PROJECT #16487 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
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 16474–16487 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!.
PROJECT INFO
Manager(s): Sukrit Singh
Institution: Memorial Sloan-Kettering Cancer-Center
Project URL: http://sukritsingh.github.io/
PROJECT WORK UNIT SUMMARY
Atoms: 187,585
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Tuesday, 07 February 2023 12:14:59
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 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 7,147,808 | 502,824 | 14.22 | 2 hrs 41 mins |
2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 7,135,026 | 500,466 | 14.26 | 2 hrs 41 mins |
3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,786,430 | 467,123 | 12.39 | 2 hrs 56 mins |
4 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 5,174,942 | 443,548 | 11.67 | 2 hrs 3 mins |
5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,502,999 | 431,349 | 10.44 | 2 hrs 18 mins |
6 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,296,371 | 425,257 | 10.10 | 2 hrs 23 mins |
7 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,199,234 | 422,249 | 9.94 | 2 hrs 25 mins |
8 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,759,377 | 408,166 | 9.21 | 3 hrs 36 mins |
9 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,731,332 | 408,089 | 9.14 | 3 hrs 37 mins |
10 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,385,243 | 394,528 | 8.58 | 3 hrs 48 mins |
11 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 3,164,167 | 379,586 | 8.34 | 3 hrs 53 mins |
12 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,082,745 | 382,204 | 8.07 | 3 hrs 59 mins |
13 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,011,048 | 378,955 | 7.95 | 3 hrs 1 mins |
14 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,939,219 | 376,103 | 7.81 | 3 hrs 4 mins |
15 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,879,435 | 373,728 | 7.70 | 3 hrs 7 mins |
16 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,864,801 | 372,350 | 7.69 | 3 hrs 7 mins |
17 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 2,746,197 | 368,109 | 7.46 | 3 hrs 13 mins |
18 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,706,982 | 366,120 | 7.39 | 3 hrs 15 mins |
19 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,538,008 | 358,266 | 7.08 | 3 hrs 23 mins |
20 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,443,292 | 350,598 | 6.97 | 3 hrs 27 mins |
21 | Tesla P100 16GB GP100GL [Tesla P100 16GB] 9340 |
Nvidia | GP100GL | 2,418,686 | 352,725 | 6.86 | 3 hrs 30 mins |
22 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,415,433 | 357,433 | 6.76 | 4 hrs 33 mins |
23 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,217,199 | 342,736 | 6.47 | 4 hrs 43 mins |
24 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,212,829 | 342,466 | 6.46 | 4 hrs 43 mins |
25 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,080,483 | 335,048 | 6.21 | 4 hrs 52 mins |
26 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,039,821 | 332,964 | 6.13 | 4 hrs 55 mins |
27 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,931,388 | 327,202 | 5.90 | 4 hrs 4 mins |
28 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 1,817,244 | 296,791 | 6.12 | 4 hrs 55 mins |
29 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,788,388 | 318,097 | 5.62 | 4 hrs 16 mins |
30 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,744,815 | 316,810 | 5.51 | 4 hrs 21 mins |
31 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,705,494 | 313,887 | 5.43 | 4 hrs 25 mins |
32 | GeForce RTX 3070 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3070 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,597,226 | 307,027 | 5.20 | 5 hrs 37 mins |
33 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 1,519,933 | 301,922 | 5.03 | 5 hrs 46 mins |
34 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,366,170 | 291,346 | 4.69 | 5 hrs 7 mins |
35 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,311,310 | 286,766 | 4.57 | 5 hrs 15 mins |
36 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,174,500 | 276,987 | 4.24 | 6 hrs 40 mins |
37 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] 4550 |
Nvidia | TU106M | 1,174,024 | 277,651 | 4.23 | 6 hrs 41 mins |
38 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,167,180 | 276,841 | 4.22 | 6 hrs 42 mins |
39 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,165,983 | 276,488 | 4.22 | 6 hrs 41 mins |
40 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,162,939 | 276,118 | 4.21 | 6 hrs 42 mins |
41 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,116,984 | 267,668 | 4.17 | 6 hrs 45 mins |
42 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,050,802 | 264,101 | 3.98 | 6 hrs 2 mins |
43 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 941,749 | 257,597 | 3.66 | 7 hrs 34 mins |
44 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 924,599 | 255,780 | 3.61 | 7 hrs 38 mins |
45 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 792,056 | 243,123 | 3.26 | 7 hrs 22 mins |
46 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 741,467 | 237,848 | 3.12 | 8 hrs 42 mins |
47 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 675,994 | 230,838 | 2.93 | 8 hrs 12 mins |
48 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 644,342 | 227,207 | 2.84 | 8 hrs 28 mins |
49 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 595,394 | 221,144 | 2.69 | 9 hrs 55 mins |
50 | Radeon R9 Fury X Fiji XT [Radeon R9 Fury X] |
AMD | Fiji XT | 584,619 | 219,175 | 2.67 | 9 hrs 60 mins |
51 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 511,113 | 210,122 | 2.43 | 10 hrs 52 mins |
52 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 454,408 | 196,642 | 2.31 | 10 hrs 23 mins |
53 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 432,355 | 189,562 | 2.28 | 11 hrs 31 mins |
54 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 369,005 | 188,923 | 1.95 | 12 hrs 17 mins |
55 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 346,511 | 184,535 | 1.88 | 13 hrs 47 mins |
56 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 290,181 | 174,199 | 1.67 | 14 hrs 24 mins |
57 | Radeon RX 5500/5500M / Pro 5500M Navi 14 [Radeon RX 5500/5500M / Pro 5500M] |
AMD | Navi 14 | 282,857 | 134,308 | 2.11 | 11 hrs 24 mins |
58 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 248,875 | 164,348 | 1.51 | 16 hrs 51 mins |
59 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 248,089 | 163,080 | 1.52 | 16 hrs 47 mins |
60 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 241,446 | 162,155 | 1.49 | 16 hrs 7 mins |
61 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 235,324 | 162,432 | 1.45 | 17 hrs 34 mins |
62 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 186,318 | 148,276 | 1.26 | 19 hrs 6 mins |
63 | Radeon HD 7800 Pitcairn [Radeon HD 7800] |
AMD | Pitcairn | 181,802 | 148,438 | 1.22 | 20 hrs 36 mins |
64 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 97,882 | 88,109 | 1.11 | 22 hrs 36 mins |
65 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 94,489 | 119,699 | 0.79 | 30 hrs 24 mins |
66 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 34,379 | 85,704 | 0.40 | 60 hrs 50 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Tuesday, 07 February 2023 12:14:59
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
---|