RESEARCH: COVID-19
FOLDING PROJECT #14562 PROFILE
PROJECT TEAM
Manager(s): Neha VithaniInstitution: Washington University in St. Louis
WORK UNIT INFO
Atoms: 371,771Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Scientists are working on a project to simulate the proteins of the COVID-19 virus. This could help researchers understand how the virus works and develop new treatments. For the latest updates, visit https://foldingathome.org/news/
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
CORONAVIRUS PROJECT Coronavirus SARS-CoV-2 (COVID-19 causing virus) proteins. These are high-priority projects to simulate the proteins of the COVID-19.
At the time of release, this is the latest news report: https://foldingathome.org/2020/03/10/covid19-update/ Please stay tuned to https://foldingathome.org/news/ for more current updates.
RELATED TERMS GLOSSARY AI BETA
Coronavirus
A type of virus that causes respiratory illnesses.
Coronaviruses are a large family of viruses that can cause illnesses ranging from the common cold to more severe diseases like SARS and MERS. The disease COVID-19 is caused by a novel coronavirus called SARS-CoV-2. These viruses spread through respiratory droplets and can infect humans and animals.
SARS-CoV-2
Severe Acute Respiratory Syndrome Coronavirus 2
SARS-CoV-2 is the virus that causes COVID-19. It's a type of coronavirus that was first identified in Wuhan, China in late 2019. The virus spreads through respiratory droplets and can cause serious illness, especially in older adults and people with underlying health conditions.
COVID-19
Coronavirus Disease 2019
COVID-19 is the infectious disease caused by the SARS-CoV-2 virus. It can cause a wide range of symptoms, from mild to severe, including fever, cough, shortness of breath, and loss of taste or smell. It has had a significant global impact, leading to widespread lockdowns, economic disruption, and millions of deaths.
Proteins
Large biomolecules essential for various bodily functions.
Proteins are the workhorses of cells, carrying out a vast array of functions. They are made up of chains of amino acids and play crucial roles in structure, metabolism, signaling, defense, and more. Understanding proteins is fundamental to many areas of biology and medicine.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:33:05|
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 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 6,712,171 | 242,705 | 27.66 | 0 hrs 52 mins |
| 2 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,778,291 | 216,245 | 22.10 | 1 hrs 5 mins |
| 3 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,798,054 | 180,764 | 15.48 | 1 hrs 33 mins |
| 4 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,283,565 | 165,909 | 13.76 | 1 hrs 45 mins |
| 5 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,078,360 | 165,304 | 12.57 | 1 hrs 55 mins |
| 6 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,025,309 | 163,647 | 12.38 | 1 hrs 56 mins |
| 7 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super] |
Nvidia | TU104 | 1,879,801 | 159,221 | 11.81 | 2 hrs 2 mins |
| 8 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,820,174 | 157,955 | 11.52 | 2 hrs 5 mins |
| 9 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,690,932 | 152,704 | 11.07 | 2 hrs 10 mins |
| 10 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,379,031 | 143,698 | 9.60 | 2 hrs 30 mins |
| 11 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,300,489 | 138,739 | 9.37 | 2 hrs 34 mins |
| 12 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,284,888 | 140,694 | 9.13 | 2 hrs 38 mins |
| 13 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,235,183 | 138,586 | 8.91 | 2 hrs 42 mins |
| 14 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,087,076 | 130,984 | 8.30 | 2 hrs 54 mins |
| 15 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,058,046 | 132,108 | 8.01 | 2 hrs 60 mins |
| 16 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 810,917 | 116,976 | 6.93 | 3 hrs 28 mins |
| 17 | Radeon R9 Fury X Fiji XT [Radeon R9 Fury X] |
AMD | Fiji XT | 710,114 | 114,933 | 6.18 | 3 hrs 53 mins |
| 18 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 701,174 | 115,022 | 6.10 | 3 hrs 56 mins |
| 19 | Radeon RX 5600/5600 XT - 5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT / 5700/5700 XT] |
AMD | Navi 10 | 686,000 | 108,572 | 6.32 | 3 hrs 48 mins |
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| 20 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 624,439 | 108,524 | 5.75 | 4 hrs 10 mins |
| 21 | Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series] |
AMD | Hawaii | 561,979 | 106,855 | 5.26 | 4 hrs 34 mins |
| 22 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 362,813 | 92,383 | 3.93 | 6 hrs 7 mins |
| 23 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 311,023 | 74,959 | 4.15 | 5 hrs 47 mins |
| 24 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 215,002 | 77,884 | 2.76 | 8 hrs 42 mins |
| 25 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 204,409 | 76,526 | 2.67 | 8 hrs 59 mins |
| 26 | Quadro K2200 GM107GL [Quadro K2200] |
Nvidia | GM107GL | 196,131 | 75,496 | 2.60 | 9 hrs 14 mins |
| 27 | Radeon HD 7800 Pitcairn [Radeon HD 7800] |
AMD | Pitcairn | 172,028 | 72,223 | 2.38 | 10 hrs 5 mins |
| 28 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 142,993 | 68,028 | 2.10 | 11 hrs 25 mins |
| 29 | Radeon HD 7790 Bonaire XT [Radeon HD 7790] |
AMD | Bonaire XT | 137,467 | 66,824 | 2.06 | 11 hrs 40 mins |
| 30 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 85,146 | 57,065 | 1.49 | 16 hrs 5 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:33:05|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|