Folding project #16775, CANCER research

Research section Research projects and references

Project #16775 overview

Project Summary AI Beta

The project relates to finding new ways to treat cancer caused by mutations in the KRAS gene. KRAS is hard to target with drugs because its shape makes it slippery. This project focuses on using molecules that act like glue, binding KRAS to other proteins that can destroy it or change how it works.

Automated summary; simplified and may not be fully accurate.

Project team

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

Work unit

Atoms: 134,520
Core: 0x27
Status: Public

Source material

Official 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.

Reading reference

Related Terms Glossary AI Beta

Automated high-level definitions; simplified and may not be fully accurate.

KRAS

Kirsten rat sarcoma viral oncogene homolog

Technical: BiotechnologyOncology / Cancer Biology

KRAS is a gene that codes for a protein involved in cell growth and division. Mutations in the KRAS gene are frequently found in human cancers and can lead to uncontrolled cell growth.

oncogenes

Genes that have the potential to cause cancer when mutated or overexpressed.

Technical: BiotechnologyOncology / Cancer Biology

Oncogenes are genes that promote cell growth and division. When they become mutated or overactive, they can contribute to the development of cancer.

MAPK

Mitogen-activated protein kinase

Technical: BiotechnologyMolecular Biology / Signaling Pathways

The MAPK pathway is a series of chemical reactions inside cells that transmits signals from the outside to the nucleus. This pathway plays a crucial role in regulating cell growth, differentiation, and survival.

PI3K

Phosphoinositide 3-kinase

Technical: BiotechnologyMolecular Biology / Signaling Pathways

The PI3K pathway is another important signaling pathway that controls cell growth, metabolism, and survival. It often works in conjunction with the MAPK pathway.

E3 ligases

Enzymes that tag proteins for degradation by the proteasome.

Technical: BiotechnologyMolecular Biology / Protein Degradation

E3 ligases are proteins that play a critical role in regulating protein levels within cells. They recognize specific target proteins and attach a small molecule called ubiquitin to them, marking them for destruction.

molecular glues

Small molecules that bind to proteins and promote protein-protein interactions.

Technical: PharmaceuticalDrug Discovery / Chemical Biology

Molecular glues are a novel class of drugs that aim to manipulate protein-protein interactions. They work by bringing together two proteins that normally wouldn't interact, leading to changes in cellular function.

VHL

Von Hippel-Lindau tumor suppressor protein

Technical: BiotechnologyMolecular Biology / Tumor Suppressor Proteins

VHL is a protein that normally helps to regulate cell growth and prevent the formation of tumors. Mutations in the VHL gene can lead to various types of cancer.

G12 mutants

KRAS mutations in the G12 codon.

Technical: BiotechnologyMolecular Biology / Cancer Genomics

G12 mutants are a specific type of KRAS mutation that is often found in cancers. These mutations disrupt the normal function of the KRAS protein and contribute to uncontrolled cell growth.

GPU PPD Averages

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	23,145,762	188,204	122.98	0 ^hrs 12 ^mins
2	GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti]	Nvidia	GB203	17,869,879	53,000	337.17	0 ^hrs 4 ^mins
3	GeForce RTX 4080 AD103 [GeForce RTX 4080]	Nvidia	AD103	17,730,436	199,055	89.07	0 ^hrs 16 ^mins
4	GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER]	Nvidia	AD103	17,621,919	475,843	37.03	0 ^hrs 39 ^mins
5	GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER]	Nvidia	AD103	14,211,917	60,601	234.52	0 ^hrs 6 ^mins
6	GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti]	Nvidia	AD104	13,492,694	194,833	69.25	0 ^hrs 21 ^mins
7	GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER]	Nvidia	AD104	11,902,102	130,201	91.41	0 ^hrs 16 ^mins
8	GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti]	Nvidia	GA102	10,863,454	53,000	204.97	0 ^hrs 7 ^mins
9	GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti]	Nvidia	GA102	10,141,197	311,063	32.60	0 ^hrs 44 ^mins
10	GeForce RTX 3090 GA102 [GeForce RTX 3090]	Nvidia	GA102	9,570,367	196,513	48.70	0 ^hrs 30 ^mins
11	GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB]	Nvidia	GA102	9,208,034	53,000	173.74	0 ^hrs 8 ^mins
12	GeForce RTX 4070 AD104 [GeForce RTX 4070]	Nvidia	AD104	7,784,089	288,539	26.98	0 ^hrs 53 ^mins
13	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	7,715,141	214,055	36.04	0 ^hrs 40 ^mins
14	Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE]	AMD	Navi 31	7,516,063	53,683	140.01	0 ^hrs 10 ^mins
15	GeForce RTX 3080 GA102 [GeForce RTX 3080]	Nvidia	GA102	7,443,860	301,455	24.69	0 ^hrs 58 ^mins
16	Instinct MI300X Aqua Vanjaram [Instinct MI300X]	AMD	Aqua Vanjaram	7,241,043	53,000	136.62	0 ^hrs 11 ^mins
17	GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448	Nvidia	TU102	7,051,806	77,329	91.19	0 ^hrs 16 ^mins
18	GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti]	Nvidia	GA104	6,183,706	210,121	29.43	0 ^hrs 49 ^mins
19	GeForce RTX 5060 GB206 [GeForce RTX 5060]	Nvidia	GB206	6,015,245	53,000	113.50	0 ^hrs 13 ^mins

