RESEARCH: CANCER
FOLDING PROJECT #18710 PROFILE
PROJECT TEAM
Manager(s): Rafal WiewioraInstitution: Roivant Sciences (Silicon Therapeutics)
Project URL: View Project Website
WORK UNIT INFO
Atoms: 46,086Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Scientists are testing a new computer model called FPOP to find promising cancer treatments. They're using it on beta-lactamase TEM-1, a well-studied protein, and sharing all the data publicly. This project is a partnership between Folding@home and Roivant Sciences.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Here we are collecting data to test a new experimental reweighting method called FPOP (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6690683/) fot use in modeling of new cancer target hits.
The protein running is the old friend, beta-lactamase TEM-1, for which plenty of experimental data exists. 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.
RELATED TERMS GLOSSARY AI BETA
FPOP
Experimental reweighting method for protein modeling
FPOP stands for Fold-Protein Optimization Protocol. It's a new technique being used to improve the accuracy of computer models predicting how proteins fold. This is important for drug discovery, as understanding how proteins fold can help scientists design drugs that interact with them more effectively.
beta-lactamase
An enzyme that breaks down beta-lactam antibiotics
Beta-lactamase is an enzyme produced by some bacteria that allows them to resist the effects of certain antibiotics, called beta-lactams. These antibiotics work by interfering with the construction of bacterial cell walls. Beta-lactamases break down the beta-lactam ring in these antibiotics, rendering them ineffective.
TEM-1
A type of beta-lactamase enzyme
TEM-1 is a specific type of beta-lactamase enzyme, commonly found in bacteria like Escherichia coli. It's known for its ability to break down various beta-lactam antibiotics, leading to antibiotic resistance.
Roivant Sciences
A biopharmaceutical company focused on developing new therapies
Roivant Sciences is a pharmaceutical company dedicated to accelerating the development of new drugs. They use innovative approaches and technologies to bring promising treatments to patients faster. Their projects often involve collaborations with academic institutions and other industry partners.
Silicon Therapeutics
A former name for Roivant Sciences
Silicon Therapeutics was the previous name for Roivant Sciences. They rebranded to Roivant Sciences as they expanded their operations and focus.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:27:39|
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 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 4,757,489 | 231,806 | 20.52 | 1 hrs 10 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 4,334,877 | 251,125 | 17.26 | 1 hrs 23 mins |
| 3 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 4,238,785 | 246,059 | 17.23 | 1 hrs 24 mins |
| 4 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 3,977,124 | 246,701 | 16.12 | 1 hrs 29 mins |
| 5 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 3,844,065 | 239,600 | 16.04 | 1 hrs 30 mins |
| 6 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 3,807,838 | 242,322 | 15.71 | 1 hrs 32 mins |
| 7 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,439,453 | 232,040 | 14.82 | 1 hrs 37 mins |
| 8 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 3,276,784 | 228,866 | 14.32 | 1 hrs 41 mins |
| 9 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,257,566 | 230,018 | 14.16 | 1 hrs 42 mins |
| 10 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,028,734 | 222,909 | 13.59 | 1 hrs 46 mins |
| 11 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,826,394 | 220,269 | 12.83 | 1 hrs 52 mins |
| 12 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,791,442 | 217,966 | 12.81 | 1 hrs 52 mins |
| 13 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 2,749,406 | 216,275 | 12.71 | 1 hrs 53 mins |
| 14 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 2,371,728 | 207,547 | 11.43 | 2 hrs 6 mins |
| 15 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,179,061 | 200,606 | 10.86 | 2 hrs 13 mins |
| 16 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,046,413 | 197,120 | 10.38 | 2 hrs 19 mins |
| 17 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 1,939,655 | 195,146 | 9.94 | 2 hrs 25 mins |
| 18 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,823,389 | 188,845 | 9.66 | 2 hrs 29 mins |
| 19 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 1,758,577 | 187,076 | 9.40 | 2 hrs 33 mins |
