RESEARCH: COVID-19
FOLDING PROJECT #17325 PROFILE
PROJECT TEAM
Manager(s): Ivy ZhangInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 143,492Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how the SARS-CoV-2 spike protein interacts with human cells. They're using computer simulations to see how these proteins move and change shape, especially when they're connected. This can help us understand how the virus works and design better 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 spreads easily between people through respiratory droplets. Understanding its structure and how it interacts with human cells is crucial for developing treatments and vaccines.
receptor binding domain (RBD)
Receptor Binding Domain
The RBD is a specific part of the SARS-CoV-2 spike protein that attaches to the ACE2 receptor on human cells. This binding is essential for the virus to enter and infect cells.
ACE2
Angiotensin-converting enzyme 2
ACE2 is a protein found on the surface of many human cells. It's involved in regulating blood pressure and other bodily functions. The SARS-CoV-2 virus uses ACE2 as its entry point into human cells.
glycosylation
The process of attaching sugar molecules to proteins
Glycosylation is a common way that cells modify proteins. It can affect how proteins fold, interact with other molecules, and function. In the case of SARS-CoV-2, glycosylation of the RBD may influence how it binds to ACE2.
Markov State Models
Mathematical models used to simulate the dynamics of complex systems
Markov State Models are a powerful tool for studying how molecules move and change over time. They can be used to understand the behavior of proteins like RBD and ACE2, and to predict how drugs might interact with them.
metastable states
Temporary, stable configurations of a molecule
Proteins can exist in different states. Metastable states are like temporary resting points on the path between these states. Understanding how proteins shift between metastable states is important for understanding their function and how drugs might affect them.
drug design
The process of developing new drugs
Drug design involves identifying promising molecules that can interact with specific targets in the body (like proteins) to treat diseases. Understanding how RBD and ACE2 interact can help researchers design drugs that block this interaction and prevent viral infection.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:40:01|
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 | 6,001,867 | 234,418 | 25.60 | 0 hrs 56 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 5,430,827 | 227,478 | 23.87 | 1 hrs 0 mins |
| 3 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,282,830 | 210,227 | 20.37 | 1 hrs 11 mins |
| 4 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 4,216,214 | 208,899 | 20.18 | 1 hrs 11 mins |
| 5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,650,646 | 199,962 | 18.26 | 1 hrs 19 mins |
| 6 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,238,821 | 191,439 | 16.92 | 1 hrs 25 mins |
| 7 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,948,090 | 187,722 | 15.70 | 1 hrs 32 mins |
| 8 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,672,250 | 178,246 | 14.99 | 1 hrs 36 mins |
| 9 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,596,969 | 178,147 | 14.58 | 1 hrs 39 mins |
| 10 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,550,028 | 177,261 | 14.39 | 1 hrs 40 mins |
| 11 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,428,777 | 174,842 | 13.89 | 1 hrs 44 mins |
| 12 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,383,326 | 173,341 | 13.75 | 1 hrs 45 mins |
| 13 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,242,416 | 167,918 | 13.35 | 1 hrs 48 mins |
| 14 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,989,458 | 162,788 | 12.22 | 1 hrs 58 mins |
| 15 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,765,589 | 155,239 | 11.37 | 2 hrs 7 mins |
| 16 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,732,021 | 156,276 | 11.08 | 2 hrs 10 mins |
| 17 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,611,038 | 152,334 | 10.58 | 2 hrs 16 mins |
| 18 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,595,108 | 150,427 | 10.60 | 2 hrs 16 mins |
| 19 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,335,638 | 143,040 | 9.34 | 2 hrs 34 mins |
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|||||||
| 20 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,260,472 | 140,250 | 8.99 | 2 hrs 40 mins |
| 21 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,215,427 | 139,224 | 8.73 | 2 hrs 45 mins |
| 22 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,135,331 | 133,527 | 8.50 | 2 hrs 49 mins |
| 23 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,125,456 | 134,122 | 8.39 | 2 hrs 52 mins |
| 24 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 1,121,629 | 134,045 | 8.37 | 2 hrs 52 mins |
| 25 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,112,581 | 133,352 | 8.34 | 2 hrs 53 mins |
| 26 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,106,914 | 133,230 | 8.31 | 2 hrs 53 mins |
| 27 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,078,952 | 133,223 | 8.10 | 2 hrs 58 mins |
| 28 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 862,576 | 123,973 | 6.96 | 3 hrs 27 mins |
| 29 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 724,647 | 116,783 | 6.21 | 3 hrs 52 mins |
| 30 | Radeon R9 Fury X Fiji XT [Radeon R9 Fury X] |
AMD | Fiji XT | 674,896 | 111,621 | 6.05 | 3 hrs 58 mins |
| 31 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 647,925 | 112,587 | 5.75 | 4 hrs 10 mins |
| 32 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 645,475 | 112,660 | 5.73 | 4 hrs 11 mins |
| 33 | GeForce GTX 1070 GP104 [GeForce GTX 1070] |
Nvidia | GP104 | 640,727 | 112,467 | 5.70 | 4 hrs 13 mins |
| 34 | Radeon R9 200/300 Series Hawaii [Radeon R9 200/300 Series] |
AMD | Hawaii | 590,354 | 102,330 | 5.77 | 4 hrs 10 mins |
| 35 | Radeon RX 470/480/570/580/590 Ellesmere XT [Radeon RX 470/480/570/580/590] |
AMD | Ellesmere XT | 523,064 | 98,808 | 5.29 | 4 hrs 32 mins |
| 36 | Radeon R9 200/300X Series Hawaii [Radeon R9 200/300X Series] |
AMD | Hawaii | 465,632 | 100,550 | 4.63 | 5 hrs 11 mins |
| 37 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 458,606 | 100,239 | 4.58 | 5 hrs 15 mins |
| 38 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 445,328 | 83,091 | 5.36 | 4 hrs 29 mins |
| 39 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 435,240 | 98,695 | 4.41 | 5 hrs 27 mins |
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| 40 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 434,002 | 98,043 | 4.43 | 5 hrs 25 mins |
| 41 | Radeon R9 280/HD 7900/8950 Tahiti PRO [Radeon R9 280/HD 7900/8950] |
AMD | Tahiti PRO | 308,576 | 85,372 | 3.61 | 6 hrs 38 mins |
| 42 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 245,328 | 81,701 | 3.00 | 7 hrs 60 mins |
| 43 | Radeon RX Vega M XL [Radeon RX Vega M XL] |
AMD | Vega | 207,197 | 75,832 | 2.73 | 8 hrs 47 mins |
| 44 | Radeon HD 7800 Pitcairn [Radeon HD 7800] |
AMD | Pitcairn | 175,973 | 72,859 | 2.42 | 9 hrs 56 mins |
| 45 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 144,573 | 68,247 | 2.12 | 11 hrs 20 mins |
| 46 | Ryzen 4900HS mobile Renoir [Ryzen 4900HS mobile] |
AMD | Renoir | 69,665 | 53,315 | 1.31 | 18 hrs 22 mins |
| 47 | Ryzen vega 8 mobile Raven [Ryzen vega 8 mobile] |
AMD | Raven | 65,973 | 50,630 | 1.30 | 18 hrs 25 mins |
| 48 | Radeon APU A4-6000 R2 Mullins [Radeon APU A4-6000 R2] |
AMD | Mullins | 5,284 | 31,432 | 0.17 | 142 hrs 46 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:40:01|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|