RESEARCH: PROTEIN-BINDING-SIMULATIONS
FOLDING PROJECT #12270 PROFILE

PROJECT TEAM

Manager(s): Louis Smith
Institution: University of Pennsylvania

WORK UNIT INFO

Atoms: 73,137
Core: 0x23
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project uses computer simulations to study how proteins interact with drugs. They're focusing on a protein called Acetylcholinesterase, which is important for nerve function and is targeted by pesticides and some medicines. By simulating these interactions, they hope to improve drug discovery methods and develop new treatments.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

In this series of projects we are simulating proteins that are part of the DUD-E benchmark data set for protein-ligand interactions, using simulations initialized from Alpha Fold. Simulation methods to study protein-small molecule interactions are of critical importance to the early stages of drug discovery, but most methods have a poor balance of accuracy relative to cost.

Much of the development process for new compounds happens via screening large libraries of compounds for activity against target proteins believed to be relevant for a disease.

Lending focus to this search makes developing new molecules into drugs more economical and faster. In order to do this kind of methods development, good reference data that is widely available is essential.

A classic dataset for benchmarking structural methods attempting to predict protein-ligand interactions known as DUD-E has been widely used because it has diverse proteins, and each protein is bound to a fairly large collection (usually more than fifty) of small molecules for which the ability to bind the receptor have been measured experimentally.

Using Folding@Home, we will create large reference quality simulations of these proteins.

Because we know how such simulations, and the binding methods we or others may test on them, should look and function we have a great yardstick for improving the methods we have and developing new ones. In this project series we have the following systems, many of which are known for their medical relevance in addition to having been extensively studied with both simulation and experiment in the past. 12234 - ACES: Acetylcholinesterase that is critical to nervous system function in animals.

It is the target of pesticides, and also numerous drugs.

If targeted in the correct way, it can reduce neural swelling.

This sequence happens to be from the Pacific Electric ray, Torpedo Californica, which was a landmark discovery in biomedical efforts to isolate neurotransmitter receptors and led to a mechanistic understanding of myasthenia gravis. 12235 - AKT2: serine-threonine kinase taking part in the insulin signal transduction pathway.

Implicated in some cancers, it has been a target of drug development campaigns in the past. 12236 - AMPC: A critical antibiotic resistance gene, it is a beta lactamase capable of opening the critical structural feature of celphalosporin-type antibiotics, rendering them ineffective. 12237 - BACE1: Beta secretase 1, an aspartic acid protease that helps form myelin sheaths in neurons.

It is the major generator of amyloid-beta peptides in neurons, and therefore is implicated in Alzheimer's disease. 12238 - BRAF: B-raf is involved in sending signals involved in cell growth, and as such is considered a proto-oncogen.

It is a serine/threonine kinase that has several known inhibitors, some of which are now anti-cancer medications. 12239 - CASP3: a caspase-type protease that participates in the execution of apoptosis, the process of programmed cell death.

It also acts to cleave one of the amyloid forming proteins and is therefore implicated in Alzheimer's dementia. 1240 - CDK2: one of the cyclin dependent kinases, this protein is a checkpoint kinase that signals transitions between growth and DNA synthesis phases in the cell cycle.

Dysfunction in this checkpoint is associated with cancer; inhibiting CDK2 can arrest cell cycle in cases of abmormal growth, so it has been an anti-cancer target for some time. 12241 - CSF1R: Colony stimulating factor 1 receptor, when bound by cognate ligands, will promote survival, proliferation and differentiation of many myeloid cell types.

It is thus involved in disease and is targeted in therapies for cancer, neurodegenerative diseases, nad inflammatory bone diseases. 12242 - DPP4: Dipeptidyl peptidase-4, a protein that cuts up certain other proteins on the surfaces of most cells.

Important in immune regulation, signal transduction, and apoptosis, molecules inhibiting its enzymatic activity can help treat type 2 diabetes because the peptide hormones (GLP-1, and GIP) are degraded by DPP4.

Thus, inhibiting DPP4 prolongs the effects of these hormones. 12243 - EGFR: Epidermal growth factor receptor; its deficient signaling is associated with Alzheimer's dementia, whereas its over-expression is a common characteristic of tumor cells.

It is thus an oncogene that is targeted by numerous anti-cancer molecules and drugs.

