RESEARCH: CANCER
FOLDING PROJECT #17639 PROFILE

PROJECT TEAM

Manager(s): Sukrit Singh
Institution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website

WORK UNIT INFO

Atoms: 1,227,751
Core: 0x22
Status: Public

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

Note: Glossary items are a high level summary and may not be 100% accurate.

Kinases

Enzymes that catalyze the transfer of phosphate groups.

Scientific: Biotechnology
Medicine / Oncology

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

Technical: Pharmacology
Medicine / Immunology

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.

Technical: Pharmacology
Medicine / Drug Discovery

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

Technical: Biotechnology
Medicine / Cell Biology

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.

Technical: Pharmacology
Medicine / Drug Discovery

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.

Technical: Research
Biochemistry / Structural Biology

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