RESEARCH: CANCER
FOLDING PROJECT #16933 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 fold and how changes to their structure affect their ability to bind to other molecules. Understanding this could help us design better 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 structural motif in proteins characterized by a helical shape.

Technical: Pharmaceuticals
Biotechnology / Protein Structure

Alpha-helical hairpins are common structures found in proteins. They consist of a section of the protein chain that forms an alpha helix, followed by another short stretch of chain that folds back on itself to form a hairpin shape. These structures play important roles in protein function and stability.


disulfide cross-linkers

Covalent bonds between sulfur atoms in cysteine amino acids.

Technical: Pharmaceuticals
Biotechnology / Protein Chemistry

Disulfide cross-linkers are strong chemical bonds that can form between two sulfur atoms within proteins. They play a crucial role in stabilizing protein structure and influencing its function. These bonds contribute to the overall shape and stability of proteins, particularly in their extracellular environment.


sequence variants

Variations in the DNA sequence of a gene.

Technical: Pharmaceuticals
Biotechnology / Genetics

Sequence variants are changes in the order of DNA building blocks (nucleotides) within a gene. These variations can lead to alterations in protein structure and function. Understanding sequence variants is crucial for studying genetic diseases and developing personalized medicine approaches.


folding thermodynamics

The study of energy changes associated with protein folding.

Technical: Pharmaceuticals
Biotechnology / Protein Structure

Folding thermodynamics explores the energy factors driving the process of proteins adopting their three-dimensional shapes. This field investigates how various interactions between amino acids influence protein stability and the likelihood of a protein folding correctly.


protein binder scaffolds

Framework structures designed to bind specifically to target proteins.

Technical: Pharmaceuticals
Biotechnology / Drug Discovery

Protein binder scaffolds are foundational elements in the design of new drugs. These engineered structures possess a specific shape that allows them to tightly attach to particular target proteins within the body. This binding can inhibit or activate protein function, leading to therapeutic effects.


affibody

A small protein scaffold with high affinity binding to specific targets.

Technical: Pharmaceuticals
Biotechnology / Drug Discovery

Affibody is a proprietary technology that utilizes genetically engineered proteins known as affibodies. These tiny proteins are designed to bind tightly and specifically to target molecules, making them valuable tools for drug development.


cancer therapeutics

Medicines used to treat cancer.

