RESEARCH: CANCER
FOLDING PROJECT #18002 PROFILE
PROJECT TEAM
Manager(s): Samuel LotzInstitution: Roivant Sciences (prev. Silicon Therapeutics)
Project URL: View Project Website
WORK UNIT INFO
Atoms: 63,451Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project relates to using computer simulations to create new medicines that can destroy harmful proteins in the body. These medicines could be used to treat cancer and other diseases.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
These simulations are helping to develop new Targeted Protein Degradation (TPD) therapies for treating cancer and many other diseases.
RELATED TERMS GLOSSARY AI BETA
Targeted Protein Degradation
TPD
Targeted Protein Degradation (TPD) is a novel approach to treating diseases by promoting the breakdown of specific proteins involved in disease progression. This method utilizes small molecules that bind to target proteins and guide them towards degradation machinery within the cell, effectively reducing their harmful effects.
Therapies
Medical treatments intended to relieve or cure diseases
Therapies are medical interventions designed to treat or manage diseases and improve patient well-being. These can include various approaches such as medication, surgery, radiation therapy, or lifestyle modifications.
Cancer
A disease characterized by uncontrolled cell growth and spread.
Cancer is a group of diseases involving abnormal cell growth with the potential to invade surrounding tissues and spread to other parts of the body. It arises from genetic mutations that disrupt normal cellular processes.
Diseases
Conditions that impair normal bodily function.
Diseases are a broad range of conditions that affect the structure or function of the human body. They can be caused by various factors such as genetic predisposition, infections, lifestyle choices, or environmental exposures.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:33:20|
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 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,691,567 | 296,221 | 12.46 | 1 hrs 56 mins |
| 2 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,525,579 | 260,740 | 9.69 | 2 hrs 29 mins |
| 3 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 1,669,655 | 226,882 | 7.36 | 3 hrs 16 mins |
| 4 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,450,153 | 216,687 | 6.69 | 3 hrs 35 mins |
| 5 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,358,820 | 211,890 | 6.41 | 3 hrs 45 mins |
| 6 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,357,720 | 211,730 | 6.41 | 3 hrs 45 mins |
| 7 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,264,831 | 202,853 | 6.24 | 3 hrs 51 mins |
| 8 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,167,192 | 201,431 | 5.79 | 4 hrs 9 mins |
| 9 | GeForce RTX 2080 SUPER Mobile / Max-Q TU104M [GeForce RTX 2080 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 1,155,636 | 201,297 | 5.74 | 4 hrs 11 mins |
| 10 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,127,983 | 199,240 | 5.66 | 4 hrs 14 mins |
| 11 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,078,072 | 196,314 | 5.49 | 4 hrs 22 mins |
| 12 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 958,108 | 188,519 | 5.08 | 4 hrs 43 mins |
| 13 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 955,879 | 187,562 | 5.10 | 4 hrs 43 mins |
| 14 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 874,255 | 181,891 | 4.81 | 4 hrs 60 mins |
| 15 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 838,080 | 154,823 | 5.41 | 4 hrs 26 mins |
| 16 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 808,497 | 176,355 | 4.58 | 5 hrs 14 mins |
| 17 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 786,782 | 176,596 | 4.46 | 5 hrs 23 mins |
| 18 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 645,556 | 165,257 | 3.91 | 6 hrs 9 mins |
| 19 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 598,574 | 159,491 | 3.75 | 6 hrs 24 mins |
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| 20 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 549,121 | 156,521 | 3.51 | 6 hrs 50 mins |
| 21 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 541,686 | 155,903 | 3.47 | 6 hrs 54 mins |
| 22 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 506,939 | 148,701 | 3.41 | 7 hrs 2 mins |
| 23 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 436,591 | 145,121 | 3.01 | 7 hrs 59 mins |
| 24 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 399,870 | 140,232 | 2.85 | 8 hrs 25 mins |
| 25 | GeForce GTX 1650 Ti Mobile TU116M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU116M | 367,886 | 137,130 | 2.68 | 8 hrs 57 mins |
| 26 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 366,059 | 136,128 | 2.69 | 8 hrs 55 mins |
| 27 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 319,576 | 129,207 | 2.47 | 9 hrs 42 mins |
| 28 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 288,530 | 126,131 | 2.29 | 10 hrs 29 mins |
| 29 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 283,763 | 125,511 | 2.26 | 10 hrs 37 mins |
| 30 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 243,359 | 119,364 | 2.04 | 11 hrs 46 mins |
| 31 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 199,932 | 111,960 | 1.79 | 13 hrs 26 mins |
| 32 | GeForce GTX 690 GK104 [GeForce GTX 690] 3130 |
Nvidia | GK104 | 173,593 | 106,988 | 1.62 | 14 hrs 47 mins |
| 33 | Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series] |
AMD | Hawaii | 163,009 | 98,118 | 1.66 | 14 hrs 27 mins |
| 34 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 160,303 | 104,086 | 1.54 | 15 hrs 35 mins |
| 35 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 110,159 | 91,770 | 1.20 | 19 hrs 60 mins |
| 36 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 99,846 | 88,917 | 1.12 | 21 hrs 22 mins |
| 37 | GeForce GTX 960M GM107 [GeForce GTX 960M] 1439 |
Nvidia | GM107 | 97,845 | 88,318 | 1.11 | 21 hrs 40 mins |
| 38 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 96,894 | 87,246 | 1.11 | 21 hrs 37 mins |
| 39 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 92,507 | 86,157 | 1.07 | 22 hrs 21 mins |
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| 40 | GeForce GTX 660 GK106 [GeForce GTX 660] |
Nvidia | GK106 | 90,712 | 86,097 | 1.05 | 22 hrs 47 mins |
| 41 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 88,669 | 85,651 | 1.04 | 23 hrs 11 mins |
| 42 | GTX 650 Ti Boost GK106 [GTX 650 Ti Boost] |
Nvidia | GK106 | 84,138 | 83,832 | 1.00 | 23 hrs 55 mins |
| 43 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 66,646 | 77,421 | 0.86 | 27 hrs 53 mins |
| 44 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 46,072 | 68,645 | 0.67 | 35 hrs 46 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:33:20|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|