Folding project #17913, PARKINSONS research

Research section Research projects and references

Project #17913 overview

Project Summary AI Beta

This project simulates how the serotonin transporter protein works. Serotonin affects mood, sleep, and appetite. Changes in this protein are linked to depression and Parkinson's disease. By studying these simulations, scientists hope to understand how mutations affect the protein and find new treatments for mental health disorders.

Automated summary; simplified and may not be fully accurate.

Project team

Manager(s): Matthew Chan
Institution: University of Illinois Urbana-Champaign

Work unit

Atoms: 83,598
Core: OPENMM_22
Status: Public

Source material

Official Project Description

These projects contains simulations of the serotonin transporter, the protein responsible for terminating neurotransmission in neurons.

The neurotransmitter serotonin regulates various functions in the body such as mood, behavior, appettite, and sleep, and is a major drug targets for antidepressants.

Malfunctions in the serotonin transporter have been assoicated with mental disorders including depression and Parkinson's.

Our goal in performing these simulations is to understand how mutations affect the structure and dynamics of the serotonin transporter and provide insights to treat psychatric disorders assoicated with these mutations.

Reading reference

Related Terms Glossary AI Beta

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

serotonin transporter

Protein responsible for terminating serotonin signaling in neurons.

Technical: BiotechnologyNeuroscience / Neurotransmission

The serotonin transporter is a protein found in the brain that helps regulate mood and behavior. It works by removing serotonin from the spaces between nerve cells (synapses), effectively stopping its signal. Problems with this transporter can contribute to mental health conditions like depression.

neurotransmitter

A chemical messenger that transmits signals across a synapse between neurons.

Scientific: Biotechnology, PharmacologyNeuroscience / Neurotransmission

Neurotransmitters are chemicals that allow nerve cells to communicate with each other. They travel across tiny gaps called synapses and trigger responses in receiving neurons. Examples include serotonin, dopamine, and acetylcholine.

serotonin

A neurotransmitter that regulates mood, sleep, appetite, and other functions.

Scientific: Biotechnology, PharmacologyNeuroscience / Neurotransmission

Serotonin is a brain chemical that plays a vital role in regulating mood, happiness, sleep, and appetite. Imbalances in serotonin levels can contribute to conditions like depression and anxiety.

antidepressants

Medications used to treat depression and other mental health disorders.

Technical: PharmaceuticalPharmacology / Mental Health

Antidepressants are a class of medications that help improve mood and manage symptoms of depression. They work by affecting the levels of certain neurotransmitters in the brain, such as serotonin and norepinephrine.

mutations

Permanent changes in the DNA sequence.

Scientific: BiotechnologyGenetics / Molecular Biology

Mutations are alterations in the genetic code (DNA). They can occur spontaneously or be induced by factors like radiation. Mutations can have various effects, ranging from being harmless to causing diseases.

psychatric disorders

Mental health conditions that affect mood, thinking, and behavior.

Technical: HealthcarePsychiatry / Mental Health

Psychiatric disorders encompass a wide range of mental health conditions that impact a person's emotional well-being, thoughts, and behaviors. These disorders can include depression, anxiety, bipolar disorder, schizophrenia, and others.

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 3090 Ti GA102 [GeForce RTX 3090 Ti]	Nvidia	GA102	9,187,296	329,526	27.88	0 ^hrs 52 ^mins
2	GeForce RTX 3090 GA102 [GeForce RTX 3090]	Nvidia	GA102	8,150,718	317,326	25.69	0 ^hrs 56 ^mins
3	GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate]	Nvidia	GA102	7,231,555	305,120	23.70	1 ^hrs 1 ^mins
4	GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti]	Nvidia	GA102	6,490,588	294,690	22.03	1 ^hrs 5 ^mins
5	GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448	Nvidia	TU102	4,823,570	264,906	18.21	1 ^hrs 19 ^mins
6	GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448	Nvidia	TU102	4,455,870	261,171	17.06	1 ^hrs 24 ^mins
7	RTX A5000 GA102GL [RTX A5000]	Nvidia	GA102GL	4,298,039	257,678	16.68	1 ^hrs 26 ^mins
8	GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate]	Nvidia	GA104	4,270,521	261,500	16.33	1 ^hrs 28 ^mins
9	GeForce RTX 3070 GA104 [GeForce RTX 3070]	Nvidia	GA104	3,895,980	248,745	15.66	1 ^hrs 32 ^mins
10	GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti]	Nvidia	GA104	3,668,534	230,566	15.91	1 ^hrs 31 ^mins
11	GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER]	Nvidia	TU104	3,312,349	235,177	14.08	1 ^hrs 42 ^mins
12	GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate]	Nvidia	GA104	2,896,092	224,769	12.88	1 ^hrs 52 ^mins
13	GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380	Nvidia	GP102	2,220,314	205,359	10.81	2 ^hrs 13 ^mins
14	GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]	Nvidia	GA104M	2,024,680	198,666	10.19	2 ^hrs 21 ^mins
15	GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER]	Nvidia	TU106	1,984,921	199,282	9.96	2 ^hrs 25 ^mins
16	GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218	Nvidia	TU104	1,890,941	208,977	9.05	2 ^hrs 39 ^mins
17	GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate]	Nvidia	GA106	1,611,822	183,940	8.76	2 ^hrs 44 ^mins
18	GeForce RTX 2070 TU106 [GeForce RTX 2070]	Nvidia	TU106	1,437,449	177,361	8.10	2 ^hrs 58 ^mins
19	GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873	Nvidia	GP104	1,374,314	172,718	7.96	3 ^hrs 1 ^mins

20	Geforce RTX 3050 GA106 [Geforce RTX 3050]	Nvidia	GA106	1,281,870	173,895	7.37	3 ^hrs 15 ^mins
21	GeForce RTX 2060 TU104 [GeForce RTX 2060]	Nvidia	TU104	1,209,808	145,728	8.30	2 ^hrs 53 ^mins
22	GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632	Nvidia	GM200	1,115,966	166,528	6.70	3 ^hrs 35 ^mins
23	GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463	Nvidia	GP104	1,070,218	159,513	6.71	3 ^hrs 35 ^mins
24	Tesla M40 GM200GL [Tesla M40] 6844	Nvidia	GM200GL	961,346	156,270	6.15	3 ^hrs 54 ^mins
25	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	911,475	147,193	6.19	3 ^hrs 53 ^mins
26	GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186	Nvidia	GP104	880,004	152,637	5.77	4 ^hrs 10 ^mins
27	GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372	Nvidia	GP106	645,648	137,469	4.70	5 ^hrs 7 ^mins
28	GeForce GTX 980 GM204 [GeForce GTX 980] 4612	Nvidia	GM204	623,497	135,351	4.61	5 ^hrs 13 ^mins
29	GeForce GTX 1650 TU117 [GeForce GTX 1650]	Nvidia	TU117	396,098	116,479	3.40	7 ^hrs 3 ^mins
30	P106-090 GP106 [P106-090]	Nvidia	GP106	261,765	101,958	2.57	9 ^hrs 21 ^mins
31	GeForce GTX 950 GM206 [GeForce GTX 950] 1572	Nvidia	GM206	203,050	93,748	2.17	11 ^hrs 5 ^mins
32	GeForce GT 1030 GP108 [GeForce GT 1030] 1127	Nvidia	GP108	91,424	71,564	1.28	18 ^hrs 47 ^mins
33	Quadro K620 GM107GL [Quadro K620]	Nvidia	GM107GL	53,828	53,724	1.00	23 ^hrs 57 ^mins
34	Quadro K1200 GM107GL [Quadro K1200]	Nvidia	GM107GL	43,953	52,037	0.84	28 ^hrs 25 ^mins

Research: PARKINSONS Folding Project #17913

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 17913

GPU PPD Averages

Research: PARKINSONS Folding Project #17913

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages