RESEARCH: CANCER
FOLDING PROJECT #16774 PROFILE

PROJECT TEAM

Manager(s): Prof. Xuhui Huang
Institution: University of Wisconsin-Madison

WORK UNIT INFO

Atoms: 134,555
Core: 0x27
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

KRAS is a gene that causes cancer by making cells grow too fast. It's hard to block KRAS with drugs because its shape and how it works make this difficult. The project looks at how KRAS interacts with other proteins, hoping to find new ways to control it using 'molecular glues'. These glues could help degrade KRAS or change how it works, leading to better cancer treatments.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

KRAS is one of the most frequently mutated oncogenes in human cancers, driving uncontrolled cell growth through persistent activation of the MAPK and PI3K signaling pathways.

Despite decades of effort, KRAS has long been considered “undruggable” due to its smooth surface and high affinity for GTP/GDP, which make traditional small-molecule inhibition extremely difficult.

The concept of molecular glues offers a transformative strategy by promoting or stabilizing interactions between KRAS and specific E3 ligases or regulatory partners, leading to selective degradation or allosteric modulation of KRAS.

These projects aim to discover the PPI between VHL and wild type and the G12 mutants.

Further, the novel PPI can aid the discovery of the novel molecular glue compunds that target KRAS.

RELATED TERMS GLOSSARY AI BETA

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

KRAS

Kirsten rat sarcoma viral oncogene homolog

Technical: Biotechnology
Oncology / Cancer Research

KRAS is a gene that can become mutated and cause cancer. These mutations lead to uncontrolled cell growth. KRAS has been difficult to target with drugs because of its shape and how it binds to other molecules. A new strategy called 'molecular glues' aims to interact with KRAS and promote its degradation, potentially offering a new way to treat cancers driven by KRAS mutations.


oncogenes

Genes that have the potential to cause cancer when mutated.

Technical: Biotechnology
Oncology / Cancer Genetics

Oncogenes are genes that can become activated and contribute to the development of cancer. When these genes are mutated or overexpressed, they can promote uncontrolled cell growth and division, leading to tumor formation.


MAPK

Mitogen-activated protein kinase

Technical: Biotechnology
Oncology / Signal Transduction

The MAPK pathway is a crucial signaling cascade involved in cell growth, proliferation, and differentiation. Mutations or dysregulation of this pathway can contribute to cancer development.


PI3K

Phosphoinositide 3-kinase

Technical: Biotechnology
Oncology / Signal Transduction

The PI3K pathway is another important signaling pathway involved in cell growth, survival, and metabolism. It plays a role in cancer development through various mechanisms.


E3 ligases

Enzymes that facilitate the ubiquitination of target proteins, marking them for degradation.

Technical: Biotechnology
Oncology / Protein Degradation

E3 ligases are enzymes that play a crucial role in protein degradation by attaching ubiquitin tags to target proteins. This tagging process marks the proteins for destruction by cellular machinery.


molecular glues

A novel class of therapeutic agents that promote interactions between proteins.

Technical: Biotechnology
Oncology / Drug Discovery

Molecular glues are a new type of drug that works by bringing together specific proteins. This can lead to the activation or degradation of target proteins, offering a potential treatment for diseases like cancer.


VHL

Von Hippel-Lindau tumor suppressor gene

Technical: Biotechnology
Oncology / Tumor Suppressor Genes

VHL is a gene that normally acts as a tumor suppressor, helping to regulate cell growth and prevent cancer. Mutations in VHL can lead to the development of various tumors.


PPI

Protein-protein interaction

Technical: Biotechnology
Oncology / Protein-Protein Interactions

PPI refers to the interactions between different proteins. These interactions are essential for many cellular processes, including signaling pathways and gene regulation.


compunds

Chemicals with a defined structure and properties.

Technical: Biotechnology
Oncology / Drug Discovery

Compounds are chemical substances with a specific molecular structure. In the context of drug discovery, compounds are often screened for their ability to interact with specific targets, such as proteins involved in cancer development.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:43:36
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 23,343,774 253,998 91.91 0 hrs 16 mins
2 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]
Nvidia GB203 20,900,405 53,000 394.35 0 hrs 4 mins
3 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 17,808,245 210,500 84.60 0 hrs 17 mins
4 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 17,625,432 453,422 38.87 0 hrs 37 mins
5 RTX PRO 2000 Blackwell
GB206GL [RTX PRO 2000 Blackwell]
Nvidia GB206GL 16,049,789 53,000 302.83 0 hrs 5 mins
6 GeForce RTX 4070 Ti SUPER
AD103 [GeForce RTX 4070 Ti SUPER]
Nvidia AD103 14,107,067 53,000 266.17 0 hrs 5 mins
7 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 13,352,516 184,531 72.36 0 hrs 20 mins
8 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 11,923,787 134,888 88.40 0 hrs 16 mins
9 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 10,044,663 53,000 189.52 0 hrs 8 mins
10 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 9,852,538 231,234 42.61 0 hrs 34 mins
11 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 9,535,383 236,714 40.28 0 hrs 36 mins
12 GeForce RTX 5070
GB205 [GeForce RTX 5070]
Nvidia GB205 8,901,347 53,000 167.95 0 hrs 9 mins
13 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 7,829,713 277,902 28.17 0 hrs 51 mins
14 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 7,559,372 183,350 41.23 0 hrs 35 mins
15 RTX 4000 Ada Generation
AD104GL [RTX 4000 Ada Generation]
Nvidia AD104GL 7,461,761 53,000 140.79 0 hrs 10 mins
16 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 7,330,768 53,000 138.32 0 hrs 10 mins
17 Instinct MI300X
Aqua Vanjaram [Instinct MI300X]
AMD Aqua Vanjaram 7,203,774 53,000 135.92 0 hrs 11 mins
18 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 7,011,817 87,972 79.71 0 hrs 18 mins
19 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 6,256,505 222,717 28.09 0 hrs 51 mins
20 GeForce RTX 5060
GB206 [GeForce RTX 5060]
Nvidia GB206 6,074,385 53,000 114.61 0 hrs 13 mins
21 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 5,900,503 53,000 111.33 0 hrs 13 mins
22 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 5,881,110 60,307 97.52 0 hrs 15 mins
23 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 5,426,137 53,000 102.38 0 hrs 14 mins
24 GeForce RTX 5070 Ti Mobile
GB205M [GeForce RTX 5070 Ti Mobile]
Nvidia GB205M 5,416,409 53,000 102.20 0 hrs 14 mins
25 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 5,375,840 168,972 31.81 0 hrs 45 mins
26 GeForce RTX 4070 Max-Q / Mobile
AD106M [GeForce RTX 4070 Max-Q / Mobile]
Nvidia AD106M 5,153,810 53,000 97.24 0 hrs 15 mins
27 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 Super]
Nvidia TU104 4,950,777 53,000 93.41 0 hrs 15 mins
28 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 4,941,445 53,000 93.23 0 hrs 15 mins
29 RTX 4000 SFF Ada Generation
AD104GL [RTX 4000 SFF Ada Generation]
Nvidia AD104GL 4,261,472 53,000 80.41 0 hrs 18 mins
30 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 4,128,869 309,530 13.34 1 hrs 48 mins
31 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,098,164 241,126 17.00 1 hrs 25 mins
32 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,709,412 53,000 69.99 0 hrs 21 mins
33 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 3,681,986 53,000 69.47 0 hrs 21 mins
34 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,618,722 74,774 48.40 0 hrs 30 mins
35 Intel Arc B580 Graphics
Battlemage G21 [Intel Arc B580 Graphics]
Intel Battlemage G21 3,501,627 53,000 66.07 0 hrs 22 mins
36 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 3,361,557 53,000 63.43 0 hrs 23 mins
37 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 3,357,395 237,151 14.16 1 hrs 42 mins
38 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 3,058,826 307,474 9.95 2 hrs 25 mins
