RESEARCH: COVID-19
FOLDING PROJECT #17338 PROFILE
PROJECT TEAM
Manager(s): Ivy ZhangInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 257,382Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project studies how the SARS-CoV-2 virus attaches to human cells. Scientists are using computer simulations to see how the virus protein (RBD) and the human receptor (ACE2) interact, both alone and together. They're also looking at the effects of sugar molecules (glycosylation) on these interactions. This research could help scientists develop 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).
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. Understanding its structure and how it interacts with human cells is crucial for developing treatments and vaccines.
Receptor binding domain (RBD)
Region of the SARS-CoV-2 spike protein that binds to the ACE2 receptor.
The RBD is a crucial part of the SARS-CoV-2 virus. It's the part of the virus that attaches to human cells, allowing it to infect them. Scientists are studying the RBD to understand how the virus works and to develop treatments.
ACE2
Angiotensin-converting enzyme 2
ACE2 is a protein found on the surface of human cells. The SARS-CoV-2 virus uses ACE2 as a receptor to enter cells. Understanding ACE2 helps researchers develop treatments that block viral entry.
Glycosylation
The process of adding sugar molecules to proteins.
Glycosylation is a common process in cells that modifies proteins. It can affect how proteins function and interact with other molecules. In the case of viruses like SARS-CoV-2, glycosylation can influence their ability to bind to cells.
Markov State Models
Mathematical models used to simulate the dynamics of complex systems.
Markov State Models are a powerful tool for studying biological systems. They allow researchers to simulate how molecules move and interact over time. This helps us understand how proteins fold, how viruses infect cells, and more.
Metastable states
Transient, relatively stable configurations of a system.
Metastable states are temporary arrangements of molecules that are more stable than some states but less stable than the most stable state. Understanding metastable states helps us understand how systems like proteins transition between different shapes and functions.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:39:41|
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 | 6,535,154 | 255,438 | 25.58 | 0 hrs 56 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 5,325,694 | 240,352 | 22.16 | 1 hrs 5 mins |
| 3 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,492,199 | 228,191 | 19.69 | 1 hrs 13 mins |
| 4 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,245,393 | 223,841 | 18.97 | 1 hrs 16 mins |
| 5 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 3,826,391 | 215,931 | 17.72 | 1 hrs 21 mins |
| 6 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 3,498,954 | 195,697 | 17.88 | 1 hrs 21 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,027,552 | 198,672 | 15.24 | 1 hrs 34 mins |
| 8 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,894,354 | 196,903 | 14.70 | 1 hrs 38 mins |
| 9 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,792,294 | 194,828 | 14.33 | 1 hrs 40 mins |
| 10 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,757,994 | 193,777 | 14.23 | 1 hrs 41 mins |
| 11 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,740,185 | 193,636 | 14.15 | 1 hrs 42 mins |
| 12 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,330,525 | 180,010 | 12.95 | 1 hrs 51 mins |
| 13 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,123,216 | 177,711 | 11.95 | 2 hrs 1 mins |
| 14 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,051,960 | 174,308 | 11.77 | 2 hrs 2 mins |
| 15 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,028,579 | 162,141 | 12.51 | 1 hrs 55 mins |
| 16 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,948,275 | 172,667 | 11.28 | 2 hrs 8 mins |
| 17 | GeForce RTX 2080 SUPER Mobile / Max-Q TU104M [GeForce RTX 2080 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 1,932,924 | 172,869 | 11.18 | 2 hrs 9 mins |
| 18 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,737,758 | 166,151 | 10.46 | 2 hrs 18 mins |
| 19 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,648,126 | 163,572 | 10.08 | 2 hrs 23 mins |
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|||||||
| 20 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,580,314 | 160,592 | 9.84 | 2 hrs 26 mins |
| 21 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,323,695 | 152,163 | 8.70 | 2 hrs 46 mins |
| 22 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,253,222 | 149,566 | 8.38 | 2 hrs 52 mins |
| 23 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,189,228 | 146,566 | 8.11 | 2 hrs 57 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 | 1,133,265 | 141,892 | 7.99 | 3 hrs 0 mins |
| 25 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,124,630 | 143,000 | 7.86 | 3 hrs 3 mins |
| 26 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,075,557 | 142,086 | 7.57 | 3 hrs 10 mins |
| 27 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,046,791 | 140,178 | 7.47 | 3 hrs 13 mins |
| 28 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,019,909 | 139,453 | 7.31 | 3 hrs 17 mins |
| 29 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 884,128 | 132,949 | 6.65 | 3 hrs 37 mins |
| 30 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 881,486 | 132,962 | 6.63 | 3 hrs 37 mins |
| 31 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 873,561 | 132,935 | 6.57 | 3 hrs 39 mins |
| 32 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 784,754 | 127,608 | 6.15 | 3 hrs 54 mins |
| 33 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 600,378 | 115,558 | 5.20 | 4 hrs 37 mins |
| 34 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 570,808 | 115,114 | 4.96 | 4 hrs 50 mins |
| 35 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 457,611 | 106,988 | 4.28 | 5 hrs 37 mins |
| 36 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 420,288 | 103,767 | 4.05 | 5 hrs 56 mins |
| 37 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 398,045 | 80,256 | 4.96 | 4 hrs 50 mins |
| 38 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 284,537 | 91,272 | 3.12 | 7 hrs 42 mins |
| 39 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 243,459 | 70,451 | 3.46 | 6 hrs 57 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:39:41|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|