RESEARCH: CANCER
FOLDING PROJECT #17639 PROFILE
PROJECT TEAM
Manager(s): Sukrit SinghInstitution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 1,227,751Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Researchers are studying how RIPK2, a protein important in cancer, interacts with other proteins. They're using computer models to see how three known inhibitors work to block this interaction. This could lead to better cancer drugs.
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)! In this set of projects we are studying the following systems: 16466 – RIPK2 16467 – RIPK2:CSLP43 inhibitor-bound complex 16468 – RIPK2:CSLP48 inhibitor-bound complex 16469 – RIPK2:GSK583 inhibitor-bound complex 16470 – RIPK2:WEHI-345 inhibitor-bound complex 16471 – RIPK2:BI inhibitor-bound complex 16488 – RIPK2:BI inhibitor-bound complex (alt configuration) 16489 – RIPK2:BI inhibitor-bound complex (alt configuration 2) 16490 – RIPK2:NVS inhibitor-bound complex 16491 – RIPK2 apo from the GSK bound structure 16492 – RIPK2 apo fro the BI bound structure 16493 – RIPK2 apo from a Gefitinib bound structure 16494 – RIPK2 apo from a Novartis-produced inhibitor 16495 – RIPK2:Gefitinib complex 16496 – RIPK2:Novartis inhibitor structure 17637 – RIPK2:RIPK2 dimer 17638 – RIPK2:RIPK2:XIAP trimer 17639 – RIPK2:RIPK2 XIAP:XIAP tetramer (1.2 Million atoms!).
RELATED TERMS GLOSSARY AI BETA
Kinases
Enzymes that catalyze the transfer of phosphate groups.
Kinases are a crucial type of enzyme found in cells. They play a vital role in many biological processes by adding phosphate groups to other molecules, which can activate or deactivate them. This process is essential for cell signaling, growth, and division.
RIPK2
Receptor-interacting protein kinase 2
RIPK2 is a type of protein kinase involved in the immune system's response to infections. It plays a key role in triggering inflammatory pathways when cells detect harmful invaders like bacteria or viruses. Understanding RIPK2's function is important for developing treatments for autoimmune diseases and infections.
Inhibitors
Substances that block or reduce the activity of a specific molecule.
Inhibitors are molecules designed to prevent other molecules from working properly. They are widely used in medicine as drugs to treat various diseases by blocking the action of harmful enzymes or proteins.
XIAP
X-linked inhibitor of apoptosis protein
XIAP is a protein that prevents cell death (apoptosis). It plays a role in regulating the immune system and protecting cells from damage. Some cancers exploit XIAP's activity to survive and resist treatment.
Ligands
Molecules that bind to specific targets, such as proteins or receptors.
Ligands are molecules that can attach to other molecules like proteins. This binding can activate or block the target molecule's function. Ligands are important in many biological processes and are widely used in drug development.
Complex
A group of two or more molecules bound together.
