Folding project #16571, LIQUID-PHASE-SEPARATION research

Research section Research projects and references

Project #16571 overview

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.

Automated summary; simplified and may not be fully accurate.

Project team

Manager(s): Prof. Xuhui Huang
Institution: Hong Kong University of Science and Technology

Work unit

Atoms: 460,676
Core: 0x22
Status: Public

Source material

Official 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.

Reading reference

Related Terms Glossary AI Beta

Automated high-level definitions; simplified and may not be fully accurate.

Liquid-liquid Phase separation

Separation of components based on their solubility in two immiscible liquids.

Scientific: BiotechnologyBiochemistry / Molecular Biology

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.

Scientific: BiotechnologyBiochemistry / Molecular Biology

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.

Scientific: Pharmacology, BiotechnologyBiochemistry / Protein Chemistry

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

Acronym: Pharmacology, BiotechnologyBiochemistry / Protein Chemistry

ADMA is a modified amino acid often used in research to study protein interactions and cellular processes.

ARG

Arginine

Acronym: Pharmacology, BiotechnologyBiochemistry / Protein Chemistry

ARG is an acronym for the amino acid arginine, which plays various roles in biological systems, including protein structure and signaling.

LYS

Lysine

Acronym: Pharmacology, BiotechnologyBiochemistry / Protein Chemistry

LYS represents the amino acid lysine, essential for protein synthesis and various cellular functions.

RNA

Ribonucleic acid

Scientific: Pharmacology, BiotechnologyBiochemistry / Molecular Biology

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

Acronym: Pharmacology, BiotechnologyChemistry / Biochemistry

mM stands for millimolar, a unit of concentration expressing the number of moles of a substance per liter of solution.

GPU PPD Averages

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

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

Research: LIQUID-PHASE-SEPARATION Folding Project #16571

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 16571

GPU PPD Averages

Research: LIQUID-PHASE-SEPARATION Folding Project #16571

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages