RESEARCH: CANCER
FOLDING PROJECT #16943 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 called hairpins fold and how changes in their structure affect how they work. The goal is to use computer simulations to design better protein 'binders' that could be used 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

Secondary structure element in proteins consisting of a helical region.

Scientific: Medicine
Biotechnology / Protein Structure

Alpha-helical hairpins are short segments of protein that form a helix shape. They are important for the overall structure and function of proteins. In this context, they are being studied to understand how they fold and how changes in their structure affect their properties.


disulfide cross-linkers

Covalent bonds between cysteine amino acids in proteins.

Scientific: Medicine
Biotechnology / Protein Structure

Disulfide cross-linkers are chemical bonds that connect two sulfur atoms within a protein. These bonds help to stabilize the protein's structure and can influence its folding and function. Researchers are studying how these cross-linkers affect the stability and behavior of alpha-helical hairpins.


sequence variants

Differences in the DNA sequence of a gene.

Scientific: Medicine
Biotechnology / Genetic Engineering

Sequence variants are changes in the order of DNA letters within a gene. These variations can lead to differences in protein structure and function. In this research, they are investigating how different sequence variants affect the folding and properties of alpha-helical hairpins.


protein binder scaffolds

Structural framework for binding to target proteins.

Scientific: Medicine
Biotechnology / Drug Development

Protein binder scaffolds are designed to specifically bind to other proteins. Researchers are using them to create therapeutic molecules that can target and inhibit specific proteins involved in diseases like cancer.


affibody

Affibody Therapeutics Inc. (ATI) developed a unique type of antibody fragment.

Scientific: Medicine
Biotechnology / Drug Development

An affibody is a small protein that can bind specifically to other proteins. They are used in research and medicine as diagnostic tools and for drug delivery.


cancer therapeutics

Treatments designed to kill or inhibit the growth of cancer cells.

Scientific: Pharmaceutical
Medicine / Oncology

Cancer therapeutics are medications and therapies used to treat cancer. They can work by directly killing cancer cells, slowing their growth, or preventing them from spreading.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:42:57
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 00:42:57
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 24,425 781,600 AMD
2 RYZEN 9 5950X 16-CORE 32 15,985 511,520 AMD
3 CORE I9-9980XE CPU @ 3.00GHZ 36 11,790 424,440 Intel
4 RYZEN 9 5900X 12-CORE 24 17,627 423,048 AMD
5 RYZEN THREADRIPPER 3960X 24-CORE 48 8,275 397,200 AMD
6 RYZEN THREADRIPPER 2970WX 24-CORE 48 8,108 389,184 AMD
7 CORE I9-10900K CPU @ 3.70GHZ 20 18,994 379,880 Intel
8 RYZEN 9 3900X 12-CORE 24 13,717 329,208 AMD
9 EPYC 7302P 16-CORE 32 10,007 320,224 AMD
10 RYZEN 7 5800X 8-CORE 16 18,302 292,832 AMD
11 CORE I9-7920X CPU @ 2.90GHZ 24 11,509 276,216 Intel
12 CORE I7-9700K CPU @ 3.60GHZ 8 29,055 232,440 Intel
13 RYZEN 7 3700X 8-CORE 16 13,549 216,784 AMD
14 RYZEN 7 3800X 8-CORE 16 12,860 205,760 AMD
15 CORE I7-8700K CPU @ 3.70GHZ 12 16,348 196,176 Intel
16 RYZEN 5 3600 6-CORE 12 14,563 174,756 AMD
17 CORE2 DUO CPU T7700 @ 2.40GHZ 12 13,953 167,436 Intel
18 RYZEN 7 2700X EIGHT-CORE 16 9,524 152,384 AMD
19 CORE I5-10400F CPU @ 2.90GHZ 12 10,952 131,424 Intel
20 RYZEN 7 1700 EIGHT-CORE 16 7,797 124,752 AMD
21 CORE I5-9400F CPU @ 2.90GHZ 6 20,570 123,420 Intel
22 RYZEN THREADRIPPER 1920X 12-CORE 24 4,879 117,096 AMD
23 RYZEN 5 2600X SIX-CORE 12 9,295 111,540 AMD
24 RYZEN 5 2600 SIX-CORE 12 8,992 107,904 AMD
25 CORE I5-9300H CPU @ 2.40GHZ 8 10,804 86,432 Intel
26 XEON CPU E5-2620 V2 @ 2.10GHZ 24 3,334 80,016 Intel
27 CORE I7-6700K CPU @ 4.00GHZ 8 9,619 76,952 Intel
28 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 8,687 69,496 Intel
29 CORE I7-6700 CPU @ 3.40GHZ 8 8,534 68,272 Intel
30 CORE I5-8250U CPU @ 1.60GHZ 8 5,735 45,880 Intel