PROJECT #18039 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE

PROJECT SUMMARY

We are simulating publicly available protein and small molecule structures of the currently very hot cancer target KRas, see https://www.fiercepharma.com/pharma/amgen-s-lumakras-becomes-first-fda-approved-kras-inhibitor-for-lung-cancer-patients for recent developments.

Folding@home has previously looked at this protein (in project 10490), and the following part of the description is copied from there: This project is "studying a small protein called KRAS, which forms a key link in growth signaling and cancer.

This gene is something like a molecular switch with a timer.

When it is bound to a molecule called GDP, it is off, and does not signal that the cell should grow.

However, other proteins can cause it to swap its GDP for a GTP, turning KRAS on.

In the on state, it signals that the cell should grow and divide.

Normally, after some time, KRAS, with the aid of some partners, will chemically convert its GTP to GDP and return to its inactive state. In many cancers, this protein becomes mutated, and cannot return to its off state.

The result? The cells continue to divide without limit.

What’s worse, cancers with this protein mutated tend to have much poorer prognoses.

As a result, scientists have been trying to target this protein for decades." We are investigating the dynamic behavior of KRas with these publicly disclosed inhibitors so that we can apply this knowledge to our own drug design.

At the same time, we are further testing the adaptive sampling methodology.

All data is being made publicly available at https://console.cloud.google.com/storage/browser/stxfah-bucket, and insights from methodology developments will be shared.

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: 130,000

Core: OPENMM_22

Status: Public

PROJECT FOLDING PPD AVERAGES BY GPU

PPDDB data as of Sunday, 02 October 2022 12:16:29

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 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 8,055,501 890,937 9.04 3 hrs 39 mins
2 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 6,548,497 816,872 8.02 3 hrs 60 mins
3 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,112,431 806,583 7.58 3 hrs 10 mins
4 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 5,997,828 789,538 7.60 3 hrs 10 mins
5 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 5,239,842 763,444 6.86 3 hrs 30 mins
6 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,498,200 737,260 6.10 4 hrs 56 mins
7 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,375,579 728,557 6.01 4 hrs 60 mins
8 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 3,993,959 701,382 5.69 4 hrs 13 mins
9 RTX A5000
GA102GL [RTX A5000]
Nvidia GA102GL 3,820,018 697,974 5.47 4 hrs 23 mins
10 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,713,119 674,287 5.51 4 hrs 21 mins
11 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 3,521,353 666,690 5.28 5 hrs 33 mins
12 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,504,892 672,490 5.21 5 hrs 36 mins
13 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,788,929 618,762 4.51 5 hrs 19 mins
14 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 2,718,648 626,019 4.34 6 hrs 32 mins
15 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,415,123 586,868 4.12 6 hrs 50 mins
16 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 2,271,649 581,597 3.91 6 hrs 9 mins
17 GeForce RTX 3070 Mobile / Max-Q
GA104M [GeForce RTX 3070 Mobile / Max-Q]
Nvidia GA104M 2,178,399 571,883 3.81 6 hrs 18 mins
18 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,080,789 582,752 3.57 7 hrs 43 mins
19 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 1,987,168 554,856 3.58 7 hrs 42 mins
20 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 1,899,250 566,518 3.35 7 hrs 10 mins
21 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 1,862,846 548,941 3.39 7 hrs 4 mins
22 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 1,857,458 542,822 3.42 7 hrs 1 mins
23 Radeon RX 6800/6800 XT / 6900 XT
Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]
AMD Navi 21 1,843,181 536,675 3.43 7 hrs 59 mins
24 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 1,647,707 524,738 3.14 8 hrs 39 mins
25 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,472,239 501,856 2.93 8 hrs 11 mins
26 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,379,464 507,849 2.72 9 hrs 50 mins
27 Radeon RX 5600 OEM/5600 XT/5700/5700 XT
Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT]
AMD Navi 10 1,232,630 476,397 2.59 9 hrs 17 mins
28 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,143,597 471,580 2.43 10 hrs 54 mins
29 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,136,675 478,058 2.38 10 hrs 6 mins
30 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,061,465 458,697 2.31 10 hrs 22 mins
31 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,002,580 442,471 2.27 11 hrs 36 mins
32 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 974,501 448,113 2.17 11 hrs 2 mins
33 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 954,446 499,889 1.91 13 hrs 34 mins
34 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 928,292 429,974 2.16 11 hrs 7 mins
35 Radeon Pro W5700
Navi 10 [Radeon Pro W5700]
AMD Navi 10 882,145 460,169 1.92 13 hrs 31 mins
36 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 873,563 451,301 1.94 12 hrs 24 mins
37 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 846,135 419,150 2.02 12 hrs 53 mins
38 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 766,987 364,283 2.11 11 hrs 24 mins
39 Radeon R9 Fury X
Fiji XT [Radeon R9 Fury X]
AMD Fiji XT 713,703 394,849 1.81 13 hrs 17 mins
40 Radeon RX 5500/5500M / Pro 5500M
Navi 14 [Radeon RX 5500/5500M / Pro 5500M]
AMD Navi 14 564,572 365,476 1.54 16 hrs 32 mins
41 Radeon RX 470/480/570/580/590
Ellesmere XT [Radeon RX 470/480/570/580/590]
AMD Ellesmere XT 451,827 356,431 1.27 19 hrs 56 mins
42 T600
TU117GL [T600]
Intel TU117GL 288,958 293,288 0.99 24 hrs 22 mins
43 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 283,999 324,374 0.88 27 hrs 25 mins
44 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 183,268 245,464 0.75 32 hrs 9 mins
45 Radeon R9 200 Series
Hawaii [Radeon R9 200 Series]
AMD Hawaii 111,953 241,000 0.46 52 hrs 40 mins
46 Radeon WX 3100
[Radeon WX 3100]
AMD 101,651 241,000 0.42 57 hrs 54 mins
47 Radeon R7/R6/R5 Series
Carrizo [Radeon R7/R6/R5 Series]
AMD Carrizo 34,111 241,000 0.14 170 hrs 34 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

PPDDB data as of Sunday, 02 October 2022 12:16:29

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