RESEARCH: CANCER
FOLDING PROJECT #16476 PROFILE
PROJECT TEAM
Manager(s): Sukrit SinghInstitution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 187,564Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Cancer often involves many faulty proteins. This project focuses on Menin, a protein important for hormone-producing tumors. Researchers will use computer models to study how drugs block Menin and how cancer mutations affect this interaction. This could lead to better treatments for these types of cancers.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
In cancer treatment it is common to target multiple different putative proteins, because multiple proteins can malfunction in tumors to drive cancer.
One such protein, particularly known to be important in endocrine gland tumors (the places where hormones are secreted), is Menin-1 (Menin).
Menin is a protein found in the nucleus protein and plays a key role in regulating cell-signaling and gene expression (which genes turn on and off).
While the explicit details of Menin's behavior are not known, targeting it's inhibition with small-molecules (ligands) has demonstrated promising potential in blocking tumor growth.
However, like with many disease, mutations within Menin can *also* counteract this ligand-binding behavior.
Therefore, it is not just important to study how Menin works, or how to target it with small molecules, but also how mutations impact Menin-Ligand interactions.
This set of projects seeks to answer the latter two questions - how do small molecules inhibit Menin and how do mutations within Menin alter small-molecule affinity.
In projects 16472 & 16473, we simulate Menin by itself and Menin bound to a known small molecule inhibitor that is shown to treat tumors in patients! Thanks to the powerhouse efforts at cataloguing cancer mutations at Memorial Sloan-Kettering, we also know of 3 mutations that impact the ability of Menin to bind this inhibitor.
Projects 16474–16483 simulate either a) each of these Menin mutants or b) Menin mutants bound to this inhibitor. Bonus: Some of these structures are being simulated with the help of the AlphaFold database!.
RELATED TERMS GLOSSARY AI BETA
Menin
A protein found in the nucleus that plays a key role in regulating cell-signaling and gene expression.
Menin is a crucial protein located within the cell's nucleus. It's responsible for controlling how cells communicate with each other and which genes are turned on or off. This makes Menin vital for normal cell growth and function. In cancer, mutations in Menin can disrupt its activity, contributing to tumor development.
Ligands
Molecules that bind to a specific target (e.g., protein) and elicit a biological response.
Ligands are molecules that attach to specific targets within the body, like proteins. When they bind, they can trigger various biological effects. In drug development, ligands are often designed to interact with disease-causing proteins, aiming to treat or prevent illness.
Mutations
Permanent alterations in the DNA sequence.
Mutations are changes in the DNA code that makes up our genes. These changes can occur spontaneously or be caused by environmental factors like radiation. While some mutations are harmless, others can disrupt gene function and lead to diseases like cancer.
AlphaFold
An AI system that predicts the 3D structure of proteins from their amino acid sequence.
AlphaFold is a powerful artificial intelligence tool used to predict the shape of proteins based on their building blocks (amino acids). Understanding protein structure is crucial for drug discovery and other biological research.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:19|
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 | 7,193,197 | 506,539 | 14.20 | 1 hrs 41 mins |
| 2 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,896,334 | 475,696 | 12.40 | 1 hrs 56 mins |
| 3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,778,418 | 467,078 | 12.37 | 1 hrs 56 mins |
| 4 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 5,751,004 | 454,046 | 12.67 | 1 hrs 54 mins |
| 5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,902,907 | 447,972 | 10.94 | 2 hrs 12 mins |
| 6 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,887,008 | 445,982 | 10.96 | 2 hrs 11 mins |
| 7 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,381,935 | 430,717 | 10.17 | 2 hrs 22 mins |
| 8 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,467,369 | 398,851 | 8.69 | 2 hrs 46 mins |
| 9 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,464,494 | 399,655 | 8.67 | 2 hrs 46 mins |
| 10 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,825,603 | 370,012 | 7.64 | 3 hrs 9 mins |
