Folding project #12014, CANCER research

Research section Research projects and references

Project #12014 overview

Project Summary AI Beta

This project relates to Class A GPCRs, which are important proteins that control many bodily functions and are targeted by 35% of approved drugs. These 'molecular telephones' send signals within our cells, helping us understand how they work and create new treatments for diseases like cancer, diabetes, depression, and anxiety.

Automated summary; simplified and may not be fully accurate.

Project team

Manager(s): Prateek Bansal
Institution: University of Illinois Urbana-Champaign

Work unit

Atoms: 200,370
Core: 0x22
Status: Public

Source material

Official Project Description

Class A GPCRs: Class A GPCRs are pivotal drug targets in our body, as they are involved in regulating almost all homeostatic processes in the human body.

It is estimated that around 35% of all drugs currently approved by the FDA target one of these GPCRs.

These proteins act like 'molecular telephones' and transmit signals from outside the cell to inside the cell.

Here, we aim to study the process that underlies their action on our body.

This is integral for providing insights into the protein's function and design better and new drugs targeting cancer, diabetes, depression and anxiety.

Reading reference

Related Terms Glossary AI Beta

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

GPCR

G protein-coupled receptor

Technical: BiotechnologyPharmacology / Drug Targets

GPCRs are a large family of cell surface receptors that play a crucial role in transmitting signals from outside the cell to the inside. They are involved in various physiological processes and are targeted by many drugs.

Drug Targets

Specific molecules or pathways that are intended to be affected by drugs.

Technical: BiotechnologyPharmacology / Drug Discovery

Drug targets are the specific biological molecules, such as proteins or enzymes, that drugs aim to interact with and modulate. Identifying and understanding drug targets is essential for developing new therapies.

FDA

Food and Drug Administration

Acronym: HealthcareRegulatory / Pharmaceutical Approval

The FDA is a US government agency responsible for protecting public health by ensuring the safety, efficacy, and security of human and veterinary drugs, biological products, medical devices, our nation's food supply, cosmetics, and products that emit radiation.

Cancer

A group of diseases characterized by uncontrolled cell growth and spread.

Medical Condition: HealthcarePathology / Oncology

Cancer is a group of diseases where abnormal cells divide uncontrollably and can invade other tissues. It arises from genetic mutations that disrupt normal cell growth and death.

Diabetes

A metabolic disorder characterized by high blood sugar levels.

Medical Condition: HealthcarePathology / Endocrinology

Diabetes is a chronic condition where the body either doesn't produce enough insulin or can't effectively use the insulin it produces. This leads to elevated blood sugar levels, affecting various organs and tissues.

Depression

A mood disorder characterized by persistent feelings of sadness, hopelessness, and loss of interest.

Mental Health Condition: HealthcarePsychiatry / Mood Disorders

Depression is a common mental health condition marked by prolonged feelings of sadness, emptiness, and loss of interest in activities. It can significantly impact daily life and well-being.

Anxiety

A feeling of worry, nervousness, or unease.

Mental Health Condition: HealthcarePsychiatry / Anxiety Disorders

Anxiety is a common human emotion characterized by feelings of worry, fear, and apprehension. It can manifest in various ways, from mild nervousness to debilitating panic attacks.

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	19,510,627	417,144	46.77	0 ^hrs 31 ^mins
2	GeForce RTX 4080 AD103 [GeForce RTX 4080]	Nvidia	AD103	13,868,309	371,355	37.35	0 ^hrs 39 ^mins
3	GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti]	Nvidia	AD104	9,706,951	334,005	29.06	0 ^hrs 50 ^mins
4	GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti]	Nvidia	GA102	9,560,370	329,841	28.98	0 ^hrs 50 ^mins
5	GeForce RTX 3090 GA102 [GeForce RTX 3090]	Nvidia	GA102	9,507,600	328,815	28.91	0 ^hrs 50 ^mins
6	GeForce RTX 3080 GA102 [GeForce RTX 3080]	Nvidia	GA102	7,946,983	310,963	25.56	0 ^hrs 56 ^mins
7	GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate]	Nvidia	GA102	5,712,175	280,838	20.34	1 ^hrs 11 ^mins
8	GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti]	Nvidia	GA104	4,993,322	261,478	19.10	1 ^hrs 15 ^mins
9	GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti]	Nvidia	AD106	4,925,774	265,627	18.54	1 ^hrs 18 ^mins
10	GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate]	Nvidia	GA104	2,752,820	220,533	12.48	1 ^hrs 55 ^mins
11	Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT]	AMD	Navi 21	2,110,456	201,462	10.48	2 ^hrs 17 ^mins
12	GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER]	Nvidia	TU116	1,360,942	173,380	7.85	3 ^hrs 3 ^mins

Research: CANCER Folding Project #12014

Project Summary AI Beta

Project team

Work unit

Official Project Description

Hardware Performance for Project 12014

GPU PPD Averages

Research: CANCER Folding Project #12014

Project Summary AI Beta

Project team

Work unit

Related projects

GPU PPD Averages