RESEARCH: LIQUID-PHASE-SEPARATION
FOLDING PROJECT #16559 PROFILE
PROJECT TEAM
Manager(s): Prof. Xuhui HuangInstitution: Hong Kong University of Science and Technology
WORK UNIT INFO
Atoms: 441,704Core: 0xa9
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project simulates how liquids separate into different parts (like oil and water) when certain molecules are added. They're looking at how peptides (small proteins) and RNA affect these separations. They're testing different combinations of peptides and RNA to see how they change the separation process. The simulations explore different concentrations and types of molecules to understand how they influence liquid-liquid phase separation.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
16550: Liquid-liquid Phase separation simulation for condensate and added peptide ADMA 16551, 16560, 16568: Liquid-liquid Phase separation simulation for condensate and added peptide ADMA 16552, 16561, 16567: Liquid-liquid Phase separation simulation for condensate and added peptide ARG 16553, 16562, 16569: Liquid-liquid Phase separation simulation for condensate and added peptide LYS 16554: Liquid-liquid Phase separation simulation for condensate containing peptide ADMA and RNA 16555, 16577: Liquid-liquid Phase separation simulation for condensate containing peptide ARG and RNA 16556: Liquid-liquid Phase separation simulation for condensate containing peptide LYS and RNA 16557, 16563, 16575: Liquid-liquid Phase separation simulation for condensate containing peptide ADMA and RNA, concentration 3.7 mM 16558, 16564, 16566, 16574: Liquid-liquid Phase separation simulation for condensate containing peptide ARG and RNA, concentration 3.7 mM 16559, 16565, 16576: Liquid-liquid Phase separation simulation for condensate containing peptide LYS and RNA, concentration 3.7 mM 16570: Liquid-liquid Phase separation simulation for condensate containing 16 peptide ARG and 16 RNA molecules, concentration 7.4 mM 16571: Liquid-liquid Phase separation simulation for condensate containing 16 peptide ARG and 16 RNA molecules, concentration 7.4 mM with an additional peptide ADMA 16572: Liquid-liquid Phase separation simulation for condensate containing 16 peptide ARG and 16 RNA molecules, concentration 7.4 mM with an additional peptide ARG 16573: Liquid-liquid Phase separation simulation for condensate containing 16 peptide ARG and 16 RNA molecules, concentration 7.4 mM with an additional peptide LYS.
RELATED TERMS GLOSSARY AI BETA
Phase separation
Process where molecules separate into distinct phases.
Phase separation is a natural process where molecules like proteins or RNA clump together, forming separate areas within a solution. This can be important for many cellular processes, including how our bodies make and break down proteins.
Condensate
A concentrated, semi-solid state formed by phase separation.
Condensate is a special clump of molecules that forms when they get really crowded together in a solution. Think of it like tiny droplets forming within a bigger liquid. These condensates are important because they help organize cellular processes and can hold specific molecules needed for certain tasks.
Peptide
Short chain of amino acids linked together.
Peptides are like mini proteins. They're made up of a string of smaller building blocks called amino acids. Peptides can have many important jobs in the body, like carrying messages between cells or helping break down other molecules.
ADMA
Asymmetric dimethylarginine
ADMA is a molecule that can affect how our blood vessels work. Too much ADMA can be bad for your heart health.
ARG
Arginine
Arginine is an amino acid that's important for many bodily functions, including making proteins and helping blood vessels relax.
LYS
Lysine
Lysine is an amino acid that's important for making proteins and keeping our bones healthy.
RNA
Ribonucleic acid
RNA is a molecule that helps make proteins. It carries instructions from our DNA to the parts of our cells that build proteins.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:44:41|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:44:41|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | EPYC 7B12 64-CORE | 64 | 33,404 | 2,137,856 | AMD |
| 2 | RYZEN 9 7950X 16-CORE | 32 | 39,715 | 1,270,880 | AMD |
| 3 | RYZEN 7 7700X 8-CORE | 16 | 32,878 | 526,048 | AMD |
| 4 | RYZEN 7 5700G | 16 | 28,212 | 451,392 | AMD |
| 5 | RYZEN 7 5700X 8-CORE | 16 | 24,725 | 395,600 | AMD |
| 6 | RYZEN 5 5600X 6-CORE | 12 | 19,127 | 229,524 | AMD |
| 7 | CORE I7-5930K CPU @ 3.50GHZ | 12 | 11,104 | 133,248 | Intel |
| 8 | CORE I7-7700K CPU @ 4.20GHZ | 8 | 16,449 | 131,592 | Intel |
| 9 | CORE I9-8950HK CPU @ 2.90GHZ | 12 | 7,609 | 91,308 | Intel |
| 10 | CORE I3-6006U CPU @ 2.00GHZ | 4 | 3,501 | 14,004 | Intel |