Many of these are targeted at the tyrosine kinase domain, because hampering its function prevents excessive transduction of the signals these receptors would otherwise send to the nucleus of the tumor cell. 12244 - ESR1: Estrogen Receptor Alpha is critical to many tissue differentiation processes across the body, and has been targeted by various drugs to both enhance and suppress its effects depending on associated conditions.

12245 - FA10: Coagulation factor X is an enzyme in the coagulation signaling cascade for forming blood clots.

It is a serine endopeptidase, and has been targeted by inhibitors to reduce coagulation in medical contexts where that is desirable.
12246 - FABP4: Fatty Acid Binding protein 4 is a protein that imports lipids between intra and extracellular membranes in macrophages and adipocytes.

Inhibiting it is associated with both preventing certain fat-tumor cancers and metabolic syndromes. 12247 - GRIA2: Glutamate ionotropic receptor AMPA type subunit 2 is a glutamate receptor, an essential neurotransmitter in humans.

Its pre-mRNA is A->I edited at a particular site that makes the channel impermeable to calcium.

Editing errors here can result in ALS, and some other diseases. 12248 - HSP90AA1: Heat shock protein 90kDa alpha A1 is a stress inducible protein that refolds misfolded or damaged proteins.

It is a relevant drug target because it interacts with a number of tumor promoting proteins and plays a large role in cellular adaptation to stress. 12249 - IGF1R: Insulin like growth factor 1 is an extracellular receptor with a tyrosine kinase domain.

It is critical for growth and development, and as such if overproduced can contribute to the cancer phenotype and certain other diseases.

Therefore inhibitors have been developed to target this extracellular receptor. 12250 - ITAL (LFA-1): Leukocyte adhesion cglycoprotein LFA-1 alpha is an integrin found on lymphocytes and other leukocytes.

It functions in the process of tissue emigration in lymphocytes, and in cytotoxic T-cell mediated killing of cells. 12251 - KIT: tyrosine-protein kinase KIT is a receptor tyrosine kinase and a proto-oncogene.

It senses cytokines, transducing signals that govern cell proliferation and survival.

As such it is often mutated in cancers, where its excessive activity maintains or enhances the tumor state. 12252 - MAPK2: Mitogen-activated protein kinase kinase is part of the MAPK pathway, which is famously aberrant in many types of cancers, particularly melanomas.

Inhibitors against it would slow the progression of cancer, so it has been targeted by therapies historically. 12253 - MET: tyrosine-protein kinase Met, also known as hepatocyte growth factor receptor, governs embryonic development, organogenesis and wound-healing.

Abnormal activation of MET sustains tumors by causing them to grow and become better supplied by blood vessels.

Extensive research has focused on inhibiting MET because of its correlation with poor prognosis in cancer, and many compounds are in various parts of the regulatory approval process. 12254 - MK10: MAPK-10 or mitogen-activated protein kinase 10 is associated with a wide variety of cellular processes associated with proliferatiation, differentiation, and development.

Mapk-10 is implicated in neuronal development, and when active can inhibit neuronal apoptosis.

12255 - MK14: MAPK-14 or p38-alpha is another stress and differentiation controlling kinase.

Because of its interaction with inflammatory signaling in the immune system, it is a relevant target for immune diseases and heart disease. 12256 - PPARD: Peroxisome proliferator-activated receptor delta is a nuclear hormone receptor that is implicated in the development of several classes of chronic disease.

Drugs stimulating it can act as biochemical substitutes for exercise, and decouple oxidative phosphorylation.

12257 - PPARG: Peroxisome proliferator activated receptor gamma is similar to the delta variant in some ways, but also serves as a master-regulator of fat cell differentiation.

It has been studied as a target for growth inhibition in cancer cell cultures.

It also is targeted by drugs that treat lipid metabolism disorders like hyperlipidemia and hyperglycemia, as well as for type 2 diabetes as an insulin sensitizer. 12258 - PTN1: Tyrosine-protein phosphatase non-receptor type 1 counteracts the effect of certain tyrosine kinases in protein signalling.

One of its targets is the phosphosite on the insulin receptor and several other receptor tyrosine kinases, including some from this list.

As such, it has implications for both the treatemnt of some cancers and also type 2 diabetes. 12259 - RENI: Renin is an endopeptidase that generates angiotensin 1, resulting in a blood pressure increasing signalling cascade that also causes sodium retention by the kidneys.

As such, renin inhibitors can serve to reduce blood pressure. 12260 - RXRA: Retinoid x receptor alpha is a nuclear receptor that binds retinoic acid, causing transcription of a large number of genes.

