RESEARCH: CANCER
FOLDING PROJECT #16483 PROFILE
PROJECT TEAM
Manager(s): Sukrit SinghInstitution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 187,583Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Cancer often involves multiple malfunctioning proteins. The project focuses on Menin, a protein involved in hormone production and cell regulation. Researchers are using computer simulations to study how small molecules can inhibit Menin and how mutations in Menin affect its ability to bind these inhibitors. This could lead to new treatments for endocrine gland tumors.
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 regulates cell signaling and gene expression.
Menin is a crucial protein found within the cell's nucleus. It plays a vital role in controlling how cells communicate with each other (cell signaling) and which genes are turned on or off (gene expression). This makes Menin important for regulating many cellular processes, including growth and development.
Small-molecules
Molecules with a relatively small size that can bind to specific target proteins.
Small molecules are compounds of limited size used in medicine and research. They often function as drugs by binding to specific proteins in the body, influencing their activity. These interactions can be used to treat diseases or study cellular processes.
Mutations
Permanent changes in the DNA sequence of a gene.
Mutations are alterations in the genetic code that can affect how proteins function. They can occur spontaneously or be induced by environmental factors like radiation. In cancer, mutations often lead to uncontrolled cell growth and proliferation.
AlphaFold
An artificial intelligence system for predicting protein structures.
AlphaFold is a groundbreaking AI tool that can predict the three-dimensional shapes of proteins with remarkable accuracy. This has revolutionized research by providing crucial insights into how proteins function and interact.
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 | 7,097,483 | 503,002 | 14.11 | 1 hrs 42 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,236,667 | 476,988 | 13.08 | 1 hrs 50 mins |
| 3 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,833,806 | 472,098 | 12.36 | 1 hrs 57 mins |
| 4 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,678,382 | 467,320 | 12.15 | 1 hrs 59 mins |
| 5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,851,407 | 444,460 | 10.92 | 2 hrs 12 mins |
| 6 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,586,346 | 434,745 | 10.55 | 2 hrs 16 mins |
| 7 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,173,200 | 421,684 | 9.90 | 2 hrs 26 mins |
| 8 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,463,692 | 397,734 | 8.71 | 2 hrs 45 mins |
| 9 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,296,430 | 389,727 | 8.46 | 2 hrs 50 mins |
| 10 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,813,451 | 369,482 | 7.61 | 3 hrs 9 mins |
| 11 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,698,504 | 366,317 | 7.37 | 3 hrs 15 mins |
| 12 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,599,285 | 360,980 | 7.20 | 3 hrs 20 mins |
| 13 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,544,721 | 357,393 | 7.12 | 3 hrs 22 mins |
| 14 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,532,349 | 357,943 | 7.07 | 3 hrs 24 mins |
| 15 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,479,886 | 355,298 | 6.98 | 3 hrs 26 mins |
| 16 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,235,389 | 343,354 | 6.51 | 3 hrs 41 mins |
| 17 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 2,228,134 | 343,037 | 6.50 | 3 hrs 42 mins |
| 18 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 2,135,749 | 337,652 | 6.33 | 3 hrs 48 mins |
| 19 | GeForce RTX 3070 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3070 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 2,072,395 | 336,050 | 6.17 | 3 hrs 54 mins |
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|
|||||||
| 20 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,067,418 | 331,301 | 6.24 | 3 hrs 51 mins |
| 21 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 2,040,503 | 332,398 | 6.14 | 3 hrs 55 mins |
| 22 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 1,767,421 | 317,576 | 5.57 | 4 hrs 19 mins |
| 23 | Tesla P40 GP102GL [Tesla P40] 11760 |
Nvidia | GP102GL | 1,699,388 | 312,856 | 5.43 | 4 hrs 25 mins |
| 24 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,671,647 | 307,869 | 5.43 | 4 hrs 25 mins |
| 25 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,663,760 | 302,532 | 5.50 | 4 hrs 22 mins |
| 26 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,394,001 | 293,970 | 4.74 | 5 hrs 4 mins |
| 27 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,277,436 | 285,224 | 4.48 | 5 hrs 22 mins |
| 28 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,227,551 | 277,424 | 4.42 | 5 hrs 25 mins |
| 29 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,210,532 | 273,013 | 4.43 | 5 hrs 25 mins |
| 30 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,210,193 | 278,133 | 4.35 | 5 hrs 31 mins |
| 31 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,171,044 | 276,733 | 4.23 | 5 hrs 40 mins |
| 32 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,051,806 | 264,560 | 3.98 | 6 hrs 2 mins |
| 33 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 931,868 | 256,892 | 3.63 | 6 hrs 37 mins |
| 34 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 842,267 | 248,188 | 3.39 | 7 hrs 4 mins |
| 35 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 699,410 | 233,214 | 3.00 | 8 hrs 0 mins |
| 36 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 694,009 | 232,467 | 2.99 | 8 hrs 2 mins |
| 37 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 634,605 | 215,625 | 2.94 | 8 hrs 9 mins |
| 38 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 602,030 | 221,824 | 2.71 | 8 hrs 51 mins |
| 39 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 587,436 | 198,532 | 2.96 | 8 hrs 7 mins |
|
|
|||||||
| 40 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 403,287 | 194,178 | 2.08 | 11 hrs 33 mins |
| 41 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 337,528 | 185,172 | 1.82 | 13 hrs 10 mins |
| 42 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 293,131 | 175,075 | 1.67 | 14 hrs 20 mins |
| 43 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 284,359 | 173,066 | 1.64 | 14 hrs 36 mins |
| 44 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 261,802 | 170,293 | 1.54 | 15 hrs 37 mins |
| 45 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 251,947 | 166,447 | 1.51 | 15 hrs 51 mins |
| 46 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 206,663 | 151,261 | 1.37 | 17 hrs 34 mins |
| 47 | Radeon RX Vega M XL [Radeon RX Vega M XL] |
AMD | Vega | 191,683 | 151,670 | 1.26 | 18 hrs 59 mins |
| 48 | GeForce GTX 690 GK104 [GeForce GTX 690] 3130 |
Nvidia | GK104 | 185,616 | 130,447 | 1.42 | 16 hrs 52 mins |
| 49 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 143,733 | 137,933 | 1.04 | 23 hrs 2 mins |
| 50 | GRID M40 GM107GL [GRID M40] |
Nvidia | GM107GL | 137,973 | 136,125 | 1.01 | 23 hrs 41 mins |
| 51 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 137,143 | 135,655 | 1.01 | 23 hrs 44 mins |
| 52 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 132,688 | 134,036 | 0.99 | 24 hrs 15 mins |
| 53 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 94,347 | 119,813 | 0.79 | 30 hrs 29 mins |
| 54 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 93,264 | 105,598 | 0.88 | 27 hrs 10 mins |
| 55 | GeForce GTX 960M GM107 [GeForce GTX 960M] 1439 |
Nvidia | GM107 | 76,337 | 103,857 | 0.74 | 32 hrs 39 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 |
|---|