RESEARCH: CANCER
FOLDING PROJECT #16923 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 protein building blocks called hairpins fold into shapes. By changing things like chemical links and the code that makes up these proteins, scientists can learn how to design better 'affibody' drugs that target cancer cells.

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 secondary structure in proteins characterized by a helix shape.

Scientific: Pharmaceutical Research
Biotechnology / Protein Folding

Alpha-helical hairpins are a type of protein structure where the protein chain forms a helical shape. This helix then folds back on itself, creating a hairpin-like structure. These structures are important for many biological processes.


disulfide cross-linkers

Covalent bonds formed between two cysteine amino acids in a protein.

Scientific: Pharmaceutical Research
Biotechnology / Protein Structure

Disulfide cross-linkers are strong chemical bonds that can form between two sulfur atoms within a protein. They help to stabilize the protein's structure and shape, making it more resistant to changes.


sequence variants

Alterations in the order of nucleotides within a gene.

Scientific: Pharmaceutical Research
Biotechnology / Genetic Engineering

Sequence variants are changes in the DNA code that make up a gene. These changes can lead to variations in the protein produced by the gene, which can have an impact on biological function.


molecular simulation methods

Techniques used to model the behavior of molecules and their interactions using computers.

Scientific: Pharmaceutical Research
Biotechnology / Computational Biology

Molecular simulation methods use computer programs to mimic the behavior of molecules. This allows scientists to study how molecules interact with each other and their environment, which can be helpful for drug discovery and development.


protein binder scaffolds

Structural frameworks designed to bind to specific target proteins.

Scientific: Pharmaceutical Research
Biotechnology / Protein Engineering

Protein binder scaffolds are like the basic building blocks for creating molecules that can specifically bind to other proteins. This has applications in drug development, where these scaffolds can be used to create drugs that target specific proteins involved in disease.


affibody

A genetically engineered protein that binds to specific targets with high affinity.

Technical: Pharmaceutical Research
Biotechnology / Antibody Engineering

Affibody is a type of small protein engineered to bind tightly to specific molecules. They are like smaller, more stable versions of antibodies and have potential use in diagnostics and therapy.


cancer therapeutics

Medical treatments used to treat cancer.

Technical: Pharmaceutical Research
Medicine / Oncology

Cancer therapeutics are any medications or therapies designed to treat cancer. This can include chemotherapy drugs, radiation therapy, and targeted therapies that aim to specifically attack cancer cells.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:43:16
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 00:43:16
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 18,241 437,784 AMD
2 CORE I9-9900K CPU @ 3.60GHZ 16 21,943 351,088 Intel
3 RYZEN 9 5950X 16-CORE 32 8,212 262,784 AMD
4 RYZEN THREADRIPPER 3960X 24-CORE 48 5,441 261,168 AMD
5 RYZEN 9 3950X 16-CORE 32 8,089 258,848 AMD
6 RYZEN 9 5900X 12-CORE 24 10,306 247,344 AMD
7 CORE I9-9980XE CPU @ 3.00GHZ 36 5,921 213,156 Intel
8 RYZEN 9 3900X 12-CORE 24 8,191 196,584 AMD
9 RYZEN 7 5800X 8-CORE 16 11,816 189,056 AMD
10 CORE I9-7920X CPU @ 2.90GHZ 24 7,781 186,744 Intel
11 RYZEN THREADRIPPER 2970WX 24-CORE 48 3,848 184,704 AMD
12 CORE I7-4790 CPU @ 3.60GHZ 8 21,650 173,200 Intel
13 CORE I9-10900K CPU @ 3.70GHZ 20 7,929 158,580 Intel
14 CORE I7-5960X CPU @ 3.00GHZ 16 9,286 148,576 Intel
15 RYZEN 7 3700X 8-CORE 16 8,862 141,792 AMD
16 CORE I7-9700K CPU @ 3.60GHZ 8 17,585 140,680 Intel
17 XEON CPU E5-2690 V2 @ 3.00GHZ 20 6,678 133,560 Intel
18 CORE I7-9700 CPU @ 3.00GHZ 8 16,616 132,928 Intel
19 RYZEN 5 3600X 6-CORE 12 10,932 131,184 AMD
20 RYZEN 5 3600 6-CORE 12 10,332 123,984 AMD
21 RYZEN 5 1600X SIX-CORE 12 10,172 122,064 AMD
22 RYZEN 5 3500 6-CORE 6 18,682 112,092 AMD
23 RYZEN 7 3800X 8-CORE 16 6,901 110,416 AMD
24 RYZEN 5 2600X SIX-CORE 12 9,124 109,488 AMD
25 CORE2 DUO CPU T7700 @ 2.40GHZ 12 8,733 104,796 Intel
26 CORE I7-4870HