RESEARCH: CANCER
FOLDING PROJECT #16968 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 studying how tiny proteins called hairpins fold into shapes. They're looking at how changes in the protein's building blocks and chemical links affect how it folds. The goal is to learn how to design these proteins to bind to cancer cells, potentially leading to new 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 secondary structure with an alpha helix shape.

Scientific: Biotechnology
Biochemistry / Protein Structure

Alpha-helical hairpins are small protein segments that form a coiled, rod-like shape known as an alpha helix. They play important roles in stabilizing protein structures and facilitating interactions between proteins.


disulfide cross-linkers

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

Scientific: Biotechnology
Biochemistry / Protein Structure

Disulfide cross-linkers are strong chemical bonds formed between sulfur atoms within two cysteine amino acids. These bonds help to hold protein structures together and can influence a protein's shape and function.


sequence variants

Alterations in the DNA sequence that can lead to changes in protein structure and function.

Scientific: Biotechnology
Genetics / Protein Engineering

Sequence variants are modifications in a gene's DNA code. These changes can result in different versions of a protein being produced, which may have altered properties or functions compared to the original protein.


folding thermodynamics

The study of energy changes associated with protein folding.

Scientific: Biotechnology
Biochemistry / Protein Folding

Folding thermodynamics investigates the energy factors that drive the process of proteins folding into their specific three-dimensional shapes. Understanding these energy changes is crucial for comprehending how proteins achieve their functional forms.


molecular simulation methods

Computer programs used to model and simulate molecular interactions.

Scientific: Biotechnology
Biophysics / Computational Biology

Molecular simulation methods use computer algorithms to recreate the behavior of molecules. These simulations can help researchers study complex biological processes such as protein folding, drug binding, and cellular interactions.


protein binder scaffolds

Structural frameworks that can be designed to bind specific target proteins.

Scientific: Pharmaceuticals
Biotechnology / Drug Discovery

Protein binder scaffolds are engineered structures that can selectively attach to and interact with target proteins. They serve as the foundation for designing therapeutic agents, such as antibodies or small molecule inhibitors.


affibody

Affibody Therapeutics Ltd.

Acronym: Pharmaceuticals
Biotechnology / Protein Engineering

Affibody is a type of protein-based therapeutic that consists of small, engineered proteins known as affibodies. These affibodies are designed to bind with high specificity to target molecules, such as receptors or enzymes.


cancer therapeutics

Medicinal treatments aimed at combating cancer.

Technical: Pharmaceuticals
Medicine / Oncology

Cancer therapeutics are medical interventions used to treat cancer. These therapies can include chemotherapy, radiation therapy, immunotherapy, and targeted therapies, each with specific mechanisms of action.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:42:26
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 00:42:26
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 25,601 819,232 AMD
2 RYZEN 9 5950X 16-CORE 32 21,635 692,320 AMD
3 RYZEN THREADRIPPER 2970WX 24-CORE 48 7,549 362,352 AMD
4 RYZEN 7 5800X 8-CORE 16 21,511 344,176 AMD
5 RYZEN 9 3900XT 12-CORE 24 14,061 337,464 AMD
6 RYZEN 9 5900X 12-CORE 24 13,179 316,296 AMD
7 RYZEN 9 3900 12-CORE 24 13,098 314,352 AMD
8 11TH GEN CORE I7-11700K @ 3.60GHZ 16 18,698 299,168 Intel
9 CORE I9-10900X CPU @ 3.70GHZ 20 12,457 249,140 Intel
10 RYZEN 5 5600X 6-CORE 12 19,467 233,604 AMD
11 XEON CPU E5-2680 V4 @ 2.40GHZ 28 8,219 230,132 Intel
12 XEON CPU E5-2690 V4 @ 2.60GHZ 28 8,154 228,312 Intel
13 XEON CPU E5-2680 V3 @ 2.50GHZ 24 9,102 218,448 Intel
14 RYZEN 7 3700X 8-CORE 16 13,405 214,480 AMD
15 RYZEN 7 3800X 8-CORE 16 12,305 196,880 AMD
16 RYZEN 5 3600X 6-CORE 12 14,111 169,332 AMD
17 CORE I7-9700K CPU @ 3.60GHZ 8 20,986 167,888 Intel
18 RYZEN 7 4800H 16 10,394 166,304 AMD
19 CORE I7-10700K CPU @ 3.80GHZ 16 9,313 149,008 Intel
20 RYZEN 7 2700X EIGHT-CORE 16 9,072 145,152 AMD
21 RYZEN 5 3600 6-CORE 12 11,742 140,904 AMD
22 CORE I7-10870H CPU @ 2.20GHZ 16 7,339 117,424 Intel
23 RYZEN 3 3100 4-CORE 8 14,097 112,776 AMD
24 CORE I5-10400F CPU @ 2.90GHZ 12 9,110 109,320 Intel
25 CORE I7-9700T CPU @ 2.00GHZ 8 13,581 108,648 Intel
26 CORE I9-9900K CPU @ 3.60GHZ 16 6,790 108,640 Intel
27 CORE I7-6700K CPU @ 4.00GHZ 8 12,677 101,416 Intel
28 RYZEN 5 2600 SIX-CORE 12 7,600 91,200 AMD
29 RYZEN THREADRIPPER 2950X 16-CORE 32 2,384 76,288 AMD
30 11TH GEN CORE I5-11400 @ 2.60GHZ 12 6,022 72,264 Intel
31 CORE I5-10300H CPU @ 2.50GHZ 8 8,199 65,592 Intel
32 CORE I7-4790K CPU @ 4.00GHZ 8 7,469 59,752 Intel
33 XEON W-10855M CPU @ 2.80GHZ 12 4,948 59,376 Intel
34 CORE I5-8300H CPU @ 2.30GHZ 8 7,421 59,368 Intel
35 CORE I5-9300H CPU @ 2.40GHZ 8 6,874 54,992 Intel
36 CORE I7-6820HQ CPU @ 2.70GHZ 8 6,548 52,384 Intel
37 CORE I7-8550U CPU @ 1.80GHZ 8 5,517 44,136 Intel
38 XEON CPU E3-1241 V3 @ 3.50GHZ 8 4,418 35,344 Intel
39 PHENOM II X6 1090T 6 4,523 27,138 AMD
40 CORE I7-3610QM CPU @ 2.30GHZ 8 2,940 23,520 Intel