12261 - TGFR1: Transforming growth factor beta receptor 1 is a TGF-beta receptor that regulates differentiation in a number of endothelial cell types, and seems to have particular bearing on the development of reproductive tissues.

It has been targeted by studies working to develop cancer therapeutics. 12262 - THRB: Thyroid hormone receptor beta is a nuclear receptor that, when activated by thyroid hormone, initiates a large number of different genes.

Deficiencies in activity can result in thyroid hormone resistance which can cause goiter.

12263 - TRY1: Trypsin-1 is the main form of trypsinogen secreted by the pancreas.

It is an enzyme that breaks down proteins, and defective mutations of it can cause pancreatitis.

It is also a workhorse protein in modern biochemical and biophysical labs. 12264 - TRYB1: Tryptase beta-1 is a trypsin like protease that is secreted as part of Mast-cell activation.

As such it has roles in inflammation associated with asthma, and in cleaving flu's hemagglutinin surface protein (which initiates the experience of flu-like symptoms).

Attempts to produce inhibitors hve so far been difficult, but it has relevance to reducing the severity of the inflammatory response in these conditions. 12265 - VGFR2: Vascular endothelial growth factor receptor number 2 is a tyrosine kinase signaling receptor that binds the vascularization hormone, and causes tissue remodeling to form channels for blood vessel growth.

When over-active or over-expressed this protein supports the vascularization of tumor tissue, making inhibitors targeting it helpful in treating some cancers. 12267 - ABL1: ABL is a protein tyrosine kinase and a prominent proto-oncogen.

Mu
tations in this gene are involved in chronic and acute myelogenous leukemia (A/CML),
and it is the kinase in the fusion protein created by the translocation event that
causes the Philadelphia chromosome, a historically important type of hereditary canc
er risk factor that was visible from analysis of mitotic chromosomes.

Specific treat
ment of these cancers came in part from the development of tyrosine kinase inhibito
rs targeting this protein.
12268 - ANDR: The androgen receptor.

A steroid hormone activated transcription f
actor, it activates a collection of genes that are part of the secondary sex charact
eristics.

Implicated in several varieties of human disease, androgen receptor can no
tably undergo gene duplication events in cancer cells, causing aberrant growth in th
e presence of androgen.

Newer treatments for such cancers involve blocking this rece
ptor.
12270 - FAK1: Focal adhesion kinase.

A protein tyrosine kinase involved in the signaling pathways that cause cells to adhere to one another.

Excess activity is often part of cancer phenomena, and is implicated in metastasis.

It is also cleaved in the 'caspase' cascade resulting in programmed cell death, so this activity is sometimes disrupted in cancers, particularly breast cancers and certain types of ovarian cancers.

A specific class of drugs has emerged to inhibit this molecule as anti-cancer therapies.
12271 - FKBP1: FK506 (tacrolimus) binding protein.

An enzyme that takes part in immune regulation and basic cell processes.

It is the target of immunosuppresive drugs; it may also take part in the dysfunctions in cell signalling associated with some cancers.

Originally discovered as the target of the immunosuppresant tacrolimus used in organ transplants.
12272 - GCR: Glucocorticoid receptor.

Binds cortisol and other glucocorticoid hormones.

Many medications target this receptor because of the changes in gene expression activation or repression of its behavior can induce.
12273 - GLCM: Beta glucocerebrosidase (also called acid beta glucosidase).

An enzyme catalyzing a reaction in glycolipid metabolism; some of its mutants are implicated in parkinsons disease, and Gaucher's disease, a lysozomal storage disease.
12274 - HXK4: Hexokinase IV (glucokinase).

Occurring in the liver and pancreas, and is critical for carbohydrate metabolism in mammals.

An enzyme transcribed in response to insulin signaling, it is relevant for treatment of certain types of diabetes.

Genetic variation can result in genetic diseases similar to diabetes.
12276 - LCK: Lymphocite specific protein tyrosine kinase.

Responsible for the T-cell receptor signalling cascade. 12278 - MCR: Mineralocorticoid receptor.

MR is expressed in many tissues, and does myriad things.

It is activated by aldosterone and glucocorticoids like cortisol.

Targeting MR has relevance for numerous medically relevant biologies, but has been exploited for hypertension/cardiovascular disease.
12279 - PPARA: Peroxisome proliferator-activated receptor.