| 11 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,688,907 | 366,816 | 7.33 | 3 hrs 16 mins |
| 12 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,656,771 | 366,245 | 7.25 | 3 hrs 19 mins |
| 13 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,642,650 | 364,723 | 7.25 | 3 hrs 19 mins |
| 14 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,516,474 | 359,140 | 7.01 | 3 hrs 26 mins |
| 15 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,478,731 | 357,056 | 6.94 | 3 hrs 27 mins |
| 16 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,247,926 | 345,868 | 6.50 | 3 hrs 42 mins |
| 17 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 2,181,421 | 342,845 | 6.36 | 3 hrs 46 mins |
| 18 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,114,714 | 336,573 | 6.28 | 3 hrs 49 mins |
| 19 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 2,071,967 | 335,534 | 6.18 | 3 hrs 53 mins |
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|
|||||||
| 20 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,955,910 | 330,512 | 5.92 | 4 hrs 3 mins |
| 21 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,741,696 | 316,745 | 5.50 | 4 hrs 22 mins |
| 22 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,737,687 | 317,407 | 5.47 | 4 hrs 23 mins |
| 23 | Tesla P40 GP102GL [Tesla P40] 11760 |
Nvidia | GP102GL | 1,692,524 | 314,111 | 5.39 | 4 hrs 27 mins |
| 24 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 1,598,802 | 302,492 | 5.29 | 4 hrs 32 mins |
| 25 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,543,633 | 304,160 | 5.08 | 4 hrs 44 mins |
| 26 | GeForce RTX 3070 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3070 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,480,991 | 273,495 | 5.42 | 4 hrs 26 mins |
| 27 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,355,421 | 291,947 | 4.64 | 5 hrs 10 mins |
| 28 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,316,550 | 289,586 | 4.55 | 5 hrs 17 mins |
| 29 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,274,235 | 285,520 | 4.46 | 5 hrs 23 mins |
| 30 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,237,185 | 281,411 | 4.40 | 5 hrs 28 mins |
| 31 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] 4550 |
Nvidia | TU106M | 1,204,886 | 281,136 | 4.29 | 5 hrs 36 mins |
| 32 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,180,338 | 279,064 | 4.23 | 5 hrs 40 mins |
| 33 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,154,970 | 262,531 | 4.40 | 5 hrs 27 mins |
| 34 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,070,741 | 241,034 | 4.44 | 5 hrs 24 mins |
| 35 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,020,122 | 251,650 | 4.05 | 5 hrs 55 mins |
| 36 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 911,731 | 255,476 | 3.57 | 6 hrs 44 mins |
| 37 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 763,597 | 241,498 | 3.16 | 7 hrs 35 mins |
| 38 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 702,253 | 234,609 | 2.99 | 8 hrs 1 mins |
| 39 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 604,123 | 223,483 | 2.70 | 8 hrs 53 mins |
|
|
|||||||
| 40 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 510,731 | 211,044 | 2.42 | 9 hrs 55 mins |
| 41 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 465,224 | 205,175 | 2.27 | 10 hrs 35 mins |
| 42 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 439,566 | 198,920 | 2.21 | 10 hrs 52 mins |
| 43 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 358,740 | 144,134 | 2.49 | 9 hrs 39 mins |
| 44 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 356,050 | 135,164 | 2.63 | 9 hrs 7 mins |
| 45 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 311,398 | 179,496 | 1.73 | 13 hrs 50 mins |
| 46 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 288,299 | 174,623 | 1.65 | 14 hrs 32 mins |
| 47 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 252,373 | 159,586 | 1.58 | 15 hrs 11 mins |
| 48 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 252,243 | 166,545 | 1.51 | 15 hrs 51 mins |
| 49 | Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series] |
AMD | Hawaii | 157,775 | 85,875 | 1.84 | 13 hrs 4 mins |
| 50 | Radeon HD 7800 Series Pitcairn PRO [Radeon HD 7800 Series] |
AMD | Pitcairn PRO | 99,704 | 121,212 | 0.82 | 29 hrs 11 mins |
| 51 | GeForce GTX 960M GM107 [GeForce GTX 960M] 1439 |
Nvidia | GM107 | 63,787 | 76,290 | 0.84 | 28 hrs 42 mins |
| 52 | Radeon RX Vega gfx902 raven [Radeon RX Vega gfx902] |
AMD | raven | 11,946 | 70,811 | 0.17 | 142 hrs 16 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:19|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|