RESEARCH: CANCER
FOLDING PROJECT #16470 PROFILE
PROJECT TEAM
Manager(s): Sukrit SinghInstitution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 44,354Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Scientists want to understand how medicine works at the atomic level! They're studying RIPK2, a protein involved in cancer, and its interaction with inhibitors. By simulating RIPK2 with different inhibitors, they hope to figure out how these inhibitors block RIPK2 from binding to another protein called XIAP, which could lead to better cancer treatments.
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.
RELATED TERMS GLOSSARY AI BETA
Kinases
Enzymes that transfer phosphate groups
Kinases are a crucial type of enzyme that play a vital role in various cellular processes. They add phosphate groups to other molecules, which can activate or deactivate them, influencing cell growth, signaling, and metabolism. Many diseases, including cancer, are linked to dysregulated kinase activity.
RIPK2
Receptor-interacting protein kinase 2
RIPK2 is a protein kinase involved in the innate immune response. It plays a crucial role in detecting pathogens and triggering inflammatory signaling pathways. Overactivation of RIPK2 has been implicated in various autoimmune diseases, while its inhibition shows promise as a therapeutic strategy for cancer and inflammatory disorders.
Inhibitors
Molecules that block the activity of enzymes or proteins
Inhibitors are substances that can prevent or slow down the activity of other molecules. In drug development, inhibitors are designed to target specific proteins involved in disease processes. For example, kinase inhibitors are used to treat cancer by blocking the activity of kinases that promote cell growth and survival.
XIAP
X-linked inhibitor of apoptosis protein
XIAP is a protein that inhibits programmed cell death (apoptosis). It plays a crucial role in regulating the balance between cell survival and death. Cancer cells often overexpress XIAP to evade apoptosis, making it a potential therapeutic target.
Ligands
Molecules that bind to receptors or other target sites
Ligands are molecules that can attach to specific targets within cells or tissues. In drug development, ligands are designed to interact with target proteins and modulate their activity. For example, drugs targeting cancer cells often act as ligands that inhibit the growth-promoting activity of certain receptors.
CSLP43
Chemical name for a RIPK2 inhibitor
CSLP43 is a chemical compound that has been identified as an inhibitor of RIPK2. Further research is needed to fully understand its mechanism of action and therapeutic potential.
GSK583
Chemical name for a RIPK2 inhibitor
GSK583 is a chemical compound that has been identified as an inhibitor of RIPK2. Further research is needed to fully understand its mechanism of action and therapeutic potential.
WEHI-345
Chemical name for a RIPK2 inhibitor
WEHI-345 is a chemical compound that has been identified as an inhibitor of RIPK2. Further research is needed to fully understand its mechanism of action and therapeutic potential.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:22|
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 | 4,446,857 | 99,309 | 44.78 | 0 hrs 32 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 4,324,451 | 97,519 | 44.34 | 0 hrs 32 mins |
| 3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 4,188,845 | 97,631 | 42.90 | 0 hrs 34 mins |
| 4 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 3,935,019 | 95,927 | 41.02 | 0 hrs 35 mins |
| 5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,632,581 | 93,097 | 39.02 | 0 hrs 37 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,430,294 | 91,424 | 37.52 | 0 hrs 38 mins |
| 7 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,333,238 | 90,538 | 36.82 | 0 hrs 39 mins |
| 8 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,730,450 | 84,620 | 32.27 | 0 hrs 45 mins |
| 9 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,458,747 | 81,901 | 30.02 | 0 hrs 48 mins |
| 10 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,435,836 | 81,333 | 29.95 | 0 hrs 48 mins |
| 11 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,228,216 | 79,601 | 27.99 | 0 hrs 51 mins |
| 12 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,203,197 | 79,138 | 27.84 | 0 hrs 52 mins |
| 13 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,100,351 | 78,130 | 26.88 | 0 hrs 54 mins |
| 14 | GeForce RTX 3070 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3070 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 2,023,683 | 77,010 | 26.28 | 0 hrs 55 mins |
| 15 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,981,911 | 75,878 | 26.12 | 0 hrs 55 mins |