A receptor activated under conditions of energy deprivation--necessary for ketogenesis, whereby energy is produced from fats while an organism fasts.
12280 - PRGR: Progesterone Receptor.

This receptor binds a key sex hormone having to do with pregnancy and estrous in mammals.

Activating or deactivating this receptor pharmaceutically has been very important for contraceptives and other reproduction-related applications.
12281 - PUR2: GAR transformylase, Phosphoribosylglycinamide formyltransferase.

This enzyme is a critical part of nucleic acid biosynthesis.

Because nucleotides are the building blocks of DNA and RNA, cells that are very metabolically or mitotically active depend on this enzyme more heavily.

As such, this protein is the target of some chemotheraputic treatments.

RELATED TERMS GLOSSARY AI BETA

Note: Glossary items are a high level summary and may not be 100% accurate.

protein

A large molecule essential for all living organisms.

Scientific: Pharmaceutical
Biotechnology / Structural Biology

Proteins are complex molecules that perform many vital functions in the body. They are involved in everything from building and repairing tissues to transporting nutrients and fighting infections.


DUD-E

Directory of Useful Drugs - Experiments.

Acronym: Pharmaceutical
Biotechnology / Drug Discovery

DUD-E is a publicly available dataset of protein-ligand interactions used to benchmark and evaluate computational methods for drug discovery.


Alpha Fold

An artificial intelligence system for predicting protein structures.

Acronym: Pharmaceutical
Biotechnology / Protein Structure Prediction

AlphaFold is a groundbreaking AI system developed by DeepMind that can accurately predict the 3D structure of proteins. This has significant implications for drug discovery and understanding biological processes.


Drug Discovery

The process of identifying and developing new medications.

Technical: Pharmaceutical
Biotechnology / Pharmaceutical Research

Drug discovery is a complex and lengthy process that involves identifying promising drug candidates, testing their efficacy and safety, and ultimately bringing them to market.


Protein-Ligand Interactions

The binding of a protein to a small molecule (ligand).

Scientific: Pharmaceutical
Biotechnology / Structural Biology

Protein-ligand interactions are fundamental to many biological processes. Drugs often work by interfering with these interactions.


Pesticide

A substance used to kill or control pests.

Technical: Agriculture
Agriculture / Pest Control

Pesticides are chemicals used to protect crops from insects, weeds, and other pests. However, their use can have negative environmental impacts.


Acetylcholinesterase

An enzyme that breaks down acetylcholine in the nervous system.

Scientific: Pharmaceutical
Biotechnology / Neurobiology

Acetylcholinesterase is a key enzyme involved in nerve impulse transmission. Some drugs inhibit this enzyme, increasing acetylcholine levels and having therapeutic effects.


Target Proteins

Proteins that are the intended site of action for a drug.

Scientific: Pharmaceutical
Biotechnology / Drug Discovery

Target proteins are specific molecules involved in disease pathways. Drugs aim to modulate their activity to treat the condition.


Neural Swelling

Increased volume or pressure within the brain.

Medical: Pharmaceutical
Medicine / Neurology

Neural swelling, also known as edema, is a serious medical condition that can lead to increased intracranial pressure and neurological damage.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:34:59
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
GA102 [GeForce RTX 3090]
Nvidia GA102 8,636,467 221,006 39.08 0 hrs 37 mins
2 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 7,670,391 229,242 33.46 0 hrs 43 mins
3 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 7,485,850 227,429 32.92 0 hrs 44 mins
4 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 6,675,670 157,318 42.43 0 hrs 34 mins
5 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,522,313 199,395 32.71 0 hrs 44 mins
6 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 5,800,144 208,561 27.81 0 hrs 52 mins
7 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 5,465,828 20,784 262.98 0 hrs 5 mins
8 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 5,158,748 141,102 36.56 0 hrs 39 mins
9 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 4,863,952 197,088 24.68 0 hrs 58 mins
10 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 4,623,173 194,080 23.82 1 hrs 0 mins
11 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,414,506 189,264 23.32 1 hrs 2 mins
12 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 4,283,068 188,000 22.78 1 hrs 3 mins
13 TITAN RTX
TU102 [TITAN RTX] 16310
Nvidia TU102 4,277,031 188,592 22.68 1 hrs 3 mins
14 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 4,244,466 188,570 22.51 1 hrs 4 mins
15 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,244,291 186,602 22.75 1 hrs 3 mins
16 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 4,015,315 145,423 27.61 0 hrs 52 mins
17 RTX A4500
GA102GL [RTX A4500]
Nvidia GA102GL 3,863,592 183,283 21.08 1 hrs 8 mins
18 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 3,730,605 181,824 20.52 1 hrs 10 mins
19 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,723,394 131,316 28.35 0 hrs 51 mins
20 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,378,468 174,743 19.33 1 hrs 14 mins
21 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 3,369,016 173,485 19.42 1 hrs 14 mins
22 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 3,325,727 173,500 19.17 1 hrs 15 mins
23 GeForce RTX 3070 Mobile / Max-Q
GA104M [GeForce RTX 3070 Mobile / Max-Q]
Nvidia GA104M 3,214,659 171,762 18.72 1 hrs 17 mins
24 GeForce RTX 2080
TU104 [GeForce RTX 2080]
Nvidia TU104 3,156,032 170,262 18.54 1 hrs 18 mins
25 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 2,989,126 97,657 30.61 0 hrs 47 mins
26 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,942,755 164,307 17.91 1 hrs 20 mins
27 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,886,758 166,318 17.36 1 hrs 23 mins
28 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 2,828,933 165,291 17.11 1 hrs 24 mins
29 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,759,538 162,946 16.94 1 hrs 25 mins
30 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,609,439 160,999 16.21 1 hrs 29 mins
31 TITAN Xp
GP102 [TITAN Xp] 12150
Nvidia GP102 2,533,682 159,694 15.87 1 hrs 31 mins
32 GeForce RTX 2070 Mobile
TU106BM [GeForce RTX 2070 Mobile]
Nvidia TU106BM 2,267,156 154,168 14.71 1 hrs 38 mins
33 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 2,262,312 148,167 15.27 1 hrs 34 mins
34 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,183,492 145,736 14.98 1 hrs 36 mins
35 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,149,188 117,115 18.35 1 hrs 18 mins
36 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,062,124 112,464 18.34 1 hrs 19 mins
37 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 2,054,834 135,978 15.11 1 hrs 35 mins
38 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,903,110 69,056 27.56 0 hrs 52 mins
39 GeForce RTX 2070 Mobile
TU106M [GeForce RTX 2070 Mobile]
Nvidia TU106M 1,828,993 142,544 12.83 1 hrs 52 mins
40 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,776,926 88,170 20.15 1 hrs 11 mins
41 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,684,011 138,647 12.15 1 hrs 59 mins
42 Radeon RX 7700S/7600(S)
Navi 33 [Radeon RX 7700S/7600(S)]
AMD Navi 33 1,675,785 138,856 12.07 1 hrs 59 mins
43 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,663,309 139,143 11.95 2 hrs 0 mins
44 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,627,476 121,136 13.44 1 hrs 47 mins
45 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 1,523,035 134,217 11.35 2 hrs 7 mins
46 RTX A2000 12GB
GA106 [RTX A2000 12GB]
Nvidia GA106 1,506,525 133,809 11.26 2 hrs 8 mins
47 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,497,288 84,854 17.65 1 hrs 22 mins
48 Radeon RX 6600/6600 XT/6600M
Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 XT-XL 1,479,542 130,281 11.36 2 hrs 7 mins
49 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,360,195 131,138 10.37 2 hrs 19 mins
50 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 1,036,800 20,784 49.88 0 hrs 29 mins
51 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 940,818 114,542 8.21 2 hrs 55 mins
52 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 684,869 54,817 12.49 1 hrs 55 mins
53 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 623,131 100,778 6.18 3 hrs 53 mins
54 GeForce RTX 3050 Mobile
GA107M [GeForce RTX 3050 Mobile]
Nvidia GA107M 582,473 78,334 7.44 3 hrs 14 mins
55 GeForce GTX 1650 Ti Mobile
TU117M [GeForce GTX 1650 Ti Mobile]
Nvidia TU117M 550,962 94,119 5.85 4 hrs 6 mins
56 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 550,469 98,721 5.58 4 hrs 18 mins
57 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 478,933 63,234 7.57 3 hrs 10 mins
58 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 412,182 89,881 4.59 5 hrs 14 mins
59 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 297,730 78,069 3.81 6 hrs 18 mins
60 GeForce GTX 1050 3 GB Max-Q
GP107M [GeForce GTX 1050 3 GB Max-Q]
Nvidia GP107M 222,165 73,128 3.04 7 hrs 54 mins
61 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 195,676 67,577 2.90 8 hrs 17 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:34:59
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make