PROJECT #18700 RESEARCH FOR CANCER
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
Von Hippel-Lindau (VHL) syndrome is a rare disease that causes tumors and cysts to develop and grow in the body.
These tumors usually are non-cancerous, but some, especially tumors that develop in the kidney and pancreas, may become cancerous.
VHL syndrome is caused by a mutation in the VHL gene, which decreases the VHL protein’s ability to act as an E3 ligase and ubiquitinate the α subunit of hypoxia-inducible factor (HIF), which decreases proteolysis of HIF proteins.
The elevated HIF levels are responsible for the hypervascularization in renal cell carcinoma associated with the VHL syndrome disease state.
This project investigates the design of heterobifunctional molecules, also known as PROteolysis TArgeting Chimeras (PROTACs), which can bind both the VHL and HIF2α and help regulate the degradation of HIF2α.
Experimental measurements can provide insights to the challenge of PROTAC optimization, but the design space is too large to test every potential molecule design.
Therefore, molecular dynamic simulations will be run on potential ligand candidates to reduce the amount of possible PROTAC hits and reduce the experiments necessary for validation.
Initially the warhead domain, the PROTAC’s binding domain to HIF2α, will be developed by running simulations using various different structures already bound to the protein and determining the stability of the bound state for each potential structure.
Then the linker region, the structure that connects the two binding domains, of the PROTAC will be developed by running simulations to determine the ternary structure for the VHL-PROTAC- HIF2α complex.
All the computed values of kon, koff, ΔH, ΔS, and ΔG use AMBER force fields for Protein-Protein and Protein-Ligand's interactions.
Roivant is using published PROTAC-bound ternary complexes, plus some data generated internally for the F@h projects, and all simulation data is being made publicly available..
PROJECT INFO
Manager(s): Rafal Wiewiora
Institution: Roivant Sciences (Silicon Therapeutics)
Project URL: roivant.com
PROJECT WORK UNIT SUMMARY
Atoms: 40,000
Core: OPENMM_22
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Monday, 20 March 2023 12:15:00
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 | 4,622,348 | 253,141 | 18.26 | 1 hrs 19 mins |
2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 4,369,637 | 249,299 | 17.53 | 1 hrs 22 mins |
3 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 4,146,472 | 246,151 | 16.85 | 1 hrs 25 mins |
4 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 3,941,505 | 239,582 | 16.45 | 1 hrs 28 mins |
5 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,676,476 | 238,127 | 15.44 | 2 hrs 33 mins |
6 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,242,785 | 228,923 | 14.17 | 2 hrs 42 mins |
7 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,235,180 | 223,961 | 14.45 | 2 hrs 40 mins |
8 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,194,717 | 227,178 | 14.06 | 2 hrs 42 mins |
9 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,920,007 | 218,949 | 13.34 | 2 hrs 48 mins |
10 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,726,463 | 217,738 | 12.52 | 2 hrs 55 mins |
11 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 2,525,990 | 211,221 | 11.96 | 2 hrs 0 mins |
12 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,414,516 | 203,585 | 11.86 | 2 hrs 1 mins |
13 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,345,256 | 205,569 | 11.41 | 2 hrs 6 mins |
14 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,337,726 | 196,363 | 11.91 | 2 hrs 1 mins |
15 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,322,981 | 204,846 | 11.34 | 2 hrs 7 mins |
16 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,294,879 | 203,371 | 11.28 | 2 hrs 8 mins |
17 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,212,022 | 201,549 | 10.98 | 2 hrs 11 mins |
18 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,185,273 | 191,904 | 11.39 | 2 hrs 6 mins |
19 | GeForce RTX 2070 SUPER Mobile / Max-Q TU104M [GeForce RTX 2070 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 2,182,284 | 199,776 | 10.92 | 2 hrs 12 mins |
20 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,825,016 | 188,411 | 9.69 | 2 hrs 29 mins |
21 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,821,339 | 188,962 | 9.64 | 2 hrs 29 mins |
22 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,761,271 | 186,781 | 9.43 | 3 hrs 33 mins |
23 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,689,639 | 183,939 | 9.19 | 3 hrs 37 mins |
24 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,590,856 | 178,329 | 8.92 | 3 hrs 41 mins |
25 | GeForce RTX 3070 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3070 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,534,910 | 177,518 | 8.65 | 3 hrs 47 mins |
26 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 1,375,026 | 172,391 | 7.98 | 3 hrs 1 mins |
27 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,354,002 | 164,442 | 8.23 | 3 hrs 55 mins |
28 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,333,121 | 170,289 | 7.83 | 3 hrs 4 mins |
29 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,322,976 | 170,197 | 7.77 | 3 hrs 5 mins |
30 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,267,102 | 167,337 | 7.57 | 3 hrs 10 mins |
31 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,202,167 | 159,817 | 7.52 | 3 hrs 11 mins |
32 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,134,809 | 160,196 | 7.08 | 3 hrs 23 mins |
33 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,124,386 | 160,775 | 6.99 | 3 hrs 26 mins |
34 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 1,120,804 | 160,416 | 6.99 | 3 hrs 26 mins |
35 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,086,021 | 158,381 | 6.86 | 4 hrs 30 mins |
36 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 971,425 | 152,255 | 6.38 | 4 hrs 46 mins |
37 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 927,996 | 144,616 | 6.42 | 4 hrs 44 mins |
38 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 875,541 | 148,688 | 5.89 | 4 hrs 5 mins |
39 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 855,284 | 136,670 | 6.26 | 4 hrs 50 mins |
40 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 831,572 | 144,370 | 5.76 | 4 hrs 10 mins |
41 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 779,985 | 142,429 | 5.48 | 4 hrs 23 mins |
42 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 648,273 | 132,744 | 4.88 | 5 hrs 55 mins |
43 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 525,465 | 124,524 | 4.22 | 6 hrs 41 mins |
44 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 522,667 | 121,178 | 4.31 | 6 hrs 34 mins |
45 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 517,167 | 124,649 | 4.15 | 6 hrs 47 mins |
46 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 423,600 | 111,439 | 3.80 | 6 hrs 19 mins |
47 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 409,488 | 115,183 | 3.56 | 7 hrs 45 mins |
48 | GeForce GTX 980M GM204 [GeForce GTX 980M] 3189 |
Nvidia | GM204 | 406,171 | 115,092 | 3.53 | 7 hrs 48 mins |
49 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 388,733 | 113,380 | 3.43 | 7 hrs 60 mins |
50 | T600 TU117GL [T600] |
Intel | TU117GL | 323,592 | 106,008 | 3.05 | 8 hrs 52 mins |
51 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 235,390 | 94,268 | 2.50 | 10 hrs 37 mins |
52 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 201,255 | 87,293 | 2.31 | 10 hrs 25 mins |
53 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 173,204 | 82,127 | 2.11 | 11 hrs 23 mins |
54 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 152,236 | 82,563 | 1.84 | 13 hrs 1 mins |
55 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 145,744 | 81,602 | 1.79 | 13 hrs 26 mins |
56 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 141,677 | 50,000 | 2.83 | 8 hrs 28 mins |
57 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 136,270 | 80,081 | 1.70 | 14 hrs 6 mins |
58 | GeForce GTX 680 GK104 [GeForce GTX 680] 3250 |
Nvidia | GK104 | 136,032 | 79,477 | 1.71 | 14 hrs 1 mins |
59 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 127,885 | 77,686 | 1.65 | 15 hrs 35 mins |
60 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 106,317 | 73,159 | 1.45 | 17 hrs 31 mins |
61 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 92,796 | 70,349 | 1.32 | 18 hrs 12 mins |
62 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 73,755 | 64,922 | 1.14 | 21 hrs 8 mins |
63 | GeForce GTX 660 GK106 [GeForce GTX 660] |
Nvidia | GK106 | 73,008 | 64,735 | 1.13 | 21 hrs 17 mins |
64 | GTX 650 Ti Boost GK106 [GTX 650 Ti Boost] |
Nvidia | GK106 | 49,431 | 50,000 | 0.99 | 24 hrs 17 mins |
65 | GeForce GT 730 GK208B [GeForce GT 730] 692.7 |
Nvidia | GK208B | 31,745 | 50,000 | 0.63 | 38 hrs 48 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Monday, 20 March 2023 12:15:00
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
---|