PROJECT #18108 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
Here we are testing what has long been the dream on F@h --- adaptive sampling algorithms guided by experimental data.
The system used is caspase-7, one of a family of important mediators of apoptosis, and hence of interest for cancer drug design.
We have collected experimental hydrogen-deuterium exchange (HDX) data (which informs on the extent of fluctuations of each region of the protein) in both apo (just protein) and holo (protein with another peptide bound) states, and are exploring adaptive sampling algorithms to reproduce the HDX data in each state separately, as well as the differences ('shielding') between them.
All data is being made publicly available at https://console.cloud.google.com/storage/browser/stxfah-bucket, and insight into the algorithmic methodology will be published. This is a project run by Roivant Sciences (formerly Silicon Therapeutics) as was officially announced in this press release: https://foldingathome.org/2021/04/20/maximizing-the-impact-of-foldinghome-by-engaging-industry-collaborators/ All data is being made publicly available as soon as it is received at https://console.cloud.google.com/storage/browser/stxfah-bucket.
PROJECT INFO
Manager(s): Rafal Wiewiora
Institution: Roivant Sciences (Silicon Therapeutics)
Project URL: roivant.com
PROJECT WORK UNIT SUMMARY
Atoms: 86,257
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Sunday, 26 June 2022 09:57:00
|
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 | 6,336,649 | 541,642 | 11.70 | 2 hrs 3 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 5,761,289 | 520,043 | 11.08 | 2 hrs 10 mins |
| 3 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,060,582 | 465,710 | 8.72 | 3 hrs 45 mins |
| 4 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,043,098 | 467,161 | 8.65 | 3 hrs 46 mins |
| 5 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,588,141 | 447,519 | 8.02 | 3 hrs 60 mins |
| 6 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 3,014,760 | 423,294 | 7.12 | 3 hrs 22 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,756,772 | 410,365 | 6.72 | 4 hrs 34 mins |
| 8 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,524,148 | 398,744 | 6.33 | 4 hrs 47 mins |
| 9 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,351,049 | 390,468 | 6.02 | 4 hrs 59 mins |
| 10 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,341,176 | 388,097 | 6.03 | 4 hrs 59 mins |
| 11 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,254,395 | 384,203 | 5.87 | 4 hrs 5 mins |
| 12 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,152,881 | 378,772 | 5.68 | 4 hrs 13 mins |
| 13 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 1,940,097 | 364,987 | 5.32 | 5 hrs 31 mins |
| 14 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,821,615 | 358,681 | 5.08 | 5 hrs 44 mins |
| 15 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,813,315 | 357,015 | 5.08 | 5 hrs 44 mins |
| 16 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,190,451 | 310,555 | 3.83 | 6 hrs 16 mins |
| 17 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,132,430 | 305,183 | 3.71 | 6 hrs 28 mins |
| 18 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 938,889 | 286,893 | 3.27 | 7 hrs 20 mins |
| 19 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 813,717 | 263,409 | 3.09 | 8 hrs 46 mins |
| 20 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 638,560 | 253,773 | 2.52 | 10 hrs 32 mins |
| 21 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 559,344 | 241,718 | 2.31 | 10 hrs 22 mins |
| 22 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 502,138 | 233,439 | 2.15 | 11 hrs 9 mins |
| 23 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 306,269 | 197,560 | 1.55 | 15 hrs 29 mins |
| 24 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 244,438 | 134,841 | 1.81 | 13 hrs 14 mins |
| 25 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 104,443 | 133,474 | 0.78 | 31 hrs 40 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Sunday, 26 June 2022 09:57:00
|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|
Legal Information: This sites use is for entertainment purposes only and comes with no guarantees or warranties in its use or related to any data displayed, collected or calcuated. This site is not affilated with folding@home or any folding team or GPU / CPU company in any official capacity and is an enthusiast creation in support of folding@home and the users / teams folding data for the greater good.
Please Note: By using this site, and / or our chrome extension you understand that you may be periodically providing information such as your IP, stats regarding use of our site, and folding@home GPU / CPU model, Work Unit ID and PPD estimate data when using our Chrome extention to the site developer for site optimization and PPD related data displayed on the site.
IF YOU DO NOT WISH TO CONTRIBUTE DATA TO THE PPD DATABASE PLEASE UNINSTALL OUR PLUGIN/TOOLS AND DISCONTINUE USE OF THIS SITE IMMEDIATELY.