RESEARCH: COVID-19
FOLDING PROJECT #13444 PROFILE
PROJECT TEAM
Manager(s): Dr. John ChoderaInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 89,709Core: OPENMM_22
Status: Beta
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Scientists are using computer simulations to find new drugs against the COVID-19 virus. The top-scoring drug candidates will be made in a lab and tested. This project is open science, meaning anyone can see their progress and even help fund it. Learn more at covid.postera.ai
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
https://www.youtube.com/watch?v=VnyaAmM1nhEThese projects are rapid sprints of relative alchemical free energy calculations for prioritizing compound designs from chemists from the COVID Moonshot for synthesis.
Top-scoring molecules will be made and tested in a laboratory by the COVID Moonshot as it works to develop an open science patent-free inexpensive therapy for COVID-19 that shuts down the essential SARS-CoV-2 main viral protease.
The COVID Moonshot has already made and tested hundreds of compounds, and is pursuing several good lead series.
You can see their progress in real time here:
https://covid.postera.ai/covid/submissions/compounds
To learn more about what the Moonshot is and how it came about, you can read our blog post or watch this video.
In addition to helping us prioritize compounds, you can help us purchase more compounds for synthesis at cost from Enamine by sponsoring our GoFundMe page for patent-free open science COVID-19 drug discovery! This is a radical new approach to drug discovery that aims to rapidly produce inexpensive new therapies.
SARS-CoV-2 main viral potease (Mpro) with ligand bound, from the RCSB.
RELATED TERMS GLOSSARY AI BETA
COVID Moonshot
An initiative to rapidly develop open-source, inexpensive COVID-19 therapies.
The COVID Moonshot is a global collaboration focused on accelerating the development of effective and affordable treatments for COVID-19. It leverages open science principles and crowd-sourced research to identify promising drug candidates and make them freely accessible to researchers and healthcare providers worldwide.
SARS-CoV-2
The virus responsible for the disease COVID-19.
SARS-CoV-2 is a highly contagious coronavirus that causes the respiratory illness known as COVID-19. It spreads primarily through respiratory droplets released when an infected person coughs, sneezes, or talks. Symptoms can range from mild to severe and may include fever, cough, shortness of breath, fatigue, and loss of taste or smell.
Viral Protease
An enzyme produced by viruses that plays a crucial role in their replication.
Viral proteases are enzymes essential for the replication of many viruses. They cleave viral proteins into smaller units, allowing them to assemble and spread. Inhibiting these proteases can effectively block viral replication, making them important targets for antiviral drugs.
Mpro
Main viral protease
Mpro stands for Main Viral Protease. It's a critical enzyme produced by the SARS-CoV-2 virus that plays a vital role in its replication process.
Open Science
A movement promoting transparency and collaboration in scientific research.
Open Science advocates for making research data, methods, and results freely accessible to all. This promotes transparency, collaboration, and faster progress in scientific discovery.
Enamine
A chemical supplier that provides a wide range of compounds for research purposes.
Enamine is a company that specializes in providing researchers with access to a vast library of chemical compounds. They offer a diverse catalog of building blocks and intermediates essential for drug discovery and other scientific applications.
GoFundMe
A website that allows individuals to raise funds for various causes.
GoFundMe is an online platform where people can create fundraising campaigns to support personal projects, emergencies, or charitable endeavors. It connects individuals with potential donors who contribute to their goals.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:33:35|
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 | 5,449,476 | 284,408 | 19.16 | 1 hrs 15 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 5,048,664 | 279,208 | 18.08 | 1 hrs 20 mins |
| 3 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,374,392 | 266,746 | 16.40 | 1 hrs 28 mins |
| 4 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,609,435 | 250,710 | 14.40 | 1 hrs 40 mins |
| 5 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,215,297 | 239,326 | 13.43 | 1 hrs 47 mins |
| 6 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,004,082 | 237,175 | 12.67 | 1 hrs 54 mins |
| 7 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 2,990,094 | 233,820 | 12.79 | 1 hrs 53 mins |
| 8 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,775,310 | 228,906 | 12.12 | 1 hrs 59 mins |
| 9 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,661,158 | 226,992 | 11.72 | 2 hrs 3 mins |
| 10 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,652,926 | 226,485 | 11.71 | 2 hrs 3 mins |
| 11 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,580,971 | 221,453 | 11.65 | 2 hrs 4 mins |
| 12 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,306,931 | 216,126 | 10.67 | 2 hrs 15 mins |
| 13 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 2,294,877 | 214,837 | 10.68 | 2 hrs 15 mins |
| 14 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,247,427 | 211,693 | 10.62 | 2 hrs 16 mins |
| 15 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,019,381 | 204,809 | 9.86 | 2 hrs 26 mins |
| 16 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,949,934 | 200,952 | 9.70 | 2 hrs 28 mins |
| 17 | Radeon VII Vega 20 [Radeon VII] 13,284 |
AMD | Vega 20 | 1,936,300 | 202,623 | 9.56 | 2 hrs 31 mins |
| 18 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,805,640 | 199,080 | 9.07 | 2 hrs 39 mins |
| 19 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,690,090 | 194,693 | 8.68 | 2 hrs 46 mins |
|
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|||||||
| 20 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,625,822 | 192,635 | 8.44 | 2 hrs 51 mins |
| 21 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,507,011 | 186,070 | 8.10 | 2 hrs 58 mins |
| 22 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,422,873 | 184,581 | 7.71 | 3 hrs 7 mins |
| 23 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,360,951 | 180,502 | 7.54 | 3 hrs 11 mins |
| 24 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,308,641 | 177,925 | 7.36 | 3 hrs 16 mins |
| 25 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,157,932 | 152,141 | 7.61 | 3 hrs 9 mins |
| 26 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,138,440 | 168,961 | 6.74 | 3 hrs 34 mins |
| 27 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,079,568 | 167,204 | 6.46 | 3 hrs 43 mins |
| 28 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 984,842 | 162,604 | 6.06 | 3 hrs 58 mins |
| 29 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 933,733 | 156,268 | 5.98 | 4 hrs 1 mins |
| 30 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 862,991 | 154,057 | 5.60 | 4 hrs 17 mins |
| 31 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 774,913 | 150,328 | 5.15 | 4 hrs 39 mins |
| 32 | GeForce GTX 1070 GP104 [GeForce GTX 1070] |
Nvidia | GP104 | 740,057 | 147,831 | 5.01 | 4 hrs 48 mins |
| 33 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 721,024 | 143,275 | 5.03 | 4 hrs 46 mins |
| 34 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 650,930 | 138,804 | 4.69 | 5 hrs 7 mins |
| 35 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 641,899 | 140,912 | 4.56 | 5 hrs 16 mins |
| 36 | GeForce GTX 1650 Ti Mobile TU116M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU116M | 623,143 | 136,027 | 4.58 | 5 hrs 14 mins |
| 37 | Radeon RX 5500/5500M / Pro 5500M Navi 14 [Radeon RX 5500/5500M / Pro 5500M] |
AMD | Navi 14 | 555,975 | 134,479 | 4.13 | 5 hrs 48 mins |
| 38 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 551,699 | 134,229 | 4.11 | 5 hrs 50 mins |
| 39 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 536,873 | 133,113 | 4.03 | 5 hrs 57 mins |
|
|
|||||||
| 40 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 504,036 | 129,051 | 3.91 | 6 hrs 9 mins |
| 41 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 493,557 | 129,097 | 3.82 | 6 hrs 17 mins |
| 42 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 480,529 | 125,403 | 3.83 | 6 hrs 16 mins |
| 43 | Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series] |
AMD | Hawaii | 444,900 | 124,957 | 3.56 | 6 hrs 44 mins |
| 44 | Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series] |
AMD | Hawaii | 441,401 | 119,788 | 3.68 | 6 hrs 31 mins |
| 45 | Radeon R9 Fury X Fiji XT [Radeon R9 Fury X] |
AMD | Fiji XT | 419,626 | 120,047 | 3.50 | 6 hrs 52 mins |
| 46 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 334,759 | 113,704 | 2.94 | 8 hrs 9 mins |
| 47 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 329,352 | 113,069 | 2.91 | 8 hrs 14 mins |
| 48 | Radeon R9 200/300 Series Tonga [Radeon R9 200/300 Series] |
AMD | Tonga | 185,424 | 93,324 | 1.99 | 12 hrs 5 mins |
| 49 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 147,074 | 84,337 | 1.74 | 13 hrs 46 mins |
| 50 | Radeon R9 280/HD 7900/8950 Tahiti PRO [Radeon R9 280/HD 7900/8950] |
AMD | Tahiti PRO | 145,230 | 86,448 | 1.68 | 14 hrs 17 mins |
| 51 | Radeon RX Vega M XL [Radeon RX Vega M XL] |
AMD | Vega | 127,444 | 67,370 | 1.89 | 12 hrs 41 mins |
| 52 | Ryzen 4900HS mobile Renoir [Ryzen 4900HS mobile] |
AMD | Renoir | 65,241 | 61,502 | 1.06 | 22 hrs 37 mins |
| 53 | Radeon R7/R6 360 Series Bonaire [Radeon R7/R6 360 Series] |
AMD | Bonaire | 59,798 | 54,400 | 1.10 | 21 hrs 50 mins |
| 54 | Ryzen vega 8 mobile Raven [Ryzen vega 8 mobile] |
AMD | Raven | 46,476 | 54,400 | 0.85 | 28 hrs 6 mins |
| 55 | Radeon RX Vega gfx902 raven [Radeon RX Vega gfx902] |
AMD | raven | 41,133 | 54,400 | 0.76 | 31 hrs 44 mins |
| 56 | Radeon APU A4-6000 R2 Mullins [Radeon APU A4-6000 R2] |
AMD | Mullins | 6,923 | 54,400 | 0.13 | 188 hrs 35 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:33:35|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|