39 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,679,438 53,000 50.56 0 hrs 28 mins
40 Radeon RX 6700(XT)/6800M
Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]
AMD Navi 22 XT-XL 2,587,709 53,000 48.82 0 hrs 29 mins
41 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,567,087 264,123 9.72 2 hrs 28 mins
42 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 2,547,099 92,425 27.56 0 hrs 52 mins
43 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,537,729 71,906 35.29 0 hrs 41 mins
44 Radeon RX 9060(XT)
Navi 44 [Radeon RX 9060(XT)]
AMD Navi 44 2,434,060 53,000 45.93 0 hrs 31 mins
45 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,339,884 53,000 44.15 0 hrs 33 mins
46 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,295,360 53,000 43.31 0 hrs 33 mins
47 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,157,463 282,586 7.63 3 hrs 9 mins
48 Radeon RX 6650 XT
Navi 23 [Radeon RX 6650 XT]
AMD Navi 23 1,865,246 53,000 35.19 0 hrs 41 mins
49 GeForce RTX 4050 Max-Q / Mobile
AD107M [GeForce RTX 4050 Max-Q / Mobile]
Nvidia AD107M 1,693,317 53,000 31.95 0 hrs 45 mins
50 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,425,787 247,645 5.76 4 hrs 10 mins
51 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,425,632 53,000 26.90 0 hrs 54 mins
52 Radeon VII
Vega 20 [Radeon VII]
AMD Vega 20 1,380,389 53,000 26.05 0 hrs 55 mins
53 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,357,465 189,056 7.18 3 hrs 21 mins
54 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,326,775 250,686 5.29 4 hrs 32 mins
55 GeForce RTX 5080 Max-Q / Mobile
GB203M / GN22-X9 [GeForce RTX 5080 Max-Q / Mobile]
Nvidia GB203M / GN22-X9 1,321,432 53,000 24.93 0 hrs 58 mins
56 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,257,776 63,147 19.92 1 hrs 12 mins
57 CMP 30HX
TU116 [CMP 30HX]
Nvidia TU116 1,174,404 53,000 22.16 1 hrs 5 mins
58 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 929,885 53,000 17.55 1 hrs 22 mins
59 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 887,227 157,872 5.62 4 hrs 16 mins
60 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 878,374 53,000 16.57 1 hrs 27 mins
61 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 638,003 53,000 12.04 1 hrs 60 mins
62 R9 Fury X/NANO
Fiji XT [R9 Fury X/NANO]
AMD Fiji XT 620,469 53,000 11.71 2 hrs 3 mins
63 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 608,897 183,976 3.31 7 hrs 15 mins
64 Radeon PRO W6400
Navi 24 [Radeon PRO W6400]
AMD Navi 24 580,213 53,000 10.95 2 hrs 12 mins
65 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 510,678 53,000 9.64 2 hrs 29 mins
66 RX 5500(M)/Pro 5500M
Navi 14 [RX 5500(M)/Pro 5500M]
AMD Navi 14 494,024 53,000 9.32 2 hrs 34 mins
67 GeForce RTX 3050 6GB
GA107 [GeForce RTX 3050 6GB]
Nvidia GA107 491,177 53,000 9.27 2 hrs 35 mins
68 GeForce GTX 1650
TU116 [GeForce GTX 1650] 3091
Nvidia TU116 442,276 166,940 2.65 9 hrs 4 mins
69 Radeon RX 580 2048SP
Polaris 20 XL [Radeon RX 580 2048SP]
AMD Polaris 20 XL 427,232 53,000 8.06 2 hrs 59 mins
70 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 340,369 107,054 3.18 7 hrs 33 mins
71 Quadro M5000
GM204GL [Quadro M5000]
Nvidia GM204GL 333,094 53,000 6.28 3 hrs 49 mins
72 GeForce GTX 1650
TU106 [GeForce GTX 1650]
Nvidia TU106 320,002 53,000 6.04 3 hrs 58 mins
73 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 319,744 147,362 2.17 11 hrs 4 mins
74 GeForce GTX 980M
GM204 [GeForce GTX 980M] 3189
Nvidia GM204 318,431 53,000 6.01 3 hrs 60 mins
75 Quadro K5200
GK110 [Quadro K5200]
Nvidia GK110 294,443 53,000 5.56 4 hrs 19 mins
76 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 265,044 140,456 1.89 12 hrs 43 mins
77 GeForce GTX 1070 Mobile
GP104BM [GeForce GTX 1070 Mobile] 6463
Nvidia GP104BM 194,881 53,000 3.68 6 hrs 32 mins
78 Quadro T400 Mobile
TU117GLM [Quadro T400 Mobile]
Nvidia TU117GLM 162,292 53,000 3.06 7 hrs 50 mins
79 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 67,714 73,961 0.92 26 hrs 13 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:43:36
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 A10-7850K RADEON R7, 12 COMPUTE CORES 4C 8G 4 154,703 618,812 AMD
2 RYZEN 3 3100 4-CORE 8 AMD
3 RYZEN 5 5500 12 AMD