RESEARCH: CANCER
FOLDING PROJECT #16466 PROFILE
PROJECT TEAM
Manager(s): Sukrit SinghInstitution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 45,078Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Kinases are important targets for cancer drugs, but we don't fully understand how they work. The project focuses on RIPK2, a kinase involved in cancer. Scientists are using computer models to study how three known RIPK2 inhibitors block its interaction with another protein called XIAP. This research could lead to better cancer treatments and reveal how RIPK2 binds to XIAP in the first place.
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 from ATP to other molecules.
Kinases are a type of enzyme crucial for cell signaling and regulation. They play diverse roles in processes like growth, differentiation, and metabolism. Dysregulation of kinases is implicated in various diseases, including cancer.
RIPK2
Receptor-interacting protein kinase 2
RIPK2 is a protein involved in the innate immune response. It plays a role in detecting pathogens and triggering inflammatory responses. Its dysregulation can contribute to autoimmune diseases and cancer.
Inhibitors
Substances that block or reduce the activity of a specific molecule, such as an enzyme.
Inhibitors are crucial in drug development. They aim to block the action of harmful molecules involved in diseases. By targeting specific enzymes or proteins, inhibitors can help treat various conditions.
XIAP
X-linked inhibitor of apoptosis protein
XIAP is a protein that inhibits programmed cell death (apoptosis). It plays a role in regulating cell survival and immune responses. Its overexpression can contribute to cancer development.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:24|
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 | 4,005,763 | 91,274 | 43.89 | 0 hrs 33 mins |
| 2 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 3,932,483 | 92,195 | 42.65 | 0 hrs 34 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 3,735,404 | 87,407 | 42.74 | 0 hrs 34 mins |
| 4 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 3,306,110 | 86,637 | 38.16 | 0 hrs 38 mins |
| 5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,095,626 | 83,727 | 36.97 | 0 hrs 39 mins |
| 6 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 2,964,415 | 81,775 | 36.25 | 0 hrs 40 mins |
| 7 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 2,808,742 | 81,483 | 34.47 | 0 hrs 42 mins |
| 8 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,252,428 | 75,660 | 29.77 | 0 hrs 48 mins |
| 9 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,154,163 | 74,957 | 28.74 | 0 hrs 50 mins |
| 10 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 1,945,120 | 72,442 | 26.85 | 0 hrs 54 mins |
| 11 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 1,905,642 | 71,885 | 26.51 | 0 hrs 54 mins |
| 12 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 1,801,158 | 70,482 | 25.55 | 0 hrs 56 mins |
| 13 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 1,798,753 | 69,507 | 25.88 | 0 hrs 56 mins |
| 14 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,775,777 | 69,569 | 25.53 | 0 hrs 56 mins |
| 15 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 1,775,261 | 70,228 | 25.28 | 0 hrs 57 mins |
| 16 | GeForce RTX 3070 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3070 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,754,788 | 68,340 | 25.68 | 0 hrs 56 mins |
| 17 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 1,746,894 | 69,777 | 25.04 | 0 hrs 58 mins |
| 18 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,673,691 | 68,283 | 24.51 | 0 hrs 59 mins |
| 19 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 1,622,343 | 68,135 | 23.81 | 1 hrs 0 mins |
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|||||||
| 20 | Tesla P40 GP102GL [Tesla P40] 11760 |
Nvidia | GP102GL | 1,525,341 | 66,246 | 23.03 | 1 hrs 3 mins |
| 21 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,466,772 | 64,892 | 22.60 | 1 hrs 4 mins |
| 22 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,387,369 | 64,686 | 21.45 | 1 hrs 7 mins |
| 23 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 1,362,401 | 63,851 | 21.34 | 1 hrs 7 mins |
| 24 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,243,952 | 62,399 | 19.94 | 1 hrs 12 mins |
| 25 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,225,170 | 59,507 | 20.59 | 1 hrs 10 mins |
| 26 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,168,122 | 61,300 | 19.06 | 1 hrs 16 mins |
| 27 | Quadro P5000 GP104GL [Quadro P5000] |
Nvidia | GP104GL | 1,071,453 | 59,525 | 18.00 | 1 hrs 20 mins |
| 28 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 995,971 | 57,818 | 17.23 | 1 hrs 24 mins |
| 29 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 960,194 | 56,719 | 16.93 | 1 hrs 25 mins |
| 30 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 852,812 | 50,806 | 16.79 | 1 hrs 26 mins |
| 31 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 820,360 | 54,391 | 15.08 | 1 hrs 35 mins |
| 32 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 717,857 | 39,354 | 18.24 | 1 hrs 19 mins |
| 33 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 668,753 | 50,621 | 13.21 | 1 hrs 49 mins |
| 34 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 615,029 | 49,828 | 12.34 | 1 hrs 57 mins |
| 35 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 560,444 | 47,837 | 11.72 | 2 hrs 3 mins |
| 36 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 533,183 | 47,012 | 11.34 | 2 hrs 7 mins |
| 37 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 453,007 | 43,880 | 10.32 | 2 hrs 19 mins |
| 38 | GeForce GTX 1650 TU117 [GeForce GTX 1650] 3091 |
Nvidia | TU117 | 411,280 | 40,065 | 10.27 | 2 hrs 20 mins |
| 39 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 400,286 | 43,130 | 9.28 | 2 hrs 35 mins |
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|
|||||||
| 40 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 346,370 | 38,318 | 9.04 | 2 hrs 39 mins |
| 41 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 310,669 | 39,315 | 7.90 | 3 hrs 2 mins |
| 42 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 251,627 | 36,648 | 6.87 | 3 hrs 30 mins |
| 43 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 246,593 | 36,437 | 6.77 | 3 hrs 33 mins |
| 44 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 224,903 | 34,932 | 6.44 | 3 hrs 44 mins |
| 45 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 190,390 | 33,525 | 5.68 | 4 hrs 14 mins |
| 46 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 156,072 | 28,340 | 5.51 | 4 hrs 21 mins |
| 47 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 121,384 | 28,662 | 4.24 | 5 hrs 40 mins |
| 48 | GeForce GTX 960M GM107 [GeForce GTX 960M] 1439 |
Nvidia | GM107 | 102,085 | 27,082 | 3.77 | 6 hrs 22 mins |
| 49 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 97,137 | 26,766 | 3.63 | 6 hrs 37 mins |
| 50 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 74,003 | 24,513 | 3.02 | 7 hrs 57 mins |
| 51 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 59,969 | 21,948 | 2.73 | 8 hrs 47 mins |
| 52 | VGX K2 GK104GL [VGX K2] |
Nvidia | GK104GL | 51,586 | 21,675 | 2.38 | 10 hrs 5 mins |
| 53 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 27,044 | 17,368 | 1.56 | 15 hrs 25 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:24|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|