RESEARCH: SIGNALING PROTEIN
FOLDING PROJECT #19232 PROFILE
PROJECT TEAM
Manager(s): Tanner DeanInstitution: University of Illinois
WORK UNIT INFO
Atoms: 57,201Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
The project relates to how tiny changes in signaling proteins (like a letter swap in their code) can cause BIG problems with cell communication. These errors are linked to diseases like diabetes and cancer, and understanding them helps us develop new medicines.
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
Permanent alterations in a DNA sequence at a single nucleotide.
Point-mutations are small changes to the DNA sequence that make up genes. These changes can affect how a gene is read and translated into a protein, sometimes leading to altered protein function.
Signaling proteins
Proteins that transmit signals within and between cells.
Signaling proteins are crucial for communication within and between cells. They receive, process, and transmit information in the form of chemical signals, regulating various cellular processes like growth, differentiation, and response to stimuli.
Conformational dynamics
The changes in shape of a molecule over time.
Conformational dynamics refer to the constant movement and flexibility of molecules like proteins. These changes in shape are essential for their function, allowing them to bind to other molecules and carry out their roles.
Ligand binding
The process of a molecule (ligand) attaching to a specific receptor site on another molecule.
Ligand binding is the key to many biological processes. It involves a specific molecule, called a ligand, attaching to a target molecule, often a protein, at a designated site. This interaction can trigger various cellular responses.
Signal transduction
The process of transmitting signals within and between cells.
Signal transduction is the intricate communication network within living organisms. It involves a series of steps where signals are received, processed, and relayed through different molecules, ultimately leading to specific cellular responses.
Diabetes
A metabolic disorder characterized by high blood sugar levels.
Diabetes is a chronic condition where the body struggles to regulate blood sugar levels. This can lead to various complications affecting different organs and systems.
Heart disease
A broad term encompassing various conditions affecting the heart.
Heart disease refers to a range of conditions impacting the structure and function of the heart. This can include coronary artery disease, heart failure, and arrhythmias.
Cancers
Uncontrolled growth and spread of abnormal cells.
Cancers are a group of diseases characterized by the uncontrolled growth and spread of abnormal cells. This can lead to tumor formation and damage to surrounding tissues and organs.
Drugs
Substances used to treat, prevent, or diagnose diseases.
Drugs are chemical compounds designed to interact with biological systems to produce specific effects. They can be used to treat a wide range of conditions, from infections to chronic diseases.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:25:35|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 3,556,974 | 149,364 | 23.81 | 1 hrs 0 mins |
| 2 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,574,582 | 128,849 | 19.98 | 1 hrs 12 mins |
| 3 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,559,724 | 133,484 | 19.18 | 1 hrs 15 mins |
| 4 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,476,315 | 132,506 | 18.69 | 1 hrs 17 mins |
| 5 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,290,073 | 129,512 | 17.68 | 1 hrs 21 mins |
| 6 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,266,313 | 128,526 | 17.63 | 1 hrs 22 mins |
| 7 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,973,106 | 122,279 | 16.14 | 1 hrs 29 mins |
| 8 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,808,034 | 119,148 | 15.17 | 1 hrs 35 mins |
| 9 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,560,923 | 113,483 | 13.75 | 1 hrs 45 mins |
| 10 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,431,068 | 109,621 | 13.05 | 1 hrs 50 mins |
| 11 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,411,569 | 78,203 | 18.05 | 1 hrs 20 mins |
| 12 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,351,555 | 107,640 | 12.56 | 1 hrs 55 mins |
| 13 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,304,703 | 25,150 | 51.88 | 0 hrs 28 mins |
| 14 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,198,827 | 103,459 | 11.59 | 2 hrs 4 mins |
| 15 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 1,117,526 | 101,029 | 11.06 | 2 hrs 10 mins |
| 16 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,104,128 | 101,045 | 10.93 | 2 hrs 12 mins |
| 17 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,031,589 | 97,639 | 10.57 | 2 hrs 16 mins |
| 18 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 918,482 | 95,606 | 9.61 | 2 hrs 30 mins |
| 19 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 792,290 | 89,976 | 8.81 | 2 hrs 44 mins |
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| 20 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 752,028 | 88,863 | 8.46 | 2 hrs 50 mins |
| 21 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 611,176 | 80,351 | 7.61 | 3 hrs 9 mins |
| 22 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 591,495 | 80,721 | 7.33 | 3 hrs 17 mins |
| 23 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 348,062 | 70,284 | 4.95 | 4 hrs 51 mins |
| 24 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 310,936 | 66,288 | 4.69 | 5 hrs 7 mins |
| 25 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 300,413 | 66,744 | 4.50 | 5 hrs 20 mins |
| 26 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 248,546 | 61,554 | 4.04 | 5 hrs 57 mins |
| 27 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 200,226 | 56,835 | 3.52 | 6 hrs 49 mins |
| 28 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 92,414 | 50,603 | 1.83 | 13 hrs 8 mins |
| 29 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 54,277 | 37,281 | 1.46 | 16 hrs 29 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:25:35|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|