RESEARCH: LIQUID-PHASE-SEPARATION
FOLDING PROJECT #16571 PROFILE
PROJECT TEAM
Manager(s): Prof. Xuhui HuangInstitution: Hong Kong University of Science and Technology
WORK UNIT INFO
Atoms: 460,676Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project simulates how liquid droplets form in cells when adding different peptides (proteins) like ADMA, ARG, and LYS. It explores how these peptides interact with RNA molecules within these droplets at various concentrations. The simulations help understand how these droplets change and function differently depending on the types and amounts of molecules present.
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
Liquid-liquid Phase separation
Separation of components based on their solubility in two immiscible liquids.
Liquid-liquid phase separation is a process where molecules separate into distinct liquid phases based on their solubility. This phenomenon plays a crucial role in various cellular processes, including protein assembly and RNA localization.
Condensate
A concentrated mixture of molecules that forms a distinct phase.
In biological systems, condensates are dense, localized areas where molecules like proteins and RNA gather together. This aggregation is driven by interactions between the molecules and can facilitate various cellular functions.
Peptide
A short chain of amino acids linked together.
Peptides are chains of amino acids, the building blocks of proteins. They can have diverse functions, acting as signaling molecules, enzymes, or structural components.
ADMA
Aspartic acid methyl ester analogue
ADMA is a modified amino acid often used in research to study protein interactions and cellular processes.
ARG
Arginine
ARG is an acronym for the amino acid arginine, which plays various roles in biological systems, including protein structure and signaling.
LYS
Lysine
LYS represents the amino acid lysine, essential for protein synthesis and various cellular functions.
RNA
Ribonucleic acid
RNA is a nucleic acid essential for protein synthesis and various cellular processes. It plays diverse roles, including carrying genetic information and regulating gene expression.
mM
Millimolar
mM stands for millimolar, a unit of concentration expressing the number of moles of a substance per liter of solution.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:44:22|
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 | 26,850,239 | 1,349,940 | 19.89 | 1 hrs 12 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 18,548,306 | 1,196,929 | 15.50 | 1 hrs 33 mins |
| 3 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 15,357,175 | 1,078,892 | 14.23 | 1 hrs 41 mins |
| 4 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 10,300,139 | 993,523 | 10.37 | 2 hrs 19 mins |
| 5 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,719,166 | 967,405 | 10.05 | 2 hrs 23 mins |
| 6 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,189,645 | 950,047 | 9.67 | 2 hrs 29 mins |
| 7 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 8,809,060 | 933,244 | 9.44 | 2 hrs 33 mins |
| 8 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 8,292,424 | 902,921 | 9.18 | 2 hrs 37 mins |
| 9 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 7,763,687 | 883,962 | 8.78 | 2 hrs 44 mins |
| 10 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 7,699,687 | 891,576 | 8.64 | 2 hrs 47 mins |
| 11 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,368,012 | 842,288 | 7.56 | 3 hrs 10 mins |
| 12 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 6,064,226 | 832,511 | 7.28 | 3 hrs 18 mins |
| 13 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,474,223 | 806,754 | 6.79 | 3 hrs 32 mins |
| 14 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,832,192 | 767,487 | 6.30 | 3 hrs 49 mins |
| 15 | Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX] |
AMD | Navi 31 | 4,805,113 | 766,413 | 6.27 | 3 hrs 50 mins |
| 16 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,370,907 | 746,340 | 5.86 | 4 hrs 6 mins |
| 17 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 4,005,218 | 722,668 | 5.54 | 4 hrs 20 mins |
| 18 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 3,876,663 | 717,002 | 5.41 | 4 hrs 26 mins |
| 19 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,790,398 | 702,859 | 5.39 | 4 hrs 27 mins |
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|
|||||||
| 20 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,554,815 | 697,942 | 5.09 | 4 hrs 43 mins |
| 21 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 3,290,507 | 699,645 | 4.70 | 5 hrs 6 mins |
| 22 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 3,196,190 | 697,157 | 4.58 | 5 hrs 14 mins |
| 23 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 3,151,034 | 664,065 | 4.75 | 5 hrs 3 mins |
| 24 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,131,204 | 684,906 | 4.57 | 5 hrs 15 mins |
| 25 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 3,007,625 | 653,216 | 4.60 | 5 hrs 13 mins |
| 26 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,950,224 | 659,020 | 4.48 | 5 hrs 22 mins |
| 27 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,769,918 | 636,151 | 4.35 | 5 hrs 31 mins |
| 28 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,698,865 | 635,556 | 4.25 | 5 hrs 39 mins |
| 29 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 2,658,334 | 625,037 | 4.25 | 5 hrs 39 mins |
| 30 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,629,314 | 641,973 | 4.10 | 5 hrs 52 mins |
| 31 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,481,933 | 590,830 | 4.20 | 5 hrs 43 mins |
| 32 | Radeon VII Vega 20 [Radeon VII] |
AMD | Vega 20 | 2,442,789 | 613,588 | 3.98 | 6 hrs 2 mins |
| 33 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,385,652 | 577,374 | 4.13 | 5 hrs 49 mins |
| 34 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,178,029 | 578,565 | 3.76 | 6 hrs 23 mins |
| 35 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,617,549 | 576,772 | 2.80 | 8 hrs 33 mins |
| 36 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,615,378 | 536,524 | 3.01 | 7 hrs 58 mins |
| 37 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,586,667 | 548,500 | 2.89 | 8 hrs 18 mins |
| 38 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,425,474 | 517,296 | 2.76 | 8 hrs 43 mins |
| 39 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,401,249 | 508,314 | 2.76 | 8 hrs 42 mins |
|
|
|||||||
| 40 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,319,577 | 499,101 | 2.64 | 9 hrs 5 mins |
| 41 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,267,837 | 491,658 | 2.58 | 9 hrs 18 mins |
| 42 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,166,275 | 478,733 | 2.44 | 9 hrs 51 mins |
| 43 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,159,677 | 493,344 | 2.35 | 10 hrs 13 mins |
| 44 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,114,304 | 476,461 | 2.34 | 10 hrs 16 mins |
| 45 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 1,002,023 | 281,294 | 3.56 | 6 hrs 44 mins |
| 46 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 976,267 | 452,647 | 2.16 | 11 hrs 8 mins |
| 47 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 931,141 | 445,944 | 2.09 | 11 hrs 30 mins |
| 48 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 905,026 | 445,458 | 2.03 | 11 hrs 49 mins |
| 49 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 823,457 | 450,757 | 1.83 | 13 hrs 8 mins |
| 50 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 713,956 | 372,958 | 1.91 | 12 hrs 32 mins |
| 51 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 696,851 | 433,142 | 1.61 | 14 hrs 55 mins |
| 52 | GeForce GTX 1060 Mobile GP106M [GeForce GTX 1060 Mobile] |
Nvidia | GP106M | 526,017 | 367,135 | 1.43 | 16 hrs 45 mins |
| 53 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 401,274 | 337,221 | 1.19 | 20 hrs 10 mins |
| 54 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 333,057 | 316,885 | 1.05 | 22 hrs 50 mins |
| 55 | GeForce GTX 950 GM206 [GeForce GTX 950] 1572 |
Nvidia | GM206 | 277,145 | 299,657 | 0.92 | 25 hrs 57 mins |
| 56 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 234,763 | 328,752 | 0.71 | 33 hrs 37 mins |
| 57 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 190,697 | 279,910 | 0.68 | 35 hrs 14 mins |
| 58 | GeForce MX450 TU117M [GeForce MX450] |
Nvidia | TU117M | 190,238 | 259,403 | 0.73 | 32 hrs 44 mins |
| 59 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 131,295 | 232,306 | 0.57 | 42 hrs 28 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:44:22|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|