RESEARCH: CANCER
FOLDING PROJECT #16482 PROFILE
PROJECT TEAM
Manager(s): Sukrit SinghInstitution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 187,566Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project investigates how drugs work against cancer by studying a protein called Menin, which is often involved in hormone-producing tumors. Researchers will simulate Menin both alone and bound to a drug that shows promise in treating patients. They'll also look at how changes (mutations) in the Menin protein affect its ability to bind the drug.
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-1
A tumor suppressor protein involved in cell growth and development.
Menin-1 is a protein crucial for regulating gene expression and cell signaling. It's often found mutated in endocrine gland tumors, hindering its normal function. Scientists are studying how to target Menin-1 with drugs to stop tumor growth.
Endocrine Gland Tumors
Tumors that arise in glands responsible for producing and releasing hormones.
Endocrine gland tumors develop in tissues that produce hormones, like the thyroid or adrenal glands. These tumors can disrupt hormone production, leading to various health problems.
Mutations
Permanent changes in the DNA sequence.
Mutations are alterations in our genes that can affect how cells function. In cancer, mutations often disrupt normal cell growth and division, leading to tumor formation.
Small Molecules
Organic compounds with a relatively low molecular weight used as drugs or drug candidates.
Small molecules are chemical substances that can interact with biological targets, like proteins. They are frequently used in drug development to treat various diseases.
Ligands
Molecules that bind to specific receptors or target proteins.
Ligands are molecules that attach to specific sites on proteins, often triggering a biological response. They play a crucial role in cell signaling and drug action.
AlphaFold
A deep learning algorithm for predicting the three-dimensional structure of proteins.
AlphaFold is an advanced computer program that can accurately predict the shapes of proteins. This helps researchers understand how proteins function and design new drugs.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:15|
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 | 6,746,924 | 490,714 | 13.75 | 1 hrs 45 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,456,029 | 483,280 | 13.36 | 1 hrs 48 mins |
| 3 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,792,376 | 470,813 | 12.30 | 1 hrs 57 mins |
| 4 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,706,881 | 468,651 | 12.18 | 1 hrs 58 mins |
| 5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,900,387 | 444,868 | 11.02 | 2 hrs 11 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,589,160 | 436,512 | 10.51 | 2 hrs 17 mins |
| 7 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,327,654 | 425,829 | 10.16 | 2 hrs 22 mins |
| 8 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,322,588 | 391,218 | 8.49 | 2 hrs 50 mins |
| 9 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,159,628 | 378,679 | 8.34 | 2 hrs 53 mins |
| 10 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,941,049 | 385,516 | 7.63 | 3 hrs 9 mins |
| 11 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 2,881,082 | 370,647 | 7.77 | 3 hrs 5 mins |
| 12 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,806,638 | 370,387 | 7.58 | 3 hrs 10 mins |
| 13 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,692,340 | 363,850 | 7.40 | 3 hrs 15 mins |
| 14 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,639,138 | 360,596 | 7.32 | 3 hrs 17 mins |
| 15 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,445,449 | 353,869 | 6.91 | 3 hrs 28 mins |
| 16 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,313,388 | 345,541 | 6.69 | 3 hrs 35 mins |
| 17 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,175,869 | 340,162 | 6.40 | 3 hrs 45 mins |
| 18 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,138,144 | 337,295 | 6.34 | 3 hrs 47 mins |
| 19 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 2,059,436 | 334,103 | 6.16 | 3 hrs 54 mins |
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|||||||
| 20 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,856,838 | 312,359 | 5.94 | 4 hrs 2 mins |
| 21 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 1,760,691 | 316,936 | 5.56 | 4 hrs 19 mins |
| 22 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,743,866 | 315,180 | 5.53 | 4 hrs 20 mins |
| 23 | Tesla P40 GP102GL [Tesla P40] 11760 |
Nvidia | GP102GL | 1,673,437 | 311,455 | 5.37 | 4 hrs 28 mins |
| 24 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,619,092 | 308,571 | 5.25 | 4 hrs 34 mins |
| 25 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,608,920 | 307,670 | 5.23 | 4 hrs 35 mins |
| 26 | Radeon RX 6700/6700 XT / 6800M Navi 22 [Radeon RX 6700/6700 XT / 6800M] |
AMD | Navi 22 | 1,597,656 | 296,407 | 5.39 | 4 hrs 27 mins |
| 27 | GeForce RTX 3070 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3070 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,590,405 | 306,264 | 5.19 | 4 hrs 37 mins |
| 28 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,396,261 | 293,756 | 4.75 | 5 hrs 3 mins |
| 29 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,370,123 | 291,608 | 4.70 | 5 hrs 6 mins |
| 30 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,310,016 | 287,944 | 4.55 | 5 hrs 17 mins |
| 31 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,197,051 | 276,843 | 4.32 | 5 hrs 33 mins |
| 32 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,159,814 | 275,532 | 4.21 | 5 hrs 42 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 | 1,104,064 | 270,133 | 4.09 | 5 hrs 52 mins |
| 34 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,021,133 | 255,451 | 4.00 | 6 hrs 0 mins |
| 35 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 929,331 | 256,461 | 3.62 | 6 hrs 37 mins |
| 36 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 870,801 | 240,160 | 3.63 | 6 hrs 37 mins |
| 37 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 755,927 | 239,128 | 3.16 | 7 hrs 36 mins |
| 38 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 701,828 | 233,345 | 3.01 | 7 hrs 59 mins |
| 39 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 690,180 | 231,934 | 2.98 | 8 hrs 4 mins |
|
|
|||||||
| 40 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 567,408 | 218,190 | 2.60 | 9 hrs 14 mins |
| 41 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 447,941 | 200,987 | 2.23 | 10 hrs 46 mins |
| 42 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 439,828 | 199,590 | 2.20 | 10 hrs 53 mins |
| 43 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 289,077 | 174,403 | 1.66 | 14 hrs 29 mins |
| 44 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 286,596 | 172,842 | 1.66 | 14 hrs 28 mins |
| 45 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 248,096 | 164,047 | 1.51 | 15 hrs 52 mins |
| 46 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 213,380 | 156,185 | 1.37 | 17 hrs 34 mins |
| 47 | Radeon RX Vega M XL [Radeon RX Vega M XL] |
AMD | Vega | 157,883 | 126,163 | 1.25 | 19 hrs 11 mins |
| 48 | GRID M40 GM107GL [GRID M40] |
Nvidia | GM107GL | 140,631 | 136,970 | 1.03 | 23 hrs 23 mins |
| 49 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 136,590 | 135,308 | 1.01 | 23 hrs 46 mins |
| 50 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 125,678 | 115,975 | 1.08 | 22 hrs 9 mins |
| 51 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 102,376 | 90,594 | 1.13 | 21 hrs 14 mins |
| 52 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 93,287 | 119,342 | 0.78 | 30 hrs 42 mins |
| 53 | Radeon RX Vega gfx902 raven [Radeon RX Vega gfx902] |
AMD | raven | 48,912 | 95,929 | 0.51 | 47 hrs 4 mins |
| 54 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 15,347 | 69,858 | 0.22 | 109 hrs 15 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:15|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|