RESEARCH: LIQUID-PHASE-SEPARATION
FOLDING PROJECT #16573 PROFILE
PROJECT TEAM
Manager(s): Prof. Xuhui HuangInstitution: Hong Kong University of Science and Technology
WORK UNIT INFO
Atoms: 460,628Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project simulates how tiny drops of liquid inside cells (called condensates) change when we add different proteins and RNA. They look at how these additions affect the shape and size of the drops, which is important for understanding cell processes like protein production.
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 different phases based on their properties.
Phase separation is a process where different types of molecules in a solution clump together and form distinct layers. This often happens because molecules with similar properties stick to each other more than they do to different types of molecules. It's important in many biological processes, like how proteins organize inside cells.
Condensate
A concentrated mixture of molecules, often formed through phase separation.
Condensate is a dense clump of molecules that form when they cluster together. Think of it like oil and water separating; the oil forms a separate layer because its molecules stick together more than they do with water. In cells, condensates help organize proteins and RNA to carry out specific tasks.
Peptide
A short chain of amino acids linked together.
Peptides are like little chains made of building blocks called amino acids. They're important because they can fold into specific shapes that allow them to do different jobs in the body. Some peptides act as hormones, others help fight infections, and some even help build tissues.
ADMA
Asymmetric Dimethylarginine
ADMA is a naturally occurring molecule that can affect blood vessel function. High levels of ADMA are associated with an increased risk of heart disease.
ARG
Arginine
Arginine is an amino acid that plays a role in many important processes in the body, including protein synthesis, wound healing, and immune function.
LYS
Lysine
Lysine is an essential amino acid that plays a role in protein synthesis, calcium absorption, and the production of hormones and enzymes.
RNA
Ribonucleic acid
RNA is a molecule that plays many crucial roles in the cell. It helps carry genetic information from DNA to ribosomes, where proteins are made. There are different types of RNA, each with a specific function.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:44:19|
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 | 27,314,467 | 1,385,745 | 19.71 | 1 hrs 13 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 19,326,569 | 1,243,210 | 15.55 | 1 hrs 33 mins |
| 3 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 15,317,214 | 1,109,209 | 13.81 | 1 hrs 44 mins |
| 4 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 10,944,877 | 1,025,070 | 10.68 | 2 hrs 15 mins |
| 5 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,962,591 | 992,062 | 10.04 | 2 hrs 23 mins |
| 6 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,676,861 | 987,823 | 9.80 | 2 hrs 27 mins |
| 7 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 9,138,030 | 965,722 | 9.46 | 2 hrs 32 mins |
| 8 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 8,549,377 | 947,765 | 9.02 | 2 hrs 40 mins |
| 9 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 8,520,369 | 924,870 | 9.21 | 2 hrs 36 mins |
| 10 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 7,870,207 | 921,796 | 8.54 | 2 hrs 49 mins |
| 11 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,401,309 | 860,670 | 7.44 | 3 hrs 14 mins |
| 12 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 6,255,462 | 857,685 | 7.29 | 3 hrs 17 mins |
| 13 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,882,038 | 842,063 | 6.99 | 3 hrs 26 mins |
| 14 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,981,324 | 796,184 | 6.26 | 3 hrs 50 mins |
| 15 | Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX] |
AMD | Navi 31 | 4,728,784 | 778,854 | 6.07 | 3 hrs 57 mins |
| 16 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,295,728 | 755,636 | 5.68 | 4 hrs 13 mins |
| 17 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 4,101,466 | 737,800 | 5.56 | 4 hrs 19 mins |
| 18 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,988,018 | 737,280 | 5.41 | 4 hrs 26 mins |
| 19 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,802,859 | 720,640 | 5.28 | 4 hrs 33 mins |
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|||||||
| 20 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,746,152 | 711,466 | 5.27 | 4 hrs 33 mins |
