RESEARCH: SIGNALING PROTEIN
FOLDING PROJECT #18908 PROFILE
PROJECT TEAM
Manager(s): Jiming ChenInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 37,892Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project explores how small changes (mutations) in proteins that send signals within our cells can drastically change how these signals work. These signaling proteins are crucial for many body functions and are often the target of medicines.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Impact of mutations on signaling proteins Mutations in proteins are often found to have dramatic functional consequences through changes in conformational dynamics, ligand binding, and association with signaling partners.
These changes sometimes lead to pathological outcomes.
Additionally, proteins involved in cell signaling are the target of over half of approved drugs.
This project aims to understand how a small number of mutations in signaling proteins can cause a dramatic change in how they modulate cell signaling pathways.
RELATED TERMS GLOSSARY AI BETA
mutations
Permanent alterations in the DNA sequence.
Mutations are changes in the DNA sequence that can alter gene function. They can be caused by various factors like errors during DNA replication or exposure to mutagens. Mutations can have diverse effects, ranging from harmless to detrimental, influencing protein structure and function.
signaling proteins
Proteins that transmit signals within cells and between cells.
Signaling proteins are essential for communication within and between cells. They receive signals, relay them through a cascade of interactions, and ultimately trigger specific cellular responses like growth, differentiation, or apoptosis. Disruptions in signaling pathways can contribute to various diseases.
conformational dynamics
Changes in the shape and structure of proteins.
Conformational dynamics refer to the constant movement and flexibility of protein structures. These changes are crucial for protein function, allowing them to interact with other molecules and carry out their roles. Alterations in conformational dynamics can affect protein stability and activity.
ligand binding
The interaction between a molecule (ligand) and a protein binding site.
Ligand binding is the process where a molecule, such as a drug or hormone, attaches to a specific site on a protein. This interaction can trigger changes in the protein's structure and function. Understanding ligand binding is essential for developing drugs and designing therapeutic interventions.
signaling pathways
Series of molecular events that transmit signals within cells.
Signaling pathways are complex networks of interconnected molecules that relay information from the cell surface to the nucleus, ultimately regulating gene expression and cellular responses. Dysregulation of signaling pathways can contribute to various diseases.
pathological outcomes
Abnormal or unhealthy conditions resulting from disease processes.
Pathological outcomes refer to the undesirable consequences of disease. They can involve cellular damage, tissue dysfunction, organ failure, and ultimately, death. Understanding pathological outcomes is crucial for developing effective treatments and improving patient care.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:26:57|
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 | 4,428,190 | 77,289 | 57.29 | 0 hrs 25 mins |
| 2 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 4,374,288 | 76,208 | 57.40 | 0 hrs 25 mins |
| 3 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 4,220,103 | 74,280 | 56.81 | 0 hrs 25 mins |
| 4 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 4,114,410 | 73,955 | 55.63 | 0 hrs 26 mins |
| 5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,963,476 | 75,078 | 52.79 | 0 hrs 27 mins |
| 6 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 3,593,969 | 72,306 | 49.70 | 0 hrs 29 mins |
| 7 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,399,153 | 70,613 | 48.14 | 0 hrs 30 mins |
| 8 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,257,404 | 70,048 | 46.50 | 0 hrs 31 mins |
| 9 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,249,355 | 70,009 | 46.41 | 0 hrs 31 mins |
| 10 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,727,154 | 65,718 | 41.50 | 0 hrs 35 mins |
| 11 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 2,556,511 | 64,386 | 39.71 | 0 hrs 36 mins |
| 12 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,359,853 | 62,283 | 37.89 | 0 hrs 38 mins |
| 13 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,146,739 | 61,247 | 35.05 | 0 hrs 41 mins |
| 14 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,128,855 | 61,629 | 34.54 | 0 hrs 42 mins |
| 15 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,119,149 | 60,587 | 34.98 | 0 hrs 41 mins |
| 16 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 1,983,150 | 60,507 | 32.78 | 0 hrs 44 mins |
| 17 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,811,423 | 57,487 | 31.51 | 0 hrs 46 mins |
| 18 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,781,569 | 53,366 | 33.38 | 0 hrs 43 mins |
| 19 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 1,722,352 | 56,673 | 30.39 | 0 hrs 47 mins |
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| 20 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,680,834 | 56,395 | 29.80 | 0 hrs 48 mins |
| 21 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 1,537,344 | 54,063 | 28.44 | 0 hrs 51 mins |
| 22 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,508,580 | 54,473 | 27.69 | 0 hrs 52 mins |
| 23 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 1,377,568 | 52,905 | 26.04 | 0 hrs 55 mins |
| 24 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,271,345 | 51,074 | 24.89 | 0 hrs 58 mins |
| 25 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,225,312 | 50,669 | 24.18 | 0 hrs 60 mins |
| 26 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,136,420 | 49,615 | 22.90 | 1 hrs 3 mins |
| 27 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,112,751 | 48,990 | 22.71 | 1 hrs 3 mins |
| 28 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 987,611 | 46,197 | 21.38 | 1 hrs 7 mins |
| 29 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 985,561 | 47,588 | 20.71 | 1 hrs 10 mins |
| 30 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 964,040 | 46,452 | 20.75 | 1 hrs 9 mins |
| 31 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 939,351 | 46,904 | 20.03 | 1 hrs 12 mins |
| 32 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 788,315 | 43,748 | 18.02 | 1 hrs 20 mins |
| 33 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 767,467 | 43,718 | 17.55 | 1 hrs 22 mins |
| 34 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 709,319 | 43,185 | 16.43 | 1 hrs 28 mins |
| 35 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 604,825 | 39,952 | 15.14 | 1 hrs 35 mins |
| 36 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 599,378 | 40,533 | 14.79 | 1 hrs 37 mins |
| 37 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 591,209 | 39,782 | 14.86 | 1 hrs 37 mins |
| 38 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 332,165 | 32,555 | 10.20 | 2 hrs 21 mins |
| 39 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 286,583 | 31,689 | 9.04 | 2 hrs 39 mins |
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| 40 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 224,328 | 29,259 | 7.67 | 3 hrs 8 mins |
| 41 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 203,369 | 27,811 | 7.31 | 3 hrs 17 mins |
| 42 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 148,000 | 20,391 | 7.26 | 3 hrs 18 mins |
| 43 | Quadro M2000 GM206GL [Quadro M2000] |
Nvidia | GM206GL | 142,355 | 24,824 | 5.73 | 4 hrs 11 mins |
| 44 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 97,950 | 21,801 | 4.49 | 5 hrs 21 mins |
| 45 | Quadro K620 GM107GL [Quadro K620] |
Nvidia | GM107GL | 50,114 | 17,348 | 2.89 | 8 hrs 18 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:26:57|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|