RESEARCH: CANCER
FOLDING PROJECT #16482 PROFILE

PROJECT TEAM

Manager(s): Sukrit Singh
Institution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website

WORK UNIT INFO

Atoms: 187,566
Core: OPENMM_22
Status: Public

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

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

Menin-1

A tumor suppressor protein involved in cell growth and development.

Protein: Biotechnology
Oncology / Tumor Biology

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.

Medical Condition: Healthcare
Oncology / Hormone-Related Cancers

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.

Genetic Alteration: Biotechnology
Genetics / Cancer Biology

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.

Pharmaceutical Compound: Biotechnology
Pharmacology / Drug Discovery

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.

Biochemical Entity: Biotechnology
Pharmacology / Drug-Target Interaction

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.

Computational Tool: Biotechnology
Bioinformatics / Protein Structure Prediction

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
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