RESEARCH: CANCER
FOLDING PROJECT #16920 PROFILE

PROJECT TEAM

Manager(s): Prof. Vincent Voelz
Institution: Temple University

WORK UNIT INFO

Atoms: 21,050
Core: OPENMM_22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project relates to understanding how tiny proteins fold into shapes. By changing their building blocks and adding special links, scientists want to learn how to design these proteins as cancer-fighting tools.

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

OFFICAL PROJECT DESCRIPTION

These simulations are designed to test our understanding the folding mechanism of alpha-helical hairpins.

We are trying to study how disulfide cross-linkers and sequence variants affect the folding thermodynamics and kinetics of these proteins, to learn how we might better use molecular simulation methods to design effective protein binder scaffolds, for use as "affibody" cancer therapeutics, for example.

RELATED TERMS GLOSSARY AI BETA

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

alpha-helical hairpins

A type of protein structure characterized by alpha-helix formations.

Scientific: Pharmaceuticals
Biotechnology / Protein Structure

Alpha-helical hairpins are common structural motifs in proteins. They consist of short stretches of alpha-helices connected by loops, forming a hairpin shape. Understanding their stability and folding is crucial for designing effective therapeutics and understanding biological processes.


disulfide cross-linkers

Covalent bonds formed between cysteine amino acids in proteins.

Technical: Pharmaceuticals
Biotechnology / Protein Structure

Disulfide cross-linkers are important for protein stability and folding. They form strong covalent bonds between cysteine residues, often contributing to the overall structure of a protein. Disrupting these cross-links can alter protein function.


sequence variants

Variations in the amino acid sequence of a protein.

Scientific: Pharmaceuticals
Biotechnology / Protein Engineering

Sequence variants arise from changes in the DNA code that dictates protein structure. These variations can alter protein function, stability, and interactions. Understanding sequence variants is crucial for developing new therapeutics and understanding disease mechanisms.


folding thermodynamics

The energy changes associated with protein folding.

Scientific: Pharmaceuticals
Biotechnology / Protein Folding

Folding thermodynamics describes the stability and energetics of protein structures. Understanding these principles is essential for designing proteins with desired properties and predicting how environmental factors affect protein folding.


folding kinetics

The rate of protein folding.

Scientific: Pharmaceuticals
Biotechnology / Protein Folding

Folding kinetics refers to the speed at which proteins adopt their functional structures. Factors influencing folding rates include temperature, pH, and the presence of chaperone molecules.


protein binder scaffolds

Structural frameworks for designing proteins that bind to specific targets.

Technical: Pharmaceuticals
Biotechnology / Protein Engineering

Protein binder scaffolds are used as templates for creating therapeutic proteins. By modifying the scaffold's structure and amino acid sequence, researchers can engineer proteins with high affinity and specificity for desired targets, such as cancer cells or disease-causing molecules.


affibody

Affibody is a small, engineered protein scaffold.

Technical: Pharmaceuticals
Biotechnology / Therapeutic Proteins

Affibody refers to a type of engineered protein based on the Z domain of staphylococcal protein A. These proteins are known for their high affinity and specificity towards various targets. They have potential applications as diagnostic tools and therapeutic agents in cancer and other diseases.


cancer therapeutics

Treatments aimed at preventing or curing cancer.

Clinical: Pharmaceuticals
Biotechnology / Oncology

Cancer therapeutics encompass a wide range of approaches designed to combat cancer. These include chemotherapy, radiation therapy, immunotherapy, and targeted therapies.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:43:20
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 1,698,991 52,612 32.29 0 hrs 45 mins
2 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 1,601,277 49,732 32.20 0 hrs 45 mins
3 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 1,585,823 49,486 32.05 0 hrs 45 mins
4 GeForce RTX 2080
TU104 [GeForce RTX 2080]
Nvidia TU104 1,581,565 49,563 31.91 0 hrs 45 mins
5 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 1,499,180 48,697 30.79 0 hrs 47 mins
6 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 1,120,395 44,047 25.44 0 hrs 57 mins
7 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 1,008,985 42,498 23.74 1 hrs 1 mins
8 GeForce RTX 2070
TU106 [GeForce RTX 2070] M 6497
Nvidia TU106 997,873 42,092 23.71 1 hrs 1 mins
9 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 983,071 42,148 23.32 1 hrs 2 mins
10 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 951,608 41,301 23.04 1 hrs 2 mins
11 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 947,042 41,673 22.73 1 hrs 3 mins
12 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 896,299 41,142 21.79 1 hrs 6 mins
13 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 828,898 39,147 21.17 1 hrs 8 mins
14 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 705,132 38,414 18.36 1 hrs 18 mins
15 Radeon RX 5600/5600 XT - 5700/5700 XT
Navi 10 [Radeon RX 5600 OEM/5600 XT / 5700/5700 XT]
AMD Navi 10 651,212 36,684 17.75 1 hrs 21 mins
16 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 498,716 34,056 14.64 1 hrs 38 mins
17 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 439,147 32,485 13.52 1 hrs 47 mins
18 Radeon RX Vega 56/64
Vega 10 XL/XT [Radeon RX Vega 56/64]
AMD Vega 10 XL/XT 435,058 31,713 13.72 1 hrs 45 mins
19 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 417,896 29,836 14.01 1 hrs 43 mins
20 P106-090
GP106 [P106-090]
Nvidia GP106 255,357 27,012 9.45 2 hrs 32 mins
21 Radeon R9 Fury X
Fiji XT [Radeon R9 Fury X]
AMD Fiji XT 246,576 26,537 9.29 2 hrs 35 mins
22 Radeon RX 470/480/570/580/590
Ellesmere XT [Radeon RX 470/480/570/580/590]
AMD Ellesmere XT 246,310 26,798 9.19 2 hrs 37 mins
23 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 240,207 26,425 9.09 2 hrs 38 mins
24 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 217,059 23,521 9.23 2 hrs 36 mins
25 GeForce GTX 680
GK104 [GeForce GTX 680] 3250
Nvidia GK104 122,227 21,141 5.78 4 hrs 9 mins
26 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 102,073 19,954 5.12 4 hrs 42 mins
27 Radeon HD 7800
Pitcairn [Radeon HD 7800]
AMD Pitcairn 89,829 19,205 4.68 5 hrs 8 mins
28 GeForce GTX 770
GK104 [GeForce GTX 770] 3213
Nvidia GK104 88,941 19,058 4.67 5 hrs 9 mins
29 Radeon R9 200/300 Series
Hawaii [Radeon R9 200/300 Series]
AMD Hawaii 74,809 18,096 4.13 5 hrs 48 mins
30 GeForce GTX 760
GK104 [GeForce GTX 760] 2258
Nvidia GK104 65,599 17,321 3.79 6 hrs 20 mins
31 GeForce GT 1030
GP108 [GeForce GT 1030] 1127
Nvidia GP108 44,844 11,938 3.76 6 hrs 23 mins
32 GeForce GTX 460 v2
GF114 [GeForce GTX 460 v2] 1045.6
Nvidia GF114 23,294 12,248 1.90 12 hrs 37 mins
33 GeForce GTX 550 Ti
GF116 [GeForce GTX 550 Ti] 691
Nvidia GF116 16,747 10,952 1.53 15 hrs 42 mins
34 GeForce GT 640
GK107 [GeForce GT 640] 693
Nvidia GK107 11,027 9,452 1.17 20 hrs 34 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:43:20
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make