| 21 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,596,440 | 739,935 | 4.86 | 4 hrs 56 mins |
| 22 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,439,586 | 682,337 | 5.04 | 4 hrs 46 mins |
| 23 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,368,673 | 713,767 | 4.72 | 5 hrs 5 mins |
| 24 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 3,189,996 | 665,226 | 4.80 | 5 hrs 0 mins |
| 25 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 3,099,152 | 665,443 | 4.66 | 5 hrs 9 mins |
| 26 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 3,037,826 | 670,080 | 4.53 | 5 hrs 18 mins |
| 27 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,905,749 | 662,083 | 4.39 | 5 hrs 28 mins |
| 28 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,836,024 | 680,288 | 4.17 | 5 hrs 45 mins |
| 29 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,822,915 | 657,648 | 4.29 | 5 hrs 35 mins |
| 30 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,751,171 | 641,263 | 4.29 | 5 hrs 36 mins |
| 31 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,665,679 | 622,400 | 4.28 | 5 hrs 36 mins |
| 32 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,417,267 | 602,830 | 4.01 | 5 hrs 59 mins |
| 33 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,261,174 | 611,176 | 3.70 | 6 hrs 29 mins |
| 34 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,174,781 | 463,221 | 4.69 | 5 hrs 7 mins |
| 35 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,162,509 | 618,345 | 3.50 | 6 hrs 52 mins |
| 36 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,661,329 | 550,912 | 3.02 | 7 hrs 58 mins |
| 37 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,491,500 | 553,274 | 2.70 | 8 hrs 54 mins |
| 38 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,479,587 | 535,534 | 2.76 | 8 hrs 41 mins |
| 39 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,467,882 | 525,759 | 2.79 | 8 hrs 36 mins |
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|
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| 40 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,426,587 | 551,969 | 2.58 | 9 hrs 17 mins |
| 41 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,316,285 | 484,096 | 2.72 | 8 hrs 50 mins |
| 42 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,261,131 | 545,966 | 2.31 | 10 hrs 23 mins |
| 43 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,217,553 | 407,830 | 2.99 | 8 hrs 2 mins |
| 44 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,187,434 | 493,728 | 2.41 | 9 hrs 59 mins |
| 45 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,104,681 | 468,446 | 2.36 | 10 hrs 11 mins |
| 46 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,071,595 | 477,976 | 2.24 | 10 hrs 42 mins |
| 47 | Quadro P4000 GP104GL [Quadro P4000] |
Nvidia | GP104GL | 988,686 | 461,837 | 2.14 | 11 hrs 13 mins |
| 48 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 980,248 | 464,408 | 2.11 | 11 hrs 22 mins |
| 49 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 966,061 | 354,369 | 2.73 | 8 hrs 48 mins |
| 50 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 949,852 | 462,179 | 2.06 | 11 hrs 41 mins |
| 51 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 925,270 | 435,788 | 2.12 | 11 hrs 18 mins |
| 52 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 690,090 | 411,489 | 1.68 | 14 hrs 19 mins |
| 53 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 562,257 | 374,414 | 1.50 | 15 hrs 59 mins |
| 54 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 540,120 | 417,475 | 1.29 | 18 hrs 33 mins |
| 55 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 420,438 | 349,205 | 1.20 | 19 hrs 56 mins |
| 56 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 342,894 | 326,058 | 1.05 | 22 hrs 49 mins |
| 57 | GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile] |
Nvidia | GP107M | 293,284 | 308,367 | 0.95 | 25 hrs 14 mins |
| 58 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 291,575 | 309,167 | 0.94 | 25 hrs 27 mins |
| 59 | GeForce MX450 TU117M [GeForce MX450] |
Nvidia | TU117M | 257,435 | 294,997 | 0.87 | 27 hrs 30 mins |
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| 60 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 253,502 | 294,162 | 0.86 | 27 hrs 51 mins |
| 61 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 250,066 | 333,504 | 0.75 | 32 hrs 0 mins |
| 62 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 139,109 | 241,484 | 0.58 | 41 hrs 40 mins |
| 63 | Quadro P400 GP107GL [Quadro P400] |
Nvidia | GP107GL | 41,583 | 139,000 | 0.30 | 80 hrs 14 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:44:19|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|