RESEARCH: CANCER
FOLDING PROJECT #16967 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 23,400
Core: GRO_A8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project relates to understanding how tiny proteins fold into shapes. By changing the protein's makeup and adding special links, scientists can learn how to design them better for use as cancer treatments.

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-helices forming hairpin shapes.

Scientific: Pharmaceuticals
Biotechnology / Protein Folding

Alpha-helical hairpins are a specific type of protein structure where alpha-helices (coiled sections of amino acids) connect to form a hairpin shape. These structures are important because they influence how proteins fold and function. Understanding how these hairpins form can help scientists design new proteins with desired properties.


disulfide cross-linkers

Covalent bonds between cysteine amino acids in proteins that stabilize structure.

Scientific: Pharmaceuticals
Biotechnology / Protein Structure

Disulfide cross-linkers are strong chemical bonds that form between two sulfur atoms in cysteine amino acids within a protein. These bonds help to stabilize the protein's 3D shape and are important for its proper function. Disrupting disulfide bonds can alter a protein's structure and activity.


sequence variants

Variations in the DNA sequence of a gene.

Scientific: Pharmaceuticals
Biotechnology / Genetics

Sequence variants are differences in the DNA code that make up a gene. These variations can lead to changes in the protein produced by the gene, which may have no effect, a beneficial effect, or a harmful effect. Studying sequence variants is important for understanding how genes work and for identifying genetic diseases.


folding thermodynamics

The study of energy changes during protein folding.

Scientific: Pharmaceuticals
Biotechnology / Protein Folding

Folding thermodynamics explores the energy factors involved in how proteins fold into their specific shapes. Understanding these energy changes helps scientists predict how proteins will fold and design proteins with desired structures.


folding kinetics

The rate and pathway of protein folding.

Scientific: Pharmaceuticals
Biotechnology / Protein Folding

Folding kinetics focuses on how quickly proteins fold and the steps involved in the process. Studying these rates helps scientists understand the mechanisms of protein folding and design proteins that fold efficiently.


molecular simulation methods

Computer-based techniques to simulate molecular interactions and processes.

Scientific: Pharmaceuticals
Biotechnology / Computational Biology

Molecular simulation methods use computer programs to mimic the behavior of molecules and their interactions. These simulations help researchers study complex biological systems, design new drugs, and understand how materials behave at the atomic level.


protein binder scaffolds

Structural frameworks for binding to target molecules.

Scientific: Pharmaceuticals
Biotechnology / Protein Engineering

Protein binder scaffolds are designed protein structures that act as platforms for binding to specific target molecules. These scaffolds can be used to develop drugs, diagnostic tools, and other biotechnologies.


affibody

A small protein scaffold that binds with high affinity to a target antigen.

Scientific: Pharmaceuticals
Biotechnology / Antibody Engineering

Affibody is a type of engineered protein designed to bind specifically to a target molecule (antigen). They are smaller and more stable than traditional antibodies, making them useful for various applications like drug delivery and imaging.


cancer therapeutics

Treatments for cancer.

Medical: Pharmaceuticals
Biotechnology / Oncology

Cancer therapeutics are medications and therapies used to treat cancer. These treatments aim to kill cancer cells, slow their growth, and alleviate symptoms.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:42:28
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:42:28
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 3950X 16-CORE 32 28,576 914,432 AMD
2 RYZEN 9 5950X 16-CORE 32 26,627 852,064 AMD
3 RYZEN 9 5900X 12-CORE 24 20,583 493,992 AMD
4 RYZEN 7 5800X 8-CORE 16 22,507 360,112 AMD
5 RYZEN THREADRIPPER 2970WX 24-CORE 48 7,259 348,432 AMD
6 RYZEN 9 3900XT 12-CORE 24 14,319 343,656 AMD
7 11TH GEN CORE I9-11900K @ 3.50GHZ 16 19,689 315,024 Intel
8 11TH GEN CORE I7-11700K @ 3.60GHZ 16 19,169 306,704 Intel
9 RYZEN 9 3900 12-CORE 24 12,700 304,800 AMD
10 CORE I9-9900K CPU @ 3.60GHZ 16 16,960 271,360 Intel
11 RYZEN 5 5600X 6-CORE 12 21,080 252,960 AMD
12 XEON CPU E5-2690 V4 @ 2.60GHZ 28 8,635 241,780 Intel
13 RYZEN 7 3700X 8-CORE 16 14,733 235,728 AMD
14 XEON CPU E5-2680 V3 @ 2.50GHZ 24 9,341 224,184 Intel
15 RYZEN 5 2600X SIX-CORE 12 16,708 200,496 AMD
16 RYZEN 7 3800X 8-CORE 16 12,410 198,560 AMD
17 RYZEN THREADRIPPER 3960X 24-CORE 48 3,817 183,216 AMD
18 CORE I9-10900X CPU @ 3.70GHZ 20 8,956 179,120 Intel
19 11TH GEN CORE I7-11700F @ 2.50GHZ 16 11,083 177,328 Intel
20 CORE I7-10700K CPU @ 3.80GHZ 16 10,880 174,080 Intel
21 RYZEN 5 3600 6-CORE 12 13,582 162,984 AMD
22 CORE I7-8700 CPU @ 3.20GHZ 12 13,549 162,588 Intel
23 RYZEN 7 2700X EIGHT-CORE 16 9,416 150,656 AMD
24 CORE I7-10700 CPU @ 2.90GHZ 16 9,173 146,768 Intel
25 CORE I7-10870H CPU @ 2.20GHZ 16 8,346 133,536 Intel
26 CORE I7-9700K CPU @ 3.60GHZ 8 16,017 128,136 Intel
27 XEON CPU E5-2690 V2 @ 3.00GHZ 20 5,745 114,900 Intel
28 CORE I5-10400 CPU @ 2.90GHZ 12 9,245 110,940 Intel
29 CORE I5-10400F CPU @ 2.90GHZ 12 8,632 103,584 Intel
30 RYZEN 5 2600 SIX-CORE 12 7,201 86,412 AMD
31 CORE I7-6700K CPU @ 4.00GHZ 8 9,628 77,024 Intel
32 RYZEN 5 3400G 8 9,525 76,200 AMD
33 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 8,693 69,544 Intel
34 XEON W-10855M CPU @ 2.80GHZ 12 5,713 68,556 Intel
35 CORE I5-8300H CPU @ 2.30GHZ 8 8,276 66,208 Intel
36 RYZEN 5 1600 SIX-CORE 12 4,930 59,160 AMD
37 XEON CPU X5670 @ 2.93GHZ 12 3,802 45,624 Intel
38 CORE I7-8550U CPU @ 1.80GHZ 8 5,624 44,992 Intel
39 CORE I7-3610QM CPU @ 2.30GHZ 8 3,127 25,016 Intel