RESEARCH: COVID-19
FOLDING PROJECT #17318 PROFILE
PROJECT TEAM
Manager(s): Ivy ZhangInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 142,497Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how the SARS-CoV-2 virus binds to human cells. We're studying the proteins involved and how sugar molecules affect their shapes and interactions. This could help us understand how the virus works and develop new drugs to fight it.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
These projects involve the SARS-CoV-2 receptor binding domain (RBD) and its target receptor in humans, ACE2.
We are simulating these proteins alone and in complex with each other (and with and without glycosylation).
We will build Markov State Models using the Fah simulation data, which will help us identify the metastable states of each protein/protein complex.
Given these experiments, we hope to be able to explain the impact of glycosylation on RBD conformational dynamics as well as identify whether there are shifts in metastable states upon RBD:ACE2 binding.
Ultimately, the knowledge gained here will help infom drug design efforts. Note: 17313-6 replace 17307-9, as 17307-9 used a different, less stable integrator.
RELATED TERMS GLOSSARY AI BETA
SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2
SARS-CoV-2 is the virus responsible for causing COVID-19. It's a type of coronavirus that primarily affects the respiratory system. The virus spreads through respiratory droplets and can lead to a range of symptoms from mild to severe.
RBD
Receptor binding domain
The receptor binding domain (RBD) is a specific part of the SARS-CoV-2 spike protein. This region binds to the ACE2 receptor on human cells, allowing the virus to attach and enter.
ACE2
Angiotensin-converting enzyme 2
ACE2 is a protein found on the surface of many human cells, including those in the lungs and heart. It plays a role in regulating blood pressure and is also the receptor used by SARS-CoV-2 to enter cells.
Glycosylation
The addition of sugar molecules to proteins
Glycosylation is a common process in which sugar molecules are attached to proteins. This modification can affect protein folding, stability, and function. In the case of SARS-CoV-2, glycosylation of certain proteins may influence its ability to bind to ACE2.
Markov State Models
Mathematical models that describe the transitions between different states of a system
Markov State Models are computational tools used to simulate and understand complex biological systems. They can be used to predict protein folding pathways, identify metastable states, and explore the dynamics of interactions between molecules.
Metastable States
States that are stable for a relatively long time but can eventually transition to other states
Metastable states are temporary arrangements of molecules or atoms that exist for a certain period before changing to a more stable configuration. These states play a crucial role in biological processes such as protein folding and enzyme catalysis.
Drug Design
The process of designing and developing new drugs
Drug design is a complex multidisciplinary field that involves identifying potential drug targets, synthesizing and screening compounds, and optimizing their efficacy and safety. It plays a vital role in the development of new therapies for diseases.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:40:12|
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 | 6,209,570 | 227,201 | 27.33 | 0 hrs 53 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 5,062,378 | 212,354 | 23.84 | 1 hrs 0 mins |
| 3 | TITAN RTX TU102 [TITAN RTX] 16310 |
Nvidia | TU102 | 4,630,415 | 207,795 | 22.28 | 1 hrs 5 mins |
| 4 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,384,676 | 204,006 | 21.49 | 1 hrs 7 mins |
| 5 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 3,945,999 | 203,365 | 19.40 | 1 hrs 14 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,864,253 | 195,563 | 19.76 | 1 hrs 13 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,193,462 | 182,921 | 17.46 | 1 hrs 22 mins |
| 8 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,037,856 | 181,552 | 16.73 | 1 hrs 26 mins |
| 9 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 2,920,586 | 179,939 | 16.23 | 1 hrs 29 mins |
| 10 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,906,389 | 177,680 | 16.36 | 1 hrs 28 mins |
| 11 | GeForce RTX 2080 SUPER Mobile / Max-Q TU104M [GeForce RTX 2080 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 2,860,346 | 176,722 | 16.19 | 1 hrs 29 mins |
| 12 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,712,503 | 173,824 | 15.60 | 1 hrs 32 mins |
| 13 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,556,103 | 169,738 | 15.06 | 1 hrs 36 mins |
| 14 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,486,227 | 168,079 | 14.79 | 1 hrs 37 mins |
| 15 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,410,683 | 163,290 | 14.76 | 1 hrs 38 mins |
| 16 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,369,147 | 165,748 | 14.29 | 1 hrs 41 mins |
| 17 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,176,142 | 158,094 | 13.76 | 1 hrs 45 mins |
| 18 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,995,441 | 156,790 | 12.73 | 1 hrs 53 mins |
| 19 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,993,399 | 156,217 | 12.76 | 1 hrs 53 mins |
|
|
|||||||
| 20 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 1,944,488 | 148,991 | 13.05 | 1 hrs 50 mins |
| 21 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,680,379 | 148,640 | 11.31 | 2 hrs 7 mins |
| 22 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,629,264 | 146,480 | 11.12 | 2 hrs 9 mins |
| 23 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,607,068 | 142,875 | 11.25 | 2 hrs 8 mins |
| 24 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,408,337 | 139,875 | 10.07 | 2 hrs 23 mins |
| 25 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,371,724 | 138,779 | 9.88 | 2 hrs 26 mins |
| 26 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 1,347,307 | 137,894 | 9.77 | 2 hrs 27 mins |
| 27 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,266,346 | 132,471 | 9.56 | 2 hrs 31 mins |
| 28 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,253,529 | 134,668 | 9.31 | 2 hrs 35 mins |
| 29 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,126,929 | 127,327 | 8.85 | 2 hrs 43 mins |
| 30 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,096,509 | 127,723 | 8.59 | 2 hrs 48 mins |
| 31 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,089,992 | 128,104 | 8.51 | 2 hrs 49 mins |
| 32 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,059,662 | 126,052 | 8.41 | 2 hrs 51 mins |
| 33 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,055,530 | 123,829 | 8.52 | 2 hrs 49 mins |
| 34 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 926,780 | 121,750 | 7.61 | 3 hrs 9 mins |
| 35 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 884,535 | 120,111 | 7.36 | 3 hrs 16 mins |
| 36 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 705,671 | 111,402 | 6.33 | 3 hrs 47 mins |
| 37 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 660,200 | 107,711 | 6.13 | 3 hrs 55 mins |
| 38 | GeForce GTX 1070 GP104 [GeForce GTX 1070] |
Nvidia | GP104 | 636,366 | 106,759 | 5.96 | 4 hrs 2 mins |
| 39 | GeForce GTX 1650 Ti Mobile TU116M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU116M | 626,078 | 106,804 | 5.86 | 4 hrs 6 mins |
|
|
|||||||
| 40 | Radeon R9 Fury X Fiji XT [Radeon R9 Fury X] |
AMD | Fiji XT | 611,781 | 105,889 | 5.78 | 4 hrs 9 mins |
| 41 | Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series] |
AMD | Hawaii | 561,738 | 102,667 | 5.47 | 4 hrs 23 mins |
| 42 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 561,226 | 103,121 | 5.44 | 4 hrs 25 mins |
| 43 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 513,163 | 95,416 | 5.38 | 4 hrs 28 mins |
| 44 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 475,158 | 97,670 | 4.86 | 4 hrs 56 mins |
| 45 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 460,325 | 96,460 | 4.77 | 5 hrs 2 mins |
| 46 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 448,596 | 95,799 | 4.68 | 5 hrs 8 mins |
| 47 | Radeon RX 5500/5500M / Pro 5500M Navi 14 [Radeon RX 5500/5500M / Pro 5500M] |
AMD | Navi 14 | 442,239 | 91,127 | 4.85 | 4 hrs 57 mins |
| 48 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 435,943 | 94,626 | 4.61 | 5 hrs 13 mins |
| 49 | Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series] |
AMD | Hawaii | 425,067 | 93,691 | 4.54 | 5 hrs 17 mins |
| 50 | Radeon R9 280/HD 7900/8950 Tahiti PRO [Radeon R9 280/HD 7900/8950] |
AMD | Tahiti PRO | 301,333 | 83,778 | 3.60 | 6 hrs 40 mins |
| 51 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 286,792 | 82,196 | 3.49 | 6 hrs 53 mins |
| 52 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 281,803 | 81,960 | 3.44 | 6 hrs 59 mins |
| 53 | Radeon R9 200/300 Series Tonga [Radeon R9 200/300 Series] |
AMD | Tonga | 241,394 | 77,779 | 3.10 | 7 hrs 44 mins |
| 54 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 212,624 | 74,529 | 2.85 | 8 hrs 25 mins |
| 55 | Radeon HD 7800 Pitcairn [Radeon HD 7800] |
AMD | Pitcairn | 168,165 | 69,126 | 2.43 | 9 hrs 52 mins |
| 56 | Radeon RX Vega M XL [Radeon RX Vega M XL] |
AMD | Vega | 157,188 | 58,316 | 2.70 | 8 hrs 54 mins |
| 57 | Radeon R7/R6 360 Series Bonaire [Radeon R7/R6 360 Series] |
AMD | Bonaire | 70,766 | 47,120 | 1.50 | 15 hrs 59 mins |
| 58 | Radeon RX Vega gfx902 raven [Radeon RX Vega gfx902] |
AMD | raven | 55,859 | 43,762 | 1.28 | 18 hrs 48 mins |
| 59 | Ryzen vega 8 mobile Raven [Ryzen vega 8 mobile] |
AMD | Raven | 51,909 | 46,574 | 1.11 | 21 hrs 32 mins |
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|
|||||||
| 60 | Radeon APU A4-6000 R2 Mullins [Radeon APU A4-6000 R2] |
AMD | Mullins | 4,922 | 29,673 | 0.17 | 144 hrs 41 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:40:12|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|