RESEARCH: SIGNALING PROTEIN
FOLDING PROJECT #19234 PROFILE
PROJECT TEAM
Manager(s): Tanner DeanInstitution: University of Illinois
WORK UNIT INFO
Atoms: 174,143Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how small changes in signaling proteins (like typos) can mess up cell communication. These messed-up signals are linked to diseases like diabetes, heart problems, and cancer. Drugs often target these proteins, so understanding them is super important!
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
The impact of point-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 as signal transduction problems are involved in diabetes, heart disease, and many cancers.
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 point-mutants in signaling proteins can cause a dramatic change in how they modulate cell signaling pathways.
RELATED TERMS GLOSSARY AI BETA
Point-mutations
Changes in a single nucleotide within a DNA sequence.
Point-mutations are alterations in the DNA code that affect a single nucleotide. These changes can have varying consequences on protein function and are implicated in various diseases.
Signaling proteins
Proteins that transmit signals within or between cells.
Signaling proteins are essential for communication between cells. They relay information through a series of biochemical reactions, influencing processes like growth, development, and response to stimuli.
Conformational dynamics
The changes in shape of a protein over time.
Conformational dynamics refer to the flexibility and movements of proteins. These changes are crucial for their function, allowing them to bind to other molecules and carry out specific tasks.
Ligand binding
The interaction between a molecule (ligand) and a protein.
Ligand binding is the process where a molecule attaches to a specific site on a protein. This interaction can trigger various cellular responses, such as activating enzymes or altering gene expression.
Signal transduction
The process of transmitting signals within or between cells.
Signal transduction is a complex series of molecular events that relay information from the cell's environment to its interior. This process allows cells to respond to stimuli, regulate growth and development, and maintain homeostasis.
Diabetes
A metabolic disorder characterized by high blood sugar levels.
Diabetes is a chronic disease that affects how the body regulates blood sugar. This occurs due to problems with insulin production or its action, leading to elevated glucose levels in the bloodstream.
Heart disease
A broad term for conditions affecting the heart.
Heart disease encompasses a range of disorders that impact the structure and function of the heart. These include coronary artery disease, heart failure, and arrhythmias.
Cancers
Abnormal cell growth that can spread to other parts of the body.
Cancers are characterized by uncontrolled cell division and proliferation. This abnormal growth can lead to the formation of tumors and the spread of cancer cells throughout the body.
Drugs
Substances used to treat or prevent diseases.
Drugs are chemical compounds designed to interact with specific targets in the body to produce therapeutic effects. They are used to treat a wide range of conditions, from infections to chronic illnesses.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:25:32|
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 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 20,064,584 | 328,660 | 61.05 | 0 hrs 24 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 15,547,741 | 275,397 | 56.46 | 0 hrs 26 mins |
| 3 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 13,454,055 | 369,696 | 36.39 | 0 hrs 40 mins |
| 4 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 12,301,639 | 362,141 | 33.97 | 0 hrs 42 mins |
| 5 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 10,908,667 | 346,541 | 31.48 | 0 hrs 46 mins |
| 6 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 10,486,630 | 312,877 | 33.52 | 0 hrs 43 mins |
| 7 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,497,766 | 322,473 | 29.45 | 0 hrs 49 mins |
| 8 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,253,099 | 324,732 | 28.49 | 0 hrs 51 mins |
| 9 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 8,225,083 | 313,662 | 26.22 | 0 hrs 55 mins |
| 10 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 7,358,428 | 304,078 | 24.20 | 0 hrs 60 mins |
| 11 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 6,900,127 | 293,886 | 23.48 | 1 hrs 1 mins |
| 12 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 6,838,509 | 296,616 | 23.06 | 1 hrs 2 mins |
| 13 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,485,516 | 290,974 | 22.29 | 1 hrs 5 mins |
| 14 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 5,853,421 | 282,296 | 20.74 | 1 hrs 9 mins |
| 15 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,423,083 | 276,010 | 19.65 | 1 hrs 13 mins |
| 16 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,279,705 | 266,752 | 19.79 | 1 hrs 13 mins |
| 17 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,043,652 | 263,958 | 19.11 | 1 hrs 15 mins |
| 18 | L4 AD104GL [L4] |
Nvidia | AD104GL | 4,761,903 | 262,127 | 18.17 | 1 hrs 19 mins |
| 19 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 4,658,779 | 261,087 | 17.84 | 1 hrs 21 mins |
|
|
|||||||
| 20 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 4,287,766 | 101,889 | 42.08 | 0 hrs 34 mins |
| 21 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,257,824 | 252,825 | 16.84 | 1 hrs 26 mins |
| 22 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,816,196 | 244,309 | 15.62 | 1 hrs 32 mins |
| 23 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,425,762 | 235,525 | 14.55 | 1 hrs 39 mins |
| 24 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 2,873,899 | 220,963 | 13.01 | 1 hrs 51 mins |
| 25 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,765,489 | 69,740 | 39.65 | 0 hrs 36 mins |
| 26 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,669,708 | 217,242 | 12.29 | 1 hrs 57 mins |
| 27 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,632,827 | 214,444 | 12.28 | 1 hrs 57 mins |
| 28 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,615,974 | 215,765 | 12.12 | 1 hrs 59 mins |
| 29 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,575,358 | 212,145 | 12.14 | 1 hrs 59 mins |
| 30 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,552,831 | 213,758 | 11.94 | 2 hrs 1 mins |
| 31 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,549,975 | 210,160 | 12.13 | 1 hrs 59 mins |
| 32 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 2,509,990 | 86,793 | 28.92 | 0 hrs 50 mins |
| 33 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,391,291 | 210,013 | 11.39 | 2 hrs 6 mins |
| 34 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,383,261 | 209,216 | 11.39 | 2 hrs 6 mins |
| 35 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 2,228,241 | 205,110 | 10.86 | 2 hrs 13 mins |
| 36 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,002,651 | 199,104 | 10.06 | 2 hrs 23 mins |
| 37 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,632,606 | 184,859 | 8.83 | 2 hrs 43 mins |
| 38 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,574,042 | 182,491 | 8.63 | 2 hrs 47 mins |
| 39 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,419,821 | 176,170 | 8.06 | 2 hrs 59 mins |
|
|
|||||||
| 40 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,258,947 | 143,872 | 8.75 | 2 hrs 45 mins |
| 41 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,235,613 | 167,544 | 7.37 | 3 hrs 15 mins |
| 42 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,219,336 | 166,977 | 7.30 | 3 hrs 17 mins |
| 43 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,146,834 | 162,002 | 7.08 | 3 hrs 23 mins |
| 44 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,018,874 | 158,566 | 6.43 | 3 hrs 44 mins |
| 45 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 796,380 | 143,490 | 5.55 | 4 hrs 19 mins |
| 46 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 637,896 | 135,724 | 4.70 | 5 hrs 6 mins |
| 47 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 607,883 | 51,000 | 11.92 | 2 hrs 1 mins |
| 48 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 521,901 | 119,206 | 4.38 | 5 hrs 29 mins |
| 49 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 500,910 | 133,476 | 3.75 | 6 hrs 24 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:25:32|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|