20	GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448	Nvidia	TU102	5,911,748	53,000	111.54	0 ^hrs 13 ^mins
21	GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate]	Nvidia	GA104	5,682,448	62,371	91.11	0 ^hrs 16 ^mins
22	GeForce RTX 5070 Ti Mobile GB205M [GeForce RTX 5070 Ti Mobile]	Nvidia	GB205M	5,634,700	53,000	106.32	0 ^hrs 14 ^mins
23	TITAN V GV100 [TITAN V] M 12288	Nvidia	GV100	5,448,799	53,000	102.81	0 ^hrs 14 ^mins
24	Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)]	AMD	Navi 48	5,327,829	208,416	25.56	0 ^hrs 56 ^mins
25	Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT]	AMD	Navi 21	4,999,606	53,000	94.33	0 ^hrs 15 ^mins
26	GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super]	Nvidia	TU104	4,987,385	53,000	94.10	0 ^hrs 15 ^mins
27	GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile]	Nvidia	AD106M	4,831,914	53,000	91.17	0 ^hrs 16 ^mins
28	Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT]	AMD	Navi 21	4,630,600	161,785	28.62	0 ^hrs 50 ^mins
29	RTX PRO 2000 Blackwell GB206GL [RTX PRO 2000 Blackwell]	Nvidia	GB206GL	4,507,655	53,000	85.05	0 ^hrs 17 ^mins
30	RTX 4000 SFF Ada Generation AD104GL [RTX 4000 SFF Ada Generation]	Nvidia	AD104GL	4,391,918	53,000	82.87	0 ^hrs 17 ^mins
31	GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A]	Nvidia	TU106	3,817,719	53,000	72.03	0 ^hrs 20 ^mins
32	GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate]	Nvidia	GA104	3,680,260	69,719	52.79	0 ^hrs 27 ^mins
33	GeForce RTX 4060 AD107 [GeForce RTX 4060]	Nvidia	AD107	3,642,171	53,000	68.72	0 ^hrs 21 ^mins
34	GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218	Nvidia	TU104	3,462,585	53,000	65.33	0 ^hrs 22 ^mins
35	Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT]	AMD	Navi 32	3,392,495	53,000	64.01	0 ^hrs 22 ^mins
36	Intel Arc B580 Graphics Battlemage G21 [Intel Arc B580 Graphics]	Intel	Battlemage G21	3,366,306	53,000	63.52	0 ^hrs 23 ^mins
37	GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti]	Nvidia	GA104	2,963,059	203,393	14.57	1 ^hrs 39 ^mins
38	GeForce RTX 5080 Max-Q / Mobile GB203M / GN22-X9 [GeForce RTX 5080 Max-Q / Mobile]	Nvidia	GB203M / GN22-X9	2,949,269	53,000	55.65	0 ^hrs 26 ^mins
39	GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti]	Nvidia	AD106	2,949,198	299,063	9.86	2 ^hrs 26 ^mins

