RESEARCH: SIGNALING PROTEIN
FOLDING PROJECT #19231 PROFILE
PROJECT TEAM
Manager(s): Tanner DeanInstitution: University of Illinois
WORK UNIT INFO
Atoms: 46,274Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Point mutations in proteins can mess up how cells send signals to each other. This project looks at how even small changes in protein structure can have a big impact on cell signaling pathways, which are important for things like fighting disease and responding to our environment.
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 of a DNA sequence.
Point mutations are alterations in the DNA code at a single location. These changes can affect how genes are expressed and lead to variations in protein function. They play a crucial role in evolution, genetic disorders, and drug development.
signaling proteins
Proteins that transmit signals within or between cells.
Signaling proteins are crucial for cell communication. They receive and relay messages through a complex network of interactions, regulating processes like growth, differentiation, and immune responses. Dysregulation in signaling pathways can contribute to diseases such as cancer and diabetes.
conformational dynamics
Changes in the 3D shape of a protein.
Conformational dynamics refers to the constant movement and flexibility of proteins. These changes in shape are essential for protein function, allowing them to bind to other molecules, catalyze reactions, and transmit signals.
ligand binding
The process of a molecule (ligand) attaching to a protein.
Ligand binding is crucial for many biological processes. Ligands, such as hormones or drugs, can bind to specific proteins, triggering changes in their shape and function. This interaction plays a vital role in signal transduction, enzyme regulation, and drug action.
signal transduction
The process of transmitting signals within or between cells.
Signal transduction is a complex cascade of events that allows cells to receive, process, and respond to signals from their environment. These pathways involve proteins, enzymes, and second messengers, ultimately leading to changes in gene expression, metabolism, or cell behavior.
diabetes
A metabolic disorder characterized by high blood sugar levels.
Diabetes is a chronic condition that affects the body's ability to regulate blood sugar. It occurs when the pancreas doesn't produce enough insulin or when cells become resistant to its effects. This can lead to complications such as heart disease, nerve damage, and vision problems.
heart disease
A broad term encompassing various conditions affecting the heart.
Heart disease refers to a range of disorders that impact the heart's structure and function. Common types include coronary artery disease, heart failure, and arrhythmias. Risk factors include high blood pressure, smoking, diabetes, and obesity.
cancers
Uncontrolled growth and spread of abnormal cells.
Cancers are a group of diseases characterized by the uncontrolled proliferation of abnormal cells. They can arise in various parts of the body and often spread to other tissues, disrupting normal bodily functions. Treatment options include surgery, chemotherapy, radiation therapy, and immunotherapy.
drugs
Substances used to treat or prevent diseases.
Drugs are chemical compounds designed to interact with specific targets in the body, producing therapeutic effects. They can be administered orally, intravenously, or through other routes. Development and approval of new drugs involve rigorous testing and clinical trials.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:25:37|
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 | 3,271,485 | 120,301 | 27.19 | 0 hrs 53 mins |
| 2 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,648,276 | 108,321 | 24.45 | 0 hrs 59 mins |
| 3 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,447,289 | 109,295 | 22.39 | 1 hrs 4 mins |
| 4 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,383,473 | 107,624 | 22.15 | 1 hrs 5 mins |
| 5 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,321,902 | 107,521 | 21.59 | 1 hrs 7 mins |
| 6 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,199,943 | 105,145 | 20.92 | 1 hrs 9 mins |
| 7 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,039,329 | 101,894 | 20.01 | 1 hrs 12 mins |
| 8 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,818,150 | 98,919 | 18.38 | 1 hrs 18 mins |
| 9 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,785,262 | 98,449 | 18.13 | 1 hrs 19 mins |
| 10 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,512,024 | 67,708 | 22.33 | 1 hrs 4 mins |
| 11 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,469,347 | 91,865 | 15.99 | 1 hrs 30 mins |
| 12 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,440,299 | 91,143 | 15.80 | 1 hrs 31 mins |
| 13 | GeForce RTX 2070 Mobile TU106M [GeForce RTX 2070 Mobile] |
Nvidia | TU106M | 1,312,595 | 88,433 | 14.84 | 1 hrs 37 mins |
| 14 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,171,454 | 85,320 | 13.73 | 1 hrs 45 mins |
| 15 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,165,086 | 85,313 | 13.66 | 1 hrs 45 mins |
| 16 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 969,640 | 79,619 | 12.18 | 1 hrs 58 mins |
| 17 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 903,543 | 78,454 | 11.52 | 2 hrs 5 mins |
| 18 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 800,752 | 74,996 | 10.68 | 2 hrs 15 mins |
| 19 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 772,648 | 73,992 | 10.44 | 2 hrs 18 mins |
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| 20 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 708,866 | 72,366 | 9.80 | 2 hrs 27 mins |
| 21 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 637,626 | 68,341 | 9.33 | 2 hrs 34 mins |
| 22 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 571,976 | 21,024 | 27.21 | 0 hrs 53 mins |
| 23 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 339,588 | 57,087 | 5.95 | 4 hrs 2 mins |
| 24 | Quadro M4000 GM204GL [Quadro M4000] |
Nvidia | GM204GL | 296,485 | 53,943 | 5.50 | 4 hrs 22 mins |
| 25 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 289,805 | 53,323 | 5.43 | 4 hrs 25 mins |
| 26 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 246,217 | 50,851 | 4.84 | 4 hrs 57 mins |
| 27 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 149,154 | 42,773 | 3.49 | 6 hrs 53 mins |
| 28 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 94,837 | 41,209 | 2.30 | 10 hrs 26 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:25:37|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|