RESEARCH: CANCER
FOLDING PROJECT #16468 PROFILE
PROJECT TEAM
Manager(s): Sukrit SinghInstitution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 45,128Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Cancer drugs often target kinases like RIPK2. The project simulates RIPK2 with 3 known inhibitors to understand how they stop RIPK2 from binding to another protein (XIAP), which is important for cancer growth. This will help develop better cancer drugs and reveal how RIPK2 normally binds XIAP.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Kinases are a major target for a variety of cancer therapies, but their mechanism of action is relatively unknown at a detailed atomic level, preventing us from understanding and optimizing known inhibitors.
One example is the Serine/Threonine Kinase RIPK2.
RIPK2 inhibition is useful for cancer targeting as it prevents RIPK2 from binding a protein partner named XIAP.
In fact, there are already 3 known inhibitors that bind to RIPK2 and prevent RIPK2-XIAP binding! However, it remains difficult to optimize these ligands for clinical purposes because we do not understand how any of these three inhibitors actually act on RIPK2 to prevent XIAP binding behavior.
These four projects are simulating RIPK2 by itself and bound to each of the three inhibitors, with the hope that this will reveal a more detailed mechanism of how each inhibitor works to prevent XIAP binding.
As a bonus, this will help reveal how RIPK2 *binds* XIAP (also unknown)!.
RELATED TERMS GLOSSARY AI BETA
Kinases
Enzymes that transfer phosphate groups to other molecules.
Kinases are a type of enzyme crucial for many cellular processes. They add phosphate groups to other proteins, changing their activity and function. This process is essential for cell signaling, growth, and division. Dysregulation of kinases can lead to diseases like cancer.
Cancer
Uncontrolled growth and spread of abnormal cells.
Cancer is a broad term for diseases involving the uncontrolled growth and spread of abnormal cells. These cells divide rapidly and can invade surrounding tissues, potentially spreading to other parts of the body (metastasis). There are many types of cancer, each with unique characteristics and treatments.
Inhibitors
Substances that block or reduce the activity of a specific molecule.
Inhibitors are molecules designed to interfere with the function of other molecules, often enzymes. They can be used as drugs to treat diseases by blocking harmful processes. Examples include enzyme inhibitors used in cancer therapy.
RIPK2
Receptor-interacting protein kinase 2
RIPK2 is a protein involved in cell signaling pathways that regulate inflammation and cell death. It plays a role in the immune response and has been implicated in various diseases, including cancer.
XIAP
X-linked inhibitor of apoptosis protein
XIAP is a protein that inhibits cell death (apoptosis). It plays a role in protecting cells from damage and preventing excessive immune responses.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:23|
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 | 3,929,041 | 88,966 | 44.16 | 0 hrs 33 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 3,665,075 | 85,012 | 43.11 | 0 hrs 33 mins |
| 3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 3,431,587 | 85,352 | 40.21 | 0 hrs 36 mins |
| 4 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 3,179,651 | 83,338 | 38.15 | 0 hrs 38 mins |
| 5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,016,702 | 81,483 | 37.02 | 0 hrs 39 mins |
| 6 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 2,720,355 | 79,119 | 34.38 | 0 hrs 42 mins |
| 7 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 2,425,816 | 75,874 | 31.97 | 0 hrs 45 mins |
| 8 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,181,457 | 73,578 | 29.65 | 0 hrs 49 mins |
| 9 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,113,472 | 72,915 | 28.99 | 0 hrs 50 mins |
| 10 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 1,871,527 | 70,107 | 26.70 | 0 hrs 54 mins |
| 11 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 1,828,337 | 69,414 | 26.34 | 0 hrs 55 mins |
| 12 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 1,798,113 | 68,575 | 26.22 | 0 hrs 55 mins |
| 13 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,770,064 | 68,747 | 25.75 | 0 hrs 56 mins |
| 14 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 1,729,626 | 68,147 | 25.38 | 0 hrs 57 mins |
| 15 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 1,668,118 | 67,402 | 24.75 | 0 hrs 58 mins |
| 16 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 1,632,547 | 66,589 | 24.52 | 0 hrs 59 mins |
| 17 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,629,485 | 66,123 | 24.64 | 0 hrs 58 mins |
| 18 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 1,619,567 | 66,740 | 24.27 | 0 hrs 59 mins |
| 19 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,479,205 | 64,125 | 23.07 | 1 hrs 2 mins |
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|||||||
| 20 | Tesla P40 GP102GL [Tesla P40] 11760 |
Nvidia | GP102GL | 1,475,709 | 64,176 | 22.99 | 1 hrs 3 mins |
| 21 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 1,374,720 | 62,914 | 21.85 | 1 hrs 6 mins |
| 22 | GeForce RTX 3070 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3070 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,331,108 | 62,082 | 21.44 | 1 hrs 7 mins |
| 23 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,321,536 | 62,276 | 21.22 | 1 hrs 8 mins |
| 24 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,277,450 | 62,066 | 20.58 | 1 hrs 10 mins |
| 25 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,274,312 | 57,036 | 22.34 | 1 hrs 4 mins |
| 26 | Quadro P5000 GP104GL [Quadro P5000] |
Nvidia | GP104GL | 1,108,630 | 59,024 | 18.78 | 1 hrs 17 mins |
| 27 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 977,223 | 56,380 | 17.33 | 1 hrs 23 mins |
| 28 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 951,463 | 56,125 | 16.95 | 1 hrs 25 mins |
| 29 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 917,497 | 55,196 | 16.62 | 1 hrs 27 mins |
| 30 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 901,870 | 54,337 | 16.60 | 1 hrs 27 mins |
| 31 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 860,113 | 49,945 | 17.22 | 1 hrs 24 mins |
| 32 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 855,413 | 53,080 | 16.12 | 1 hrs 29 mins |
| 33 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 648,764 | 49,158 | 13.20 | 1 hrs 49 mins |
| 34 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 640,514 | 49,036 | 13.06 | 1 hrs 50 mins |
| 35 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 584,662 | 47,741 | 12.25 | 1 hrs 58 mins |
| 36 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 557,356 | 46,809 | 11.91 | 2 hrs 1 mins |
| 37 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 494,704 | 44,952 | 11.01 | 2 hrs 11 mins |
| 38 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 489,368 | 44,893 | 10.90 | 2 hrs 12 mins |
| 39 | GeForce GTX 1650 TU117 [GeForce GTX 1650] 3091 |
Nvidia | TU117 | 474,147 | 44,549 | 10.64 | 2 hrs 15 mins |
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| 40 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 401,072 | 41,930 | 9.57 | 2 hrs 31 mins |
| 41 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 369,653 | 41,179 | 8.98 | 2 hrs 40 mins |
| 42 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 345,792 | 39,384 | 8.78 | 2 hrs 44 mins |
| 43 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 296,974 | 38,037 | 7.81 | 3 hrs 4 mins |
| 44 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 283,809 | 37,577 | 7.55 | 3 hrs 11 mins |
| 45 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 226,950 | 34,709 | 6.54 | 3 hrs 40 mins |
| 46 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 224,913 | 34,398 | 6.54 | 3 hrs 40 mins |
| 47 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 185,824 | 31,956 | 5.81 | 4 hrs 8 mins |
| 48 | GeForce GTX 690 GK104 [GeForce GTX 690] 3130 |
Nvidia | GK104 | 173,917 | 31,987 | 5.44 | 4 hrs 25 mins |
| 49 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 169,763 | 31,521 | 5.39 | 4 hrs 27 mins |
| 50 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 144,568 | 29,375 | 4.92 | 4 hrs 53 mins |
| 51 | Quadro K4200 GK104 [Quadro K4200] |
Nvidia | GK104 | 125,261 | 28,416 | 4.41 | 5 hrs 27 mins |
| 52 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 105,586 | 26,790 | 3.94 | 6 hrs 5 mins |
| 53 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 101,891 | 26,583 | 3.83 | 6 hrs 16 mins |
| 54 | GeForce GTX 960M GM107 [GeForce GTX 960M] 1439 |
Nvidia | GM107 | 98,535 | 26,515 | 3.72 | 6 hrs 27 mins |
| 55 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 93,955 | 25,973 | 3.62 | 6 hrs 38 mins |
| 56 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 50,295 | 20,365 | 2.47 | 9 hrs 43 mins |
| 57 | GeForce GTX 560 GF114 [GeForce GTX 560] |
Nvidia | GF114 | 10,687 | 7,112 | 1.50 | 15 hrs 58 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:23|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|