RESEARCH: COVID-19
FOLDING PROJECT #17346 PROFILE
PROJECT TEAM
Manager(s): Ivy ZhangInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 273,048Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project uses computer simulations to study how the SARS-CoV-2 virus attaches to human cells. They're looking at how sugar molecules on the virus affect its shape and how it binds to the ACE2 receptor. This information can help scientists design new drugs to fight COVID-19.
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. 17329-331 replace 17316-8 (change from rectangular to truncated octahedron box) 17332-5 replace 17325-8 (change from rectangular to truncated octahedron box) 17336-40 replace 17330, 32-35 (fix glycan stereoisomer) 17341-3 are repeats of 17336, 17337, and 17339 (RUN8), where each project has 5 RUNs starting from different equilibrated structures.
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 spreads through respiratory droplets and can lead to severe respiratory illness.
Receptor binding domain (RBD)
Receptor binding domain
The receptor binding domain (RBD) is a specific part of the SARS-CoV-2 spike protein. It's responsible for attaching to the ACE2 receptor on human cells, allowing the virus to infect them.
ACE2
Angiotensin-converting enzyme 2
ACE2 is a protein found on the surface of many human cells. The SARS-CoV-2 virus uses its RBD to bind to ACE2, allowing it to enter and infect the cell.
Glycosylation
The addition of sugar molecules to proteins
Glycosylation is a process where sugar molecules (glycans) are attached to proteins. This can change the protein's structure, function, and stability. In the case of SARS-CoV-2, glycosylation on the spike protein can affect 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 used in computational simulations to understand how complex systems, like proteins, change over time. They can help predict the most likely states a protein will be in and how it might transition between them.
Metastable States
States that a system can remain in for a long time but eventually transition to other states
Metastable states are like temporary resting points in a system's journey. A protein might spend a lot of time in a metastable state before changing into a different shape. Understanding these states can help us understand how proteins function and interact.
Drug Design
The process of designing and developing new medications
Drug design involves using knowledge about diseases and biological processes to create new molecules that can treat or prevent them. This often includes understanding how a drug interacts with its target (like a protein) and how it affects the body.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:39:29|
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 | 6,930,848 | 302,633 | 22.90 | 1 hrs 3 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 5,636,467 | 285,316 | 19.76 | 1 hrs 13 mins |
| 3 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 5,225,264 | 278,030 | 18.79 | 1 hrs 17 mins |
| 4 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,441,395 | 263,623 | 16.85 | 1 hrs 25 mins |
| 5 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 4,035,390 | 256,882 | 15.71 | 1 hrs 32 mins |
| 6 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 3,985,982 | 249,325 | 15.99 | 1 hrs 30 mins |
| 7 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,425,823 | 231,647 | 14.79 | 1 hrs 37 mins |
| 8 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,224,738 | 236,835 | 13.62 | 1 hrs 46 mins |
| 9 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,762,024 | 224,798 | 12.29 | 1 hrs 57 mins |
| 10 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,736,811 | 223,812 | 12.23 | 1 hrs 58 mins |
| 11 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,681,250 | 221,598 | 12.10 | 1 hrs 59 mins |
| 12 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,672,306 | 222,255 | 12.02 | 1 hrs 60 mins |
| 13 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,619,456 | 220,796 | 11.86 | 2 hrs 1 mins |
| 14 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,437,484 | 216,061 | 11.28 | 2 hrs 8 mins |
| 15 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,223,125 | 207,815 | 10.70 | 2 hrs 15 mins |
| 16 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,138,068 | 204,664 | 10.45 | 2 hrs 18 mins |
| 17 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 2,048,487 | 201,748 | 10.15 | 2 hrs 22 mins |
| 18 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,787,223 | 195,234 | 9.15 | 2 hrs 37 mins |
| 19 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,693,955 | 190,877 | 8.87 | 2 hrs 42 mins |
|
|
|||||||
| 20 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,656,301 | 189,913 | 8.72 | 2 hrs 45 mins |
| 21 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,642,357 | 187,713 | 8.75 | 2 hrs 45 mins |
| 22 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,384,601 | 175,791 | 7.88 | 3 hrs 3 mins |
| 23 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] 4608 |
Nvidia | TU106M | 1,285,836 | 172,635 | 7.45 | 3 hrs 13 mins |
| 24 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,275,499 | 172,771 | 7.38 | 3 hrs 15 mins |
| 25 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,253,197 | 172,408 | 7.27 | 3 hrs 18 mins |
| 26 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,231,032 | 168,451 | 7.31 | 3 hrs 17 mins |
| 27 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,197,265 | 163,748 | 7.31 | 3 hrs 17 mins |
| 28 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,181,273 | 168,230 | 7.02 | 3 hrs 25 mins |
| 29 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] 4550 |
Nvidia | TU106M | 1,073,703 | 155,540 | 6.90 | 3 hrs 29 mins |
| 30 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,058,246 | 162,238 | 6.52 | 3 hrs 41 mins |
| 31 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 1,022,532 | 162,020 | 6.31 | 3 hrs 48 mins |
| 32 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 924,250 | 155,620 | 5.94 | 4 hrs 2 mins |
| 33 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 904,213 | 155,187 | 5.83 | 4 hrs 7 mins |
| 34 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 884,811 | 154,395 | 5.73 | 4 hrs 11 mins |
| 35 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 723,769 | 142,555 | 5.08 | 4 hrs 44 mins |
| 36 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 679,152 | 141,360 | 4.80 | 4 hrs 60 mins |
| 37 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 568,625 | 133,255 | 4.27 | 5 hrs 37 mins |
| 38 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 564,481 | 132,742 | 4.25 | 5 hrs 39 mins |
| 39 | GeForce GTX 1650 Ti Mobile TU116M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU116M | 551,390 | 132,122 | 4.17 | 5 hrs 45 mins |
|
|
|||||||
| 40 | Radeon RX 5500/5500M / Pro 5500M Navi 14 [Radeon RX 5500/5500M / Pro 5500M] |
AMD | Navi 14 | 490,130 | 120,657 | 4.06 | 5 hrs 54 mins |
| 41 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 432,943 | 121,526 | 3.56 | 6 hrs 44 mins |
| 42 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 374,785 | 115,082 | 3.26 | 7 hrs 22 mins |
| 43 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 369,589 | 115,494 | 3.20 | 7 hrs 30 mins |
| 44 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 286,514 | 106,038 | 2.70 | 8 hrs 53 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:39:29|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|