RESEARCH: CANCER
FOLDING PROJECT #16496 PROFILE
PROJECT TEAM
Manager(s): Sukrit SinghInstitution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 65,397Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at RIPK2, a protein that's important in cancer. Researchers are using computer models to understand how special drugs called inhibitors work against RIPK2. By studying these models, they hope to learn how RIPK2 interacts with other proteins and how the inhibitors block this interaction. This knowledge could help develop 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 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.
RELATED TERMS GLOSSARY AI BETA
Kinases
Enzymes that catalyze the transfer of phosphate groups
Kinases are a type of enzyme that play a crucial role in various cellular processes. They add phosphate groups to other molecules, which can activate or deactivate them. This process is essential for regulating cell growth, division, and death. Dysregulation of kinases is implicated in many diseases, particularly cancer.
RIPK2
Receptor-Interacting Protein Kinase 2
RIPK2 is a protein involved in the immune system's response to infection and inflammation. It plays a role in activating signaling pathways that lead to the production of inflammatory molecules. Mutations or dysregulation of RIPK2 can contribute to autoimmune diseases and cancer.
Inhibitors
Molecules that block or reduce the activity of a specific target
Inhibitors are substances that can prevent or slow down chemical reactions. In medicine, they are often used to treat diseases by blocking the activity of harmful proteins or enzymes. Cancer therapies frequently use inhibitors to target specific proteins involved in tumor growth.
XIAP
X-linked Inhibitor of Apoptosis Protein
XIAP is a protein that blocks programmed cell death (apoptosis). Cancer cells often overexpress XIAP to evade destruction. Inhibiting XIAP can make cancer cells more susceptible to apoptosis and may be a therapeutic strategy.
Ligands
Molecules that bind to a specific target (e.g., receptor, enzyme)
Ligands are molecules that can attach to other molecules, such as proteins or receptors. In drug development, ligands are often designed to specifically bind to targets involved in disease pathways, allowing for the treatment or modulation of those pathways.
CSLP43
Cancer Cell Survival Ligand 43
CSLP43 is a protein that interacts with RIPK2. Inhibitors targeting the interaction between RIPK2 and CSLP43 are being explored as potential cancer therapies.
GSK583
A specific inhibitor of RIPK2
GSK583 is a pharmaceutical compound that specifically inhibits the activity of RIPK2. It has shown promise as an anti-cancer agent in preclinical studies.
Gefitinib
A tyrosine kinase inhibitor
Gefitinib is a medication used to treat certain types of non-small cell lung cancer. It works by inhibiting the activity of specific enzymes involved in cancer cell growth.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Saturday, 25 April 2026 21:45:02|
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 | 4,709,658 | 127,769 | 36.86 | 0 hrs 39 mins |
| 2 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 4,542,250 | 126,023 | 36.04 | 0 hrs 40 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 4,382,440 | 123,788 | 35.40 | 0 hrs 41 mins |
| 4 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 3,942,483 | 122,372 | 32.22 | 0 hrs 45 mins |
| 5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,372,891 | 115,687 | 29.16 | 0 hrs 49 mins |
| 6 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,302,062 | 114,765 | 28.77 | 0 hrs 50 mins |
| 7 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,128,808 | 112,818 | 27.73 | 0 hrs 52 mins |
| 8 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,715,379 | 104,331 | 26.03 | 0 hrs 55 mins |
| 9 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,710,681 | 106,903 | 25.36 | 0 hrs 57 mins |
| 10 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 2,437,725 | 103,867 | 23.47 | 1 hrs 1 mins |
| 11 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,296,805 | 94,930 | 24.19 | 0 hrs 60 mins |
| 12 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,145,468 | 98,324 | 21.82 | 1 hrs 6 mins |
| 13 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,087,427 | 98,503 | 21.19 | 1 hrs 8 mins |
| 14 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,064,860 | 98,519 | 20.96 | 1 hrs 9 mins |
| 15 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 1,860,515 | 95,100 | 19.56 | 1 hrs 14 mins |
| 16 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 1,824,932 | 95,048 | 19.20 | 1 hrs 15 mins |
| 17 | GeForce RTX 2070 SUPER Mobile / Max-Q TU104M [GeForce RTX 2070 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 1,824,052 | 93,581 | 19.49 | 1 hrs 14 mins |
| 18 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,719,403 | 92,525 | 18.58 | 1 hrs 17 mins |
| 19 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,705,234 | 92,461 | 18.44 | 1 hrs 18 mins |
|
|
|||||||
| 20 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,640,699 | 91,460 | 17.94 | 1 hrs 20 mins |
| 21 | GeForce RTX 2080 Mobile TU104M [GeForce RTX 2080 Mobile] |
Nvidia | TU104M | 1,612,776 | 90,520 | 17.82 | 1 hrs 21 mins |
| 22 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,537,771 | 89,378 | 17.21 | 1 hrs 24 mins |
| 23 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,427,262 | 86,967 | 16.41 | 1 hrs 28 mins |
| 24 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,320,344 | 82,981 | 15.91 | 1 hrs 31 mins |
| 25 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,158,863 | 81,376 | 14.24 | 1 hrs 41 mins |
| 26 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,101,807 | 79,484 | 13.86 | 1 hrs 44 mins |
| 27 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,020,181 | 78,468 | 13.00 | 1 hrs 51 mins |
| 28 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,013,325 | 77,277 | 13.11 | 1 hrs 50 mins |
| 29 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] |
Nvidia | TU106M | 992,062 | 76,930 | 12.90 | 1 hrs 52 mins |
| 30 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 989,277 | 77,191 | 12.82 | 1 hrs 52 mins |
| 31 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 912,827 | 73,721 | 12.38 | 1 hrs 56 mins |
| 32 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 851,043 | 73,133 | 11.64 | 2 hrs 4 mins |
| 33 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 721,172 | 69,602 | 10.36 | 2 hrs 19 mins |
| 34 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 598,605 | 65,070 | 9.20 | 2 hrs 37 mins |
| 35 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 467,059 | 58,627 | 7.97 | 3 hrs 1 mins |
| 36 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 430,362 | 58,549 | 7.35 | 3 hrs 16 mins |
| 37 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 397,196 | 56,683 | 7.01 | 3 hrs 25 mins |
| 38 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 367,058 | 55,409 | 6.62 | 3 hrs 37 mins |
| 39 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 279,476 | 50,645 | 5.52 | 4 hrs 21 mins |
|
|
|||||||
| 40 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 270,960 | 50,456 | 5.37 | 4 hrs 28 mins |
| 41 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 215,021 | 46,489 | 4.63 | 5 hrs 11 mins |
| 42 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 191,143 | 43,847 | 4.36 | 5 hrs 30 mins |
| 43 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 149,218 | 39,647 | 3.76 | 6 hrs 23 mins |
| 44 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 112,273 | 37,328 | 3.01 | 7 hrs 59 mins |
| 45 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 98,293 | 35,809 | 2.74 | 8 hrs 45 mins |
| 46 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 70,139 | 30,569 | 2.29 | 10 hrs 28 mins |
| 47 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 64,401 | 27,654 | 2.33 | 10 hrs 18 mins |
| 48 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 21,105 | 21,307 | 0.99 | 24 hrs 14 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Saturday, 25 April 2026 21:45:02|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|