40	Radeon 8050S/8060S Strix Halo [Radeon 8050S/8060S]	AMD	Strix Halo	2,743,013	53,000	51.75	0 ^hrs 28 ^mins
41	Quadro RTX 4000 TU104GL [Quadro RTX 4000]	Nvidia	TU104GL	2,667,416	303,928	8.78	2 ^hrs 44 ^mins
42	GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380	Nvidia	GP102	2,584,908	53,000	48.77	0 ^hrs 30 ^mins
43	Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]	AMD	Navi 22 XT-XL	2,567,164	53,000	48.44	0 ^hrs 30 ^mins
44	GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q]	Nvidia	GA106M	2,496,803	86,131	28.99	0 ^hrs 50 ^mins
45	Radeon RX 9060(XT) Navi 44 [Radeon RX 9060(XT)]	AMD	Navi 44	2,460,401	53,000	46.42	0 ^hrs 31 ^mins
46	GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER]	Nvidia	TU106	2,438,765	259,553	9.40	2 ^hrs 33 ^mins
47	GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate]	Nvidia	GA106	2,359,193	53,000	44.51	0 ^hrs 32 ^mins
48	GeForce RTX 3060 GA104 [GeForce RTX 3060]	Nvidia	GA104	2,317,073	53,000	43.72	0 ^hrs 33 ^mins
49	GeForce RTX 2060 TU106 [Geforce RTX 2060]	Nvidia	TU106	2,166,420	283,584	7.64	3 ^hrs 8 ^mins
50	CMP 30HX TU116 [CMP 30HX]	Nvidia	TU116	2,069,613	53,000	39.05	0 ^hrs 37 ^mins
51	Radeon RX 6650 XT Navi 23 [Radeon RX 6650 XT]	AMD	Navi 23	1,823,661	53,000	34.41	0 ^hrs 42 ^mins
52	GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile]	Nvidia	AD107M	1,812,097	53,000	34.19	0 ^hrs 42 ^mins
53	Radeon VII Vega 20 [Radeon VII]	AMD	Vega 20	1,455,196	53,000	27.46	0 ^hrs 52 ^mins
54	GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile]	Nvidia	TU106M	1,389,036	53,000	26.21	0 ^hrs 55 ^mins
55	GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463	Nvidia	GP104	1,360,875	196,579	6.92	3 ^hrs 28 ^mins
56	Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64]	AMD	Vega 10 XL/XT	1,247,784	53,000	23.54	1 ^hrs 1 ^mins
57	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,145,317	70,863	16.16	1 ^hrs 29 ^mins
58	Radeon RX 6600(XT/M) Navi 23 XT-XL [Radeon RX 6600(XT/M)]	AMD	Navi 23 XT-XL	1,080,046	53,000	20.38	1 ^hrs 11 ^mins
59	GeForce GTX 1650 TU106 [GeForce GTX 1650]	Nvidia	TU106	1,009,678	53,000	19.05	1 ^hrs 16 ^mins

60	GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873	Nvidia	GP104	959,848	163,306	5.88	4 ^hrs 5 ^mins
61	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	889,510	53,000	16.78	1 ^hrs 26 ^mins
62	GeForce GTX 1660 TU116 [GeForce GTX 1660]	Nvidia	TU116	875,525	53,000	16.52	1 ^hrs 27 ^mins
63	GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935	Nvidia	GP106	741,526	53,000	13.99	1 ^hrs 43 ^mins
64	R9 Fury X/NANO Fiji XT [R9 Fury X/NANO]	AMD	Fiji XT	624,176	53,000	11.78	2 ^hrs 2 ^mins
65	GeForce GTX 1650 TU117 [GeForce GTX 1650]	Nvidia	TU117	595,658	53,000	11.24	2 ^hrs 8 ^mins
66	Tesla P4 GP104GL [Tesla P4] 5704	Nvidia	GP104GL	571,868	180,310	3.17	7 ^hrs 34 ^mins
67	RX 5500(M)/Pro 5500M Navi 14 [RX 5500(M)/Pro 5500M]	AMD	Navi 14	475,595	53,000	8.97	2 ^hrs 40 ^mins
68	Radeon RX 580 2048SP Polaris 20 XL [Radeon RX 580 2048SP]	AMD	Polaris 20 XL	426,366	53,000	8.04	2 ^hrs 59 ^mins
69	GeForce GTX 970 GM204 [GeForce GTX 970] 3494	Nvidia	GM204	425,367	53,000	8.03	2 ^hrs 59 ^mins
70	GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463	Nvidia	GP104BM	349,110	53,000	6.59	3 ^hrs 39 ^mins
71	Radeon PRO W6400 Navi 24 [Radeon PRO W6400]	AMD	Navi 24	348,993	53,000	6.58	3 ^hrs 39 ^mins
72	Quadro M5000 GM204GL [Quadro M5000]	Nvidia	GM204GL	344,755	53,000	6.50	3 ^hrs 41 ^mins
73	Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile]	Nvidia	TU117GLM	316,716	149,008	2.13	11 ^hrs 17 ^mins
74	GeForce GTX 980M GM204 [GeForce GTX 980M] 3189	Nvidia	GM204	313,667	53,000	5.92	4 ^hrs 3 ^mins
75	GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138	Nvidia	GP107	296,087	84,495	3.50	6 ^hrs 51 ^mins
76	Quadro P1000 GP107GL [Quadro P1000]	Nvidia	GP107GL	265,424	140,586	1.89	12 ^hrs 43 ^mins
77	Quadro K5200 GK110 [Quadro K5200]	Nvidia	GK110	258,306	53,000	4.87	4 ^hrs 55 ^mins
78	Quadro T400 Mobile TU117GLM [Quadro T400 Mobile]	Nvidia	TU117GLM	156,953	53,000	2.96	8 ^hrs 6 ^mins
79	GeForce GT 1030 GP108 [GeForce GT 1030]	Nvidia	GP108	91,094	79,180	1.15	20 ^hrs 52 ^mins

CPU PPD Averages Beta

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	152,295	609,180	AMD

Research: CANCER Folding Project #16775

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 16775

GPU PPD Averages

CPU PPD Averages Beta

Research: CANCER Folding Project #16775

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages

CPU PPD Averages Beta