RESEARCH: SIGNALING PROTEIN
FOLDING PROJECT #18903 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
Mutations can seriously mess up how proteins send signals in our bodies, sometimes causing diseases. The project aims to figure out exactly how tiny changes in these signaling proteins can lead to big problems.
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
Mutation
A permanent alteration in the DNA sequence that makes up a gene.
Mutations are changes in the DNA code. They can be caused by errors during DNA replication or exposure to things like radiation. Mutations can have a wide range of effects, from being harmless to causing serious diseases. Many genetic disorders are caused by mutations.
Signaling Proteins
Proteins that transmit signals within and between cells.
Signaling proteins are essential for communication between cells. They relay messages about things like growth, development, and response to stimuli. When signaling proteins malfunction, it can lead to a variety of diseases.
Conformational Dynamics
The ways in which a protein's shape changes over time.
Conformational dynamics refer to the movement and flexibility of proteins. Proteins are constantly changing shape as they carry out their functions. These changes are important for how proteins interact with other molecules.
Ligand Binding
The process of a molecule (ligand) attaching to a protein.
Ligand binding is how proteins interact with other molecules. When a ligand binds to a protein, it can change the protein's shape or activity. This is important for many biological processes.
Signaling Pathways
Series of molecular interactions that transmit signals within a cell or between cells.
Signaling pathways are complex networks of molecules that relay information within and between cells. They control many important processes, such as growth, development, and immune response.
Drugs
Substances used to treat or prevent diseases.
Drugs are chemical compounds designed to interact with specific targets in the body to produce a therapeutic effect. 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 03:27:05|
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 | 4,881,383 | 79,916 | 61.08 | 0 hrs 24 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 3,324,033 | 70,151 | 47.38 | 0 hrs 30 mins |
| 3 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,113,531 | 68,469 | 45.47 | 0 hrs 32 mins |
| 4 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 3,072,043 | 67,608 | 45.44 | 0 hrs 32 mins |
| 5 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,812,831 | 66,425 | 42.35 | 0 hrs 34 mins |
| 6 | RTX A5000 GA102GL [RTX A5000] |
Nvidia | GA102GL | 2,528,240 | 64,376 | 39.27 | 0 hrs 37 mins |
| 7 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,194,872 | 68,763 | 31.92 | 0 hrs 45 mins |
| 8 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 2,094,565 | 60,607 | 34.56 | 0 hrs 42 mins |
| 9 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,181,256 | 47,384 | 24.93 | 0 hrs 58 mins |
| 10 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 846,914 | 44,320 | 19.11 | 1 hrs 15 mins |
| 11 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 437,814 | 35,978 | 12.17 | 1 hrs 58 mins |
| 12 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 316,126 | 31,739 | 9.96 | 2 hrs 25 mins |
| 13 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 206,828 | 27,010 | 7.66 | 3 hrs 8 mins |
| 14 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 90,492 | 21,136 | 4.28 | 5 hrs 36 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:27:05|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|