| 16 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 1,904,833 | 75,618 | 25.19 | 0 hrs 57 mins |
| 17 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,788,909 | 73,669 | 24.28 | 0 hrs 59 mins |
| 18 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,776,826 | 74,034 | 24.00 | 0 hrs 60 mins |
| 19 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,706,674 | 73,087 | 23.35 | 1 hrs 2 mins |
|
|
|||||||
| 20 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,675,138 | 71,669 | 23.37 | 1 hrs 2 mins |
| 21 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,657,153 | 72,226 | 22.94 | 1 hrs 3 mins |
| 22 | Tesla P40 GP102GL [Tesla P40] 11760 |
Nvidia | GP102GL | 1,634,982 | 70,948 | 23.04 | 1 hrs 2 mins |
| 23 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 1,524,639 | 70,654 | 21.58 | 1 hrs 7 mins |
| 24 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,513,825 | 69,921 | 21.65 | 1 hrs 7 mins |
| 25 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 1,497,996 | 69,436 | 21.57 | 1 hrs 7 mins |
| 26 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,319,838 | 66,787 | 19.76 | 1 hrs 13 mins |
| 27 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,285,856 | 66,327 | 19.39 | 1 hrs 14 mins |
| 28 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,157,281 | 63,916 | 18.11 | 1 hrs 20 mins |
| 29 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,099,948 | 62,735 | 17.53 | 1 hrs 22 mins |
| 30 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,089,604 | 61,233 | 17.79 | 1 hrs 21 mins |
| 31 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,054,877 | 61,957 | 17.03 | 1 hrs 25 mins |
| 32 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] 4550 |
Nvidia | TU106M | 1,012,271 | 60,923 | 16.62 | 1 hrs 27 mins |
| 33 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 923,710 | 58,933 | 15.67 | 1 hrs 32 mins |
| 34 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 738,406 | 54,956 | 13.44 | 1 hrs 47 mins |
| 35 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 693,733 | 54,028 | 12.84 | 1 hrs 52 mins |
| 36 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 643,595 | 52,518 | 12.25 | 1 hrs 58 mins |
| 37 | GeForce GTX 1650 TU117 [GeForce GTX 1650] 3091 |
Nvidia | TU117 | 591,979 | 51,320 | 11.54 | 2 hrs 5 mins |
| 38 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 560,135 | 50,475 | 11.10 | 2 hrs 10 mins |
| 39 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 555,960 | 50,028 | 11.11 | 2 hrs 10 mins |
|
|
|||||||
| 40 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 528,325 | 49,188 | 10.74 | 2 hrs 14 mins |
| 41 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 502,603 | 48,864 | 10.29 | 2 hrs 20 mins |
| 42 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 493,351 | 48,310 | 10.21 | 2 hrs 21 mins |
| 43 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 432,041 | 46,504 | 9.29 | 2 hrs 35 mins |
| 44 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 333,827 | 42,467 | 7.86 | 3 hrs 3 mins |
| 45 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 279,410 | 40,072 | 6.97 | 3 hrs 27 mins |
| 46 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 264,787 | 39,212 | 6.75 | 3 hrs 33 mins |
| 47 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 256,380 | 38,734 | 6.62 | 3 hrs 38 mins |
| 48 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 248,099 | 38,231 | 6.49 | 3 hrs 42 mins |
| 49 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 214,639 | 36,399 | 5.90 | 4 hrs 4 mins |
| 50 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 184,171 | 33,193 | 5.55 | 4 hrs 20 mins |
| 51 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 138,918 | 31,493 | 4.41 | 5 hrs 26 mins |
| 52 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 123,172 | 29,635 | 4.16 | 5 hrs 46 mins |
| 53 | GeForce GTX 960M GM107 [GeForce GTX 960M] 1439 |
Nvidia | GM107 | 121,589 | 30,139 | 4.03 | 5 hrs 57 mins |
| 54 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 105,654 | 28,849 | 3.66 | 6 hrs 33 mins |
| 55 | GRID M40 GM107GL [GRID M40] |
Nvidia | GM107GL | 89,617 | 27,345 | 3.28 | 7 hrs 19 mins |
| 56 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 79,230 | 26,179 | 3.03 | 7 hrs 56 mins |
| 57 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 40,997 | 20,957 | 1.96 | 12 hrs 16 mins |
| 58 | GeForce 920M GK208 [GeForce 920M] |
Nvidia | GK208 | 27,949 | 18,663 | 1.50 | 16 hrs 2 mins |
| 59 | Quadro NVS 510 GK107 [Quadro NVS 510] |
Nvidia | GK107 | 9,582 | 13,023 | 0.74 | 32 hrs 37 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:22|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|