RESEARCH: COVID-19
FOLDING PROJECT #18488 PROFILE
PROJECT TEAM
Manager(s): Prof. Vincent VoelzInstitution: Temple University
WORK UNIT INFO
Atoms: 131,051Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
The project relates to using computer simulations to see how small molecules bind to a protein from the SARS-CoV-2 virus. This will help scientists design new drugs to fight COVID-19. The results will be compared to real lab experiments done as part of the COVID Moonshot initiative.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
In fragment-based drug discovery, high-throughput screening is used to identify a set of simple, low-affinity (milli-to-micromolar) molecular fragments that bind a protein target.
Information about the chemical and structural properties of the fragments are then used to inform the design of more potent binders.
Are molecular simulations of fragment binding up to the task of providing similarly accurate information? The recent availability of crystallographic fragment screening datasets, along with high-resolution structures of fragment-bound protein receptors, offers a unique opportunity to test this hypothesis.
In this project, we are simulating the binding of several small-molecule fragments to the SARS CoV-2 main protease dimer, the results of which we will compare to crystallographic fragment-screening data generated as part of the COVID Moonshot.
RELATED TERMS GLOSSARY AI BETA
fragment-based drug discovery
A method of drug design that involves identifying small molecules that bind to a target protein and then optimizing these fragments for potency.
Fragment-based drug discovery is a powerful technique used to develop new drugs. It starts by finding small molecules that weakly bind to a specific target protein. These fragments are then modified and improved until they become potent inhibitors of the target, leading to the development of new therapeutic agents.
high-throughput screening
A method for rapidly testing thousands of compounds against a biological target to identify potential drug candidates.
High-throughput screening (HTS) is a crucial technique in drug discovery. It involves testing a vast number of chemical compounds against a specific biological target, such as a protein or enzyme. This allows researchers to quickly identify promising drug candidates that interact with the target and have the desired effect.
molecular fragments
Small molecules that bind to a target protein but may not be potent inhibitors on their own.
Molecular fragments are small chemical building blocks that have the potential to interact with biological targets. In drug discovery, they serve as starting points for developing more potent and specific drugs. By identifying fragments that bind to a target protein, researchers can then modify and optimize these fragments to create more effective therapeutic agents.
protein target
A specific protein that is the intended target of a drug.
Protein targets are essential components in drug discovery. They are specific proteins involved in biological processes that can be modulated by drugs to achieve therapeutic effects. Identifying and understanding the structure and function of protein targets allows researchers to develop drugs that specifically interact with these targets, leading to the desired therapeutic outcome.
crystallographic fragment screening
A method for identifying fragments that bind to a protein target using X-ray crystallography.
Crystallographic fragment screening is a powerful technique used in drug discovery. It involves determining the three-dimensional structure of a protein bound to small molecule fragments. By analyzing these structures, researchers can identify fragments that interact with specific sites on the protein, providing valuable information for developing new drugs.
SARS CoV-2
Severe Acute Respiratory Syndrome Coronavirus 2
SARS-CoV-2 is the virus responsible for the disease COVID-19. It is a highly contagious respiratory virus that can cause severe illness and death. Researchers are actively working to develop vaccines and treatments for SARS-CoV-2.
main protease dimer
A key enzyme in the SARS-CoV-2 virus that is essential for viral replication.
The main protease dimer is a crucial enzyme found in the SARS-CoV-2 virus. It plays a vital role in viral replication by cleaving viral proteins into smaller functional units. Inhibiting this enzyme is a promising strategy for developing antiviral drugs against COVID-19.
COVID Moonshot
A global initiative to accelerate the development and deployment of vaccines, treatments, and diagnostics for COVID-19.
The COVID Moonshot is a large-scale collaborative effort aimed at rapidly developing and distributing solutions to combat the COVID-19 pandemic. It involves researchers, scientists, governments, and organizations from around the world working together to accelerate the development of vaccines, treatments, and diagnostic tools.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:28:11|
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 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 14,081,535 | 609,022 | 23.12 | 1 hrs 2 mins |
| 2 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 13,733,035 | 148,498 | 92.48 | 0 hrs 16 mins |
| 3 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 13,651,939 | 755,029 | 18.08 | 1 hrs 20 mins |
| 4 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 10,359,792 | 700,478 | 14.79 | 1 hrs 37 mins |
| 5 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 9,522,035 | 663,998 | 14.34 | 1 hrs 40 mins |
| 6 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 8,693,244 | 649,176 | 13.39 | 1 hrs 48 mins |
| 7 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 7,711,196 | 611,030 | 12.62 | 1 hrs 54 mins |
| 8 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,953,661 | 611,029 | 11.38 | 2 hrs 7 mins |
| 9 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 6,377,050 | 554,292 | 11.50 | 2 hrs 5 mins |
| 10 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 5,963,195 | 579,003 | 10.30 | 2 hrs 20 mins |
| 11 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,600,900 | 566,414 | 9.89 | 2 hrs 26 mins |
| 12 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 4,616,606 | 148,498 | 31.09 | 0 hrs 46 mins |
| 13 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,515,507 | 531,151 | 8.50 | 2 hrs 49 mins |
| 14 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,343,906 | 517,012 | 8.40 | 2 hrs 51 mins |
| 15 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,231,080 | 515,348 | 8.21 | 2 hrs 55 mins |
| 16 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,600,718 | 489,824 | 7.35 | 3 hrs 16 mins |
| 17 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,299,415 | 148,498 | 22.22 | 1 hrs 5 mins |
| 18 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 3,028,593 | 462,138 | 6.55 | 3 hrs 40 mins |
| 19 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 3,007,415 | 427,478 | 7.04 | 3 hrs 25 mins |
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|
|||||||
| 20 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,447,233 | 432,978 | 5.65 | 4 hrs 15 mins |
| 21 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,424,064 | 384,458 | 6.31 | 3 hrs 48 mins |
| 22 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,111,944 | 411,847 | 5.13 | 4 hrs 41 mins |
| 23 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,889,535 | 396,328 | 4.77 | 5 hrs 2 mins |
| 24 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,737,483 | 304,253 | 5.71 | 4 hrs 12 mins |
| 25 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,679,231 | 381,204 | 4.41 | 5 hrs 27 mins |
| 26 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,387,218 | 358,159 | 3.87 | 6 hrs 12 mins |
| 27 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,088,297 | 327,340 | 3.32 | 7 hrs 13 mins |
| 28 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 1,016,821 | 216,415 | 4.70 | 5 hrs 6 mins |
| 29 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 500,444 | 148,498 | 3.37 | 7 hrs 7 mins |
| 30 | RX 470/480/570/580/590 Ellesmere XT [RX 470/480/570/580/590] |
AMD | Ellesmere XT | 394,565 | 148,498 | 2.66 | 9 hrs 2 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:28:11|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|