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|||||||
| 20 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,727,962 | 183,835 | 9.40 | 2 hrs 33 mins |
| 21 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,590,647 | 181,659 | 8.76 | 2 hrs 44 mins |
| 22 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,577,969 | 181,078 | 8.71 | 2 hrs 45 mins |
| 23 | Geforce RTX 3070 Ti Laptop GPU GA104 [Geforce RTX 3070 Ti Laptop GPU] |
Nvidia | GA104 | 1,531,105 | 182,575 | 8.39 | 2 hrs 52 mins |
| 24 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,528,746 | 179,722 | 8.51 | 2 hrs 49 mins |
| 25 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,499,197 | 178,685 | 8.39 | 2 hrs 52 mins |
| 26 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 1,364,253 | 172,226 | 7.92 | 3 hrs 2 mins |
| 27 | A40 GA102GL [A40] |
Nvidia | GA102GL | 1,328,298 | 164,910 | 8.05 | 2 hrs 59 mins |
| 28 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,285,803 | 169,105 | 7.60 | 3 hrs 9 mins |
| 29 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,220,600 | 151,595 | 8.05 | 2 hrs 59 mins |
| 30 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,213,257 | 165,950 | 7.31 | 3 hrs 17 mins |
| 31 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,155,797 | 163,051 | 7.09 | 3 hrs 23 mins |
| 32 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,120,850 | 162,415 | 6.90 | 3 hrs 29 mins |
| 33 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 1,045,319 | 160,053 | 6.53 | 3 hrs 40 mins |
| 34 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,036,598 | 157,980 | 6.56 | 3 hrs 39 mins |
| 35 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,005,850 | 155,928 | 6.45 | 3 hrs 43 mins |
| 36 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 997,142 | 157,845 | 6.32 | 3 hrs 48 mins |
| 37 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 921,618 | 151,836 | 6.07 | 3 hrs 57 mins |
| 38 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 917,580 | 151,863 | 6.04 | 3 hrs 58 mins |
| 39 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 908,964 | 148,462 | 6.12 | 3 hrs 55 mins |
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|
|||||||
| 40 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 740,330 | 140,685 | 5.26 | 4 hrs 34 mins |
| 41 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 700,566 | 138,056 | 5.07 | 4 hrs 44 mins |
| 42 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 651,848 | 136,269 | 4.78 | 5 hrs 1 mins |
| 43 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 612,650 | 136,698 | 4.48 | 5 hrs 21 mins |
| 44 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 595,317 | 121,346 | 4.91 | 4 hrs 54 mins |
| 45 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 577,030 | 129,495 | 4.46 | 5 hrs 23 mins |
| 46 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 522,660 | 126,798 | 4.12 | 5 hrs 49 mins |
| 47 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 498,733 | 123,026 | 4.05 | 5 hrs 55 mins |
| 48 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 425,623 | 116,873 | 3.64 | 6 hrs 35 mins |
| 49 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 345,300 | 111,836 | 3.09 | 7 hrs 46 mins |
| 50 | GeForce GTX 980M GM204 [GeForce GTX 980M] 3189 |
Nvidia | GM204 | 331,869 | 104,356 | 3.18 | 7 hrs 33 mins |
| 51 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 281,426 | 101,809 | 2.76 | 8 hrs 41 mins |
| 52 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 237,371 | 94,853 | 2.50 | 9 hrs 35 mins |
| 53 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 194,007 | 97,941 | 1.98 | 12 hrs 7 mins |
| 54 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 141,461 | 80,837 | 1.75 | 13 hrs 43 mins |
| 55 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 129,498 | 77,906 | 1.66 | 14 hrs 26 mins |
| 56 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 115,260 | 75,501 | 1.53 | 15 hrs 43 mins |
| 57 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 106,252 | 73,688 | 1.44 | 16 hrs 39 mins |
| 58 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 72,159 | 64,826 | 1.11 | 21 hrs 34 mins |
| 59 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 66,913 | 52,197 | 1.28 | 18 hrs 43 mins |
|
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|||||||
| 60 | Quadro P400 GP107GL [Quadro P400] |
Nvidia | GP107GL | 40,620 | 50,439 | 0.81 | 29 hrs 48 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:27:39|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|