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 7,995,984 330,190 24.22 1 hrs 59 mins
4 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 5,491,169 295,486 18.58 1 hrs 17 mins
5 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 5,479,094 297,705 18.40 1 hrs 18 mins
6 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 5,264,288 290,228 18.14 1 hrs 19 mins
7 RTX A5000
GA102GL [RTX A5000]
Nvidia GA102GL 5,195,387 290,601 17.88 1 hrs 21 mins
8 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 5,072,835 285,716 17.75 1 hrs 21 mins
9 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 4,207,496 271,061 15.52 2 hrs 33 mins
10 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,223,972 247,264 13.04 2 hrs 50 mins
11 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 3,062,575 244,520 12.52 2 hrs 55 mins
12 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,663,301 232,381 11.46 2 hrs 6 mins
13 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,039,057 210,070 9.71 2 hrs 28 mins
14 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,681,339 179,839 9.35 3 hrs 34 mins
15 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,527,372 192,850 7.92 3 hrs 2 mins
16 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,270,049 182,224 6.97 3 hrs 27 mins
17 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 945,522 162,860 5.81 4 hrs 8 mins
18 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 777,542 153,719 5.06 5 hrs 45 mins
19 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 529,547 135,867 3.90 6 hrs 9 mins
20 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 362,570 120,042 3.02 8 hrs 57 mins
21 P106-090
GP106 [P106-090]
Nvidia GP106 310,805 113,836 2.73 9 hrs 47 mins
22 GeForce GTX 770
GK104 [GeForce GTX 770] 3213
Nvidia GK104 160,215 91,364 1.75 14 hrs 41 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

PPDDB data as of Monday, 03 October 2022 12:16:32

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make