A complex is formed when multiple molecules interact and bind to each other. These complexes are important in many biological processes, such as enzyme function, DNA replication, and signal transduction.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:37:41|
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 | 37,278,833 | 1,169,621 | 31.87 | 0 hrs 45 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 24,709,069 | 1,029,798 | 23.99 | 1 hrs 0 mins |
| 3 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 15,377,874 | 880,432 | 17.47 | 1 hrs 22 mins |
| 4 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 12,538,244 | 831,564 | 15.08 | 1 hrs 36 mins |
| 5 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 11,572,097 | 803,614 | 14.40 | 1 hrs 40 mins |
| 6 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 11,083,608 | 796,721 | 13.91 | 1 hrs 44 mins |
| 7 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 10,898,127 | 795,819 | 13.69 | 1 hrs 45 mins |
| 8 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 9,192,588 | 752,442 | 12.22 | 1 hrs 58 mins |
| 9 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 9,038,814 | 747,155 | 12.10 | 1 hrs 59 mins |
| 10 | Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX] |
AMD | Navi 31 | 8,416,439 | 727,358 | 11.57 | 2 hrs 4 mins |
| 11 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 8,212,447 | 725,211 | 11.32 | 2 hrs 7 mins |
| 12 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 7,322,748 | 697,363 | 10.50 | 2 hrs 17 mins |
| 13 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 6,717,616 | 669,928 | 10.03 | 2 hrs 24 mins |
| 14 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,843,906 | 647,174 | 9.03 | 2 hrs 39 mins |
| 15 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 5,789,886 | 642,146 | 9.02 | 2 hrs 40 mins |
| 16 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,749,733 | 644,113 | 8.93 | 2 hrs 41 mins |
| 17 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 5,575,296 | 632,374 | 8.82 | 2 hrs 43 mins |
| 18 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 5,458,744 | 635,431 | 8.59 | 2 hrs 48 mins |
| 19 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 5,287,418 | 622,310 | 8.50 | 2 hrs 49 mins |
|
|
|||||||
| 20 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 4,920,324 | 608,826 | 8.08 | 2 hrs 58 mins |
| 21 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 4,828,837 | 606,927 | 7.96 | 3 hrs 1 mins |
| 22 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 4,056,239 | 557,906 | 7.27 | 3 hrs 18 mins |
| 23 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 4,047,430 | 574,724 | 7.04 | 3 hrs 24 mins |
| 24 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,990,095 | 572,663 | 6.97 | 3 hrs 27 mins |
| 25 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 3,915,512 | 552,466 | 7.09 | 3 hrs 23 mins |
| 26 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 3,905,804 | 565,936 | 6.90 | 3 hrs 29 mins |
| 27 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 3,831,226 | 563,115 | 6.80 | 3 hrs 32 mins |
| 28 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 3,287,115 | 530,906 | 6.19 | 3 hrs 53 mins |
| 29 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 3,269,508 | 537,506 | 6.08 | 3 hrs 57 mins |
| 30 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 3,160,473 | 518,093 | 6.10 | 3 hrs 56 mins |
| 31 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,813,024 | 508,870 | 5.53 | 4 hrs 20 mins |
| 32 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,608,885 | 497,856 | 5.24 | 4 hrs 35 mins |
| 33 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 2,129,637 | 460,267 | 4.63 | 5 hrs 11 mins |
| 34 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 2,093,129 | 470,350 | 4.45 | 5 hrs 24 mins |
| 35 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,919,819 | 445,917 | 4.31 | 5 hrs 34 mins |
| 36 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,803,012 | 438,974 | 4.11 | 5 hrs 51 mins |
| 37 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,778,237 | 437,109 | 4.07 | 5 hrs 54 mins |
| 38 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,760,589 | 434,612 | 4.05 | 5 hrs 55 mins |
| 39 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,705,674 | 434,292 | 3.93 | 6 hrs 7 mins |
|
|
|||||||
| 40 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,627,831 | 443,018 | 3.67 | 6 hrs 32 mins |
| 41 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,456,860 | 406,625 | 3.58 | 6 hrs 42 mins |
| 42 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 1,456,675 | 404,933 | 3.60 | 6 hrs 40 mins |
| 43 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 1,444,243 | 397,658 | 3.63 | 6 hrs 36 mins |
| 44 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,339,756 | 398,862 | 3.36 | 7 hrs 9 mins |
| 45 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,168,530 | 378,112 | 3.09 | 7 hrs 46 mins |
| 46 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 1,139,303 | 377,068 | 3.02 | 7 hrs 57 mins |
| 47 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 1,029,183 | 364,058 | 2.83 | 8 hrs 29 mins |
| 48 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 870,872 | 345,776 | 2.52 | 9 hrs 32 mins |
| 49 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 864,367 | 326,124 | 2.65 | 9 hrs 3 mins |
| 50 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 769,288 | 349,567 | 2.20 | 10 hrs 54 mins |
| 51 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 693,775 | 317,761 | 2.18 | 10 hrs 60 mins |
| 52 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 534,496 | 324,149 | 1.65 | 14 hrs 33 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:37:41|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|