Folding project #16572, LIQUID-PHASE-SEPARATION research

Research section Research projects and references

Project #16572 overview

Project Summary AI Beta

This project simulates how liquid droplets inside cells change when different molecules like peptides (ADMA, ARG, LYS) and RNA are added. It explores how these changes affect the formation and structure of these droplets at various concentrations.

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: 460,680
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.

Phase separation

The process of separating different components of a solution based on their solubility.

Scientific: BiotechnologyBiochemistry / Molecular biology

Phase separation is a natural process where molecules in a mixture tend to separate into distinct regions due to differences in their properties like solubility. This can happen in biological systems, leading to the formation of compartments within cells.

Condensate

A concentrated mixture of molecules that forms a distinct phase within a solution.

Scientific: BiotechnologyBiochemistry / Molecular biology

In biochemistry, a condensate is a dense region formed by the aggregation of molecules within a cell. These compartments can play important roles in regulating cellular processes.

Peptide

A short chain of amino acids linked together.

Scientific: PharmaceuticalBiochemistry / Molecular biology

Peptides are chains of amino acids, the building blocks of proteins. They can have diverse functions in biological systems, including acting as hormones, neurotransmitters, and structural components.

ADMA

Asymmetric dimethylarginine

Acronym: PharmaceuticalBiochemistry / Molecular biology

ADMA is a naturally occurring amino acid derivative that can inhibit the activity of nitric oxide synthase, an enzyme involved in vasodilation.

ARG

Arginine

Acronym: PharmaceuticalBiochemistry / Molecular biology

Arginine is an amino acid that plays a role in various biological processes, including protein synthesis and the production of nitric oxide.

LYS

Lysine

Acronym: PharmaceuticalBiochemistry / Molecular biology

Lysine is an essential amino acid that plays a role in protein synthesis, tissue repair, and the absorption of calcium.

RNA

Ribonucleic acid

Scientific: PharmaceuticalBiochemistry / Molecular biology

RNA is a type of nucleic acid that plays a crucial role in protein synthesis. It carries genetic information from DNA to ribosomes, where proteins are made.

mM

millimolar

Acronym: PharmaceuticalChemistry / Biochemistry

mM is a unit of concentration that represents the number of moles of solute per liter of solution. It's commonly used in chemistry and biochemistry to express the amount of substances dissolved in solutions.

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	26,833,773	1,359,446	19.74	1 ^hrs 13 ^mins
2	GeForce RTX 4080 AD103 [GeForce RTX 4080]	Nvidia	AD103	18,341,974	1,201,588	15.26	1 ^hrs 34 ^mins
3	GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti]	Nvidia	AD104	15,301,949	1,096,334	13.96	1 ^hrs 43 ^mins
4	GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti]	Nvidia	GA102	10,065,121	965,459	10.43	2 ^hrs 18 ^mins
5	GeForce RTX 3090 GA102 [GeForce RTX 3090]	Nvidia	GA102	9,615,587	968,254	9.93	2 ^hrs 25 ^mins
6	GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti]	Nvidia	GA102	9,325,467	954,585	9.77	2 ^hrs 27 ^mins
7	GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB]	Nvidia	GA102	8,854,395	937,557	9.44	2 ^hrs 32 ^mins
8	GeForce RTX 4070 AD104 [GeForce RTX 4070]	Nvidia	AD104	8,180,904	906,436	9.03	2 ^hrs 40 ^mins
9	GeForce RTX 3080 GA102 [GeForce RTX 3080]	Nvidia	GA102	8,060,150	905,400	8.90	2 ^hrs 42 ^mins
10	GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate]	Nvidia	GA102	7,881,010	911,288	8.65	2 ^hrs 47 ^mins
11	GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448	Nvidia	TU102	6,317,567	841,417	7.51	3 ^hrs 12 ^mins
12	GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti]	Nvidia	GA104	6,099,731	837,746	7.28	3 ^hrs 18 ^mins
13	GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448	Nvidia	TU102	5,824,984	828,354	7.03	3 ^hrs 25 ^mins
14	GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate]	Nvidia	GA104	4,718,674	767,730	6.15	3 ^hrs 54 ^mins
15	Radeon RX 7900XT/XTX Navi 31 [Radeon RX 7900XT/XTX]	AMD	Navi 31	4,584,667	762,748	6.01	3 ^hrs 60 ^mins
16	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	4,456,623	754,534	5.91	4 ^hrs 4 ^mins
17	GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti]	Nvidia	GA104	3,898,766	698,144	5.58	4 ^hrs 18 ^mins
18	Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT]	AMD	Navi 21	3,836,455	715,797	5.36	4 ^hrs 29 ^mins
19	GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A]	Nvidia	TU106	3,794,682	712,038	5.33	4 ^hrs 30 ^mins

20	Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT]	AMD	Navi 21	3,666,657	558,396	6.57	3 ^hrs 39 ^mins
21	GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068	Nvidia	TU104	3,355,275	697,985	4.81	4 ^hrs 60 ^mins
22	GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate]	Nvidia	GA104	3,255,707	662,071	4.92	4 ^hrs 53 ^mins
23	RTX A4000 GA104GL [RTX A4000]	Nvidia	GA104GL	3,238,865	666,229	4.86	4 ^hrs 56 ^mins
24	GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER]	Nvidia	TU104	3,235,654	663,828	4.87	4 ^hrs 55 ^mins
25	GeForce RTX 2080 TU104 [GeForce RTX 2080]	Nvidia	TU104	3,196,232	665,909	4.80	5 ^hrs 0 ^mins
26	GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER]	Nvidia	TU106	2,917,116	653,518	4.46	5 ^hrs 23 ^mins
27	GeForce RTX 2070 TU106 [GeForce RTX 2070]	Nvidia	TU106	2,815,206	670,548	4.20	5 ^hrs 43 ^mins
28	TITAN Xp GP102 [TITAN Xp] 12150	Nvidia	GP102	2,803,871	642,835	4.36	5 ^hrs 30 ^mins
29	GeForce RTX 3060 GA106 [GeForce RTX 3060]	Nvidia	GA106	2,696,650	640,435	4.21	5 ^hrs 42 ^mins
30	Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT]	AMD	Navi 21	2,604,774	622,766	4.18	5 ^hrs 44 ^mins
31	GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate]	Nvidia	GA106	2,524,753	609,771	4.14	5 ^hrs 48 ^mins
32	GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380	Nvidia	GP102	2,277,241	568,147	4.01	5 ^hrs 59 ^mins
33	GeForce RTX 2060 TU106 [Geforce RTX 2060]	Nvidia	TU106	2,219,643	599,290	3.70	6 ^hrs 29 ^mins
34	GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti]	Nvidia	TU116	1,632,915	542,564	3.01	7 ^hrs 58 ^mins
35	GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q]	Nvidia	GA106M	1,510,085	575,378	2.62	9 ^hrs 9 ^mins
36	GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q]	Nvidia	GA104M	1,494,735	516,909	2.89	8 ^hrs 18 ^mins
37	GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873	Nvidia	GP104	1,483,787	501,861	2.96	8 ^hrs 7 ^mins
38	RTX A2000 GA106 [RTX A2000]	Nvidia	GA106	1,422,514	515,186	2.76	8 ^hrs 42 ^mins
39	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,396,806	509,360	2.74	8 ^hrs 45 ^mins

40	Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]	AMD	Navi 22 XT-XL	1,367,733	487,097	2.81	8 ^hrs 33 ^mins
41	GeForce GTX 1660 TU116 [GeForce GTX 1660]	Nvidia	TU116	1,236,648	488,092	2.53	9 ^hrs 28 ^mins
42	Radeon RX 6650XT Navi 23 [Radeon RX 6650XT]	AMD	Navi 23	1,184,896	484,235	2.45	9 ^hrs 48 ^mins
43	P104-100 GP104 [P104-100]	Nvidia	GP104	1,164,111	484,516	2.40	9 ^hrs 59 ^mins
44	GeForce GTX 960 GM206 [GeForce GTX 960] 2308	Nvidia	GM206	1,011,830	347,744	2.91	8 ^hrs 15 ^mins
45	GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632	Nvidia	GM200	1,009,199	447,867	2.25	10 ^hrs 39 ^mins
46	GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER]	Nvidia	TU116	976,364	455,898	2.14	11 ^hrs 12 ^mins
47	Quadro P4000 GP104GL [Quadro P4000]	Nvidia	GP104GL	961,506	459,003	2.09	11 ^hrs 27 ^mins
48	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	801,426	430,483	1.86	12 ^hrs 53 ^mins
49	Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64]	AMD	Vega 10 XL/XT	770,464	427,113	1.80	13 ^hrs 18 ^mins
50	GeForce GTX 980 GM204 [GeForce GTX 980] 4612	Nvidia	GM204	718,687	431,490	1.67	14 ^hrs 25 ^mins
51	GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile]	Nvidia	TU106M	678,540	334,589	2.03	11 ^hrs 50 ^mins
52	GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463	Nvidia	GP104	659,171	375,276	1.76	13 ^hrs 40 ^mins
53	GeForce GTX 1650 TU117 [GeForce GTX 1650]	Nvidia	TU117	625,232	401,424	1.56	15 ^hrs 25 ^mins
54	GeForce GTX 970 GM204 [GeForce GTX 970] 3494	Nvidia	GM204	613,190	381,652	1.61	14 ^hrs 56 ^mins
55	GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138	Nvidia	GP107	415,113	342,622	1.21	19 ^hrs 49 ^mins
56	P106-090 GP106 [P106-090]	Nvidia	GP106	337,990	319,297	1.06	22 ^hrs 40 ^mins
57	GeForce GTX 950 GM206 [GeForce GTX 950] 1572	Nvidia	GM206	284,744	302,504	0.94	25 ^hrs 30 ^mins
58	GeForce GTX 1050 Mobile GP107M [GeForce GTX 1050 Mobile]	Nvidia	GP107M	278,491	295,474	0.94	25 ^hrs 28 ^mins
59	Quadro P2200 GP106GL [Quadro P2200]	Nvidia	GP106GL	251,216	329,840	0.76	31 ^hrs 31 ^mins

60	Quadro P1000 GP107GL [Quadro P1000]	Nvidia	GP107GL	250,847	289,246	0.87	27 ^hrs 40 ^mins
61	GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862	Nvidia	GP107	176,674	275,917	0.64	37 ^hrs 29 ^mins
62	GeForce GT 1030 GP108 [GeForce GT 1030]	Nvidia	GP108	132,550	234,106	0.57	42 ^hrs 23 ^mins

Research: LIQUID-PHASE-SEPARATION Folding Project #16572

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 16572

GPU PPD Averages

Research: LIQUID-PHASE-SEPARATION Folding Project #16572

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages