PROJECT #17916 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, 16 May 2022 12:52:31

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 9,010,194 347,593 25.92 1 hrs 56 mins
2 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 7,365,461 325,744 22.61 1 hrs 4 mins
3 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 5,653,997 296,877 19.04 1 hrs 16 mins
4 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 5,206,289 284,677 18.29 1 hrs 19 mins
5 RTX A5000
GA102GL [RTX A5000]
Nvidia GA102GL 5,176,920 288,889 17.92 1 hrs 20 mins
6 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,862,465 286,381 16.98 1 hrs 25 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,504,707 276,175 16.31 1 hrs 28 mins
8 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 3,821,262 262,573 14.55 2 hrs 39 mins
9 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,402,633 223,591 10.75 2 hrs 14 mins
10 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,322,380 221,139 10.50 2 hrs 17 mins
11 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 1,932,274 206,896 9.34 3 hrs 34 mins
12 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 1,804,007 201,037 8.97 3 hrs 40 mins
13 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 1,683,949 125,589 13.41 2 hrs 47 mins
14 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,602,788 194,754 8.23 3 hrs 55 mins
15 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,126,687 174,307 6.46 4 hrs 43 mins
16 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,121,813 177,880 6.31 4 hrs 48 mins
17 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 1,047,508 170,531 6.14 4 hrs 54 mins
18 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 976,757 166,445 5.87 4 hrs 5 mins
19 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 756,141 154,012 4.91 5 hrs 53 mins
20 Radeon RX 470/480/570/580/590
Ellesmere XT [Radeon RX 470/480/570/580/590]
AMD Ellesmere XT 409,425 124,124 3.30 7 hrs 17 mins
21 P106-090
GP106 [P106-090]
Nvidia GP106 300,637 112,791 2.67 9 hrs 0 mins
22 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 133,562 85,667 1.56 15 hrs 24 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

PPDDB data as of Monday, 16 May 2022 12:52:31

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