Folding project #16573, LIQUID-PHASE-SEPARATION research

Research section Research projects and references

Project #16573 overview

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.

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: 460,628
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

Process where molecules separate into different phases based on their properties.

Scientific: BiotechnologyBiochemistry / Molecular Biology

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.

Scientific: BiotechnologyBiochemistry / Molecular Biology

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.

Scientific: BiotechnologyBiochemistry / Molecular Biology

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

Acronym: BiotechnologyBiochemistry / Molecular Biology

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

Acronym: BiotechnologyBiochemistry / Molecular Biology

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

Acronym: BiotechnologyBiochemistry / Molecular Biology

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

Scientific: BiotechnologyBiochemistry / Molecular Biology

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.

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	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

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

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

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

Research: LIQUID-PHASE-SEPARATION Folding Project #16573

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 16573

GPU PPD Averages

Research: LIQUID-PHASE-SEPARATION Folding Project #16573

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages