RESEARCH: DUD-E
FOLDING PROJECT #12226 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 83,084
Core: 0x22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project uses computer simulations to study how medicines interact with proteins. They're focusing on a protein called Acetylcholinesterase, which is important for brain function and is targeted by both pesticides and drugs. By creating accurate simulations, researchers hope to improve drug development and find 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. 12201 - 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. 12202 - 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. 12203 - 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. 12204 - 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. 12205 - 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. 12206 - 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. 12207 - 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. 12208 - 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. 12209 - 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. 12210 - 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. 12211 - 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.

12212 - 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.
12213 - 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. 12214 - 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. 12215 - 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. 12216 - 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. 12217 - 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. 12218 - 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. 12219 - 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. 12220 - 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. 12221 - 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.

12222 - 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. 12223 - 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.

12224 - 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. 12225 - 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. 12226 - 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. 12227 - RXRA: Retinoid x receptor alpha is a nuclear receptor that binds retinoic acid, causing transcription of a large number of genes.

12228 - 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. 12229 - 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.

12230 - 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. 12231 - 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. 12232 - 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.

RELATED TERMS GLOSSARY AI BETA

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

protein-ligand interactions

Interactions between proteins and small molecules (ligands)

scientific: medicine
biotechnology / pharmacology

Protein-ligand interactions are crucial for many biological processes. They involve the binding of a protein to a smaller molecule called a ligand. These interactions are essential for drug development, as drugs often work by targeting specific protein-ligand interactions.


DUD-E

Directory of Useful Decoys Enhanced

acronym: medicine
biotechnology / pharmacology

DUD-E is a benchmark dataset used to evaluate the performance of computational methods for predicting protein-ligand interactions. It contains diverse proteins and a large collection of small molecules, with experimentally measured binding affinities.


Alpha Fold

An artificial intelligence system for predicting protein structures

software: medicine
biotechnology / computational biology

AlphaFold is a powerful AI system developed by DeepMind that can predict the 3D structure of proteins with remarkable accuracy. This has revolutionized our understanding of protein function and has numerous applications in drug discovery, disease research, and other fields.


drug discovery

The process of identifying and developing new drugs

process: medicine
biotechnology / pharmacology

Drug discovery is a complex and lengthy process that involves multiple stages, from identifying potential drug targets to clinical trials. The goal is to develop safe and effective treatments for diseases.


protein-small molecule interactions

Interactions between proteins and small molecules

scientific: medicine
biotechnology / pharmacology

Protein-small molecule interactions are crucial for many biological processes, including signaling, metabolism, and drug action. These interactions involve the binding of a protein to a smaller molecule, which can have a variety of effects on the protein's function.


Acetylcholinesterase

An enzyme that breaks down acetylcholine, a neurotransmitter

enzyme: medicine
biotechnology / neurobiology

Acetylcholinesterase is an enzyme responsible for breaking down acetylcholine, a neurotransmitter involved in muscle contraction and nerve impulse transmission. It plays a critical role in regulating cholinergic signaling in the nervous system.


Torpedo Californica

A species of electric ray found off the coast of California

species: research
biology / marine biology

Torpedo Californica, commonly known as the California electric ray, is a marine fish belonging to the Torpediniformes order. It's known for its ability to generate electric shocks and was historically used in biomedical research due to its abundant electric organs.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:35:23
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 7,224,773 224,441 32.19 0 hrs 45 mins
2 Radeon RX 7900XT/XTX
Navi 31 [Radeon RX 7900XT/XTX]
AMD Navi 31 4,011,255 184,557 21.73 1 hrs 6 mins
3 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 3,766,651 180,122 20.91 1 hrs 9 mins
4 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,727,443 162,998 16.73 1 hrs 26 mins
5 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,358,626 155,729 15.15 1 hrs 35 mins
6 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,151,167 150,890 14.26 1 hrs 41 mins
7 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,115,863 149,248 14.18 1 hrs 42 mins
8 Quadro RTX 5000 Mobile / Max-Q
TU104GLM [Quadro RTX 5000 Mobile / Max-Q]
Nvidia TU104GLM 1,774,640 141,446 12.55 1 hrs 55 mins
9 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,741,026 140,651 12.38 1 hrs 56 mins
10 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,334,207 128,229 10.40 2 hrs 18 mins
11 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,219,423 124,610 9.79 2 hrs 27 mins
12 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 1,141,857 121,524 9.40 2 hrs 33 mins
13 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,137,728 121,371 9.37 2 hrs 34 mins
14 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,009,364 116,372 8.67 2 hrs 46 mins
15 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 858,845 106,463 8.07 2 hrs 59 mins
16 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 845,876 110,336 7.67 3 hrs 8 mins
17 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 837,150 110,289 7.59 3 hrs 10 mins
18 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 814,899 108,692 7.50 3 hrs 12 mins
19 Quadro P4000
GP104GL [Quadro P4000]
Nvidia GP104GL 693,406 103,921 6.67 3 hrs 36 mins
20 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 585,625 97,598 6.00 3 hrs 60 mins
21 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 544,479 95,550 5.70 4 hrs 13 mins
22 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 531,412 95,759 5.55 4 hrs 19 mins
23 GeForce GTX 1650
TU116 [GeForce GTX 1650] 3091
Nvidia TU116 492,389 90,230 5.46 4 hrs 24 mins
24 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 400,800 86,083 4.66 5 hrs 9 mins
25 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 400,508 86,454 4.63 5 hrs 11 mins
26 P106-090
GP106 [P106-090]
Nvidia GP106 367,760 83,474 4.41 5 hrs 27 mins
27 Tesla K20C
GK110 [Tesla K20C] 3524
Nvidia GK110 357,143 82,824 4.31 5 hrs 34 mins
28 Quadro P2200
GP106GL [Quadro P2200]
Nvidia GP106GL 197,702 38,553 5.13 4 hrs 41 mins
29 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 114,353 56,682 2.02 11 hrs 54 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:35:23
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make