Technical: Pharmaceuticals
Biotechnology / Oncology

Cancer therapeutics encompass a broad range of treatments aimed at combating various types of cancers. These include chemotherapy drugs, targeted therapies, immunotherapy agents, and radiation therapy.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:43:02
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:43:02
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 3900XT 12-CORE 24 17,995 431,880 AMD
2 CORE I9-9900K CPU @ 3.60GHZ 16 22,026 352,416 Intel
3 RYZEN 9 3950X 16-CORE 32 8,934 285,888 AMD
4 RYZEN THREADRIPPER 3960X 24-CORE 48 5,597 268,656 AMD
5 RYZEN 9 5950X 16-CORE 32 8,384 268,288 AMD
6 RYZEN 9 5900X 12-CORE 24 11,064 265,536 AMD
7 CORE I9-9980XE CPU @ 3.00GHZ 36 6,787 244,332 Intel
8 CORE I9-7920X CPU @ 2.90GHZ 24 8,128 195,072 Intel
9 RYZEN 9 3900X 12-CORE 24 7,730 185,520 AMD
10 RYZEN 7 5800X 8-CORE 16 11,559 184,944 AMD
11 CORE I7-8700 CPU @ 3.20GHZ 12 12,763 153,156 Intel
12 RYZEN THREADRIPPER 2950X 16-CORE 32 4,546 145,472 AMD
13 RYZEN 5 1600X SIX-CORE 12 11,854 142,248 AMD
14 RYZEN THREADRIPPER 2970WX 24-CORE 48 2,951 141,648 AMD
15 XEON CPU E5-2690 V2 @ 3.00GHZ 20 6,690 133,800 Intel
16 CORE I7-9700 CPU @ 3.00GHZ 8 16,685 133,480 Intel
17 CORE I7-9700K CPU @ 3.60GHZ 8 16,430 131,440 Intel
18 RYZEN 5 3600X 6-CORE 12 10,858 130,296 AMD
19 RYZEN 5 2600X SIX-CORE 12 10,846 130,152 AMD
20 RYZEN 7 3700X 8-CORE 16 7,842 125,472 AMD
21 RYZEN 5 3600 6-CORE 12 10,218 122,616 AMD
22 RYZEN 7 3800X 8-CORE 16 7,211 115,376 AMD
23 RYZEN 5 3500 6-CORE 6 18,346 110,076 AMD
24 RYZEN 7 4800H 16 6,789 108,624 AMD
25 CORE I7-8700K CPU @ 3.70GHZ 12 8,990 107,880 Intel
26 CORE2 DUO CPU T7700 @ 2.40GHZ 12 8,923 107,076 Intel
27 RYZEN 5 PRO 4650G 12 8,284 99,408 AMD
28 RYZEN 7 2700X EIGHT-CORE 16 6,124 97,984 AMD
29 CORE I5-9600K CPU @ 3.70GHZ 6 15,010 90,060 Intel
30 CORE I5-9400F CPU @ 2.90GHZ 6 14,504 87,024 Intel
31 RYZEN 5 3600XT 6-CORE 12 7,080 84,960 AMD
32 CORE I9-9900 CPU @ 3.10GHZ 16 5,281 84,496 Intel
33 RYZEN 7 1700 EIGHT-CORE 16 4,698 75,168 AMD
34 CORE I5-9300H CPU @ 2.40GHZ 8 9,051 72,408 Intel
35 XEON CPU E5-2660 0 @ 2.20GHZ 32 2,187 69,984 Intel
36 CORE I7-8550U CPU @ 1.80GHZ 8 8,544 68,352 Intel
37 RYZEN 5 4600HS 12 5,665 67,980 AMD
38 CORE I7-6700K CPU @ 4.00GHZ 8 7,992 63,936 Intel
39 CORE I7-1068NG7 CPU @ 2.30GHZ 8 7,659 61,272 Intel
40 CORE I7-4790K CPU @ 4.00GHZ 8 7,346 58,768 Intel
41 GENUINE CPU 0000 @ 1.60GHZ 32 1,811 57,952 Intel
42 CORE I7-8705G CPU @ 3.10GHZ 8 7,147 57,176 Intel
43 RYZEN 5 2600 SIX-CORE 12 4,731 56,772 AMD
44 CORE I7-9850H CPU @ 2.60GHZ 12 4,626 55,512 Intel
45 CORE I7-6800K CPU @ 3.40GHZ 12 4,590 55,080 Intel
46 XEON CPU E5-2620 V2 @ 2.10GHZ 24 2,221 53,304 Intel
47 CORE I3-6100 CPU @ 3.70GHZ 4 12,299 49,196 Intel
48 CORE I5-7600 CPU @ 3.50GHZ 4 12,114 48,456 Intel
49 XEON W-2123 CPU @ 3.60GHZ 8 5,863 46,904 Intel
50 CORE I5-6500 CPU @ 3.20GHZ 4 11,663 46,652 Intel
51 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 5,552 44,416 Intel
52 CORE I7-6700 CPU @ 3.40GHZ 8 5,144 41,152 Intel
53 RYZEN 3 3200G 4 9,886 39,544 AMD
54 CORE I7-8665U CPU @ 1.90GHZ 8 4,918 39,344 Intel
55 RYZEN 5 1400 QUAD-CORE 8 4,415 35,320 AMD
56 CORE I7-3770 CPU @ 3.40GHZ 8 4,398 35,184 Intel
57 XEON CPU E5-2609 V2 @ 2.50GHZ 8 4,273 34,184 Intel
58 XEON CPU E3-1230 V2 @ 3.30GHZ 8 4,139 33,112 Intel
59 CORE I7-1065G7 CPU @ 1.30GHZ 8 4,032 32,256 Intel
60 CORE I7-8565U CPU @ 1.80GHZ 8 3,861 30,888 Intel
61 CORE I5-8400 CPU @ 2.80GHZ 6 5,005 30,030 Intel
62 CORE I5-8250U CPU @ 1.60GHZ 8 3,245 25,960 Intel
63 PHENOM II X6 1090T 6 3,588 21,528 AMD
64 CORE I5-10210U CPU @ 1.60GHZ 7 2,458 17,206 Intel
65 CORE I7-2760QM CPU @ 2.40GHZ 8 2,007 16,056 Intel
66 CORE I3-7100 CPU @ 3.90GHZ 4 3,597 14,388 Intel
67 FX-8320 EIGHT-CORE 8 1,609 12,872 AMD
68 CORE I5-4570 CPU @ 3.20GHZ 4 3,136 12,544 Intel
69 CORE I5-4300U CPU @ 1.90GHZ 4 3,067 12,268 Intel
70 PHENOM II X4 965 4 2,755 11,020 AMD
71 PENTIUM(R) SILVER N5000 CPU @ 1.10GHZ 4 2,619 10,476 Intel
72 CORE I3-6006U CPU @ 2.00GHZ 4 2,541 10,164 Intel
73 CELERON(R) CPU G3900 @ 2.80GHZ 2 3,679 7,358 Intel
74 RYZEN 5 3500U 8 612 4,896 AMD
75 CELERON(R) CPU G550 @ 2.60GHZ 2 1,735 3,470 Intel
76 A8-6410 APU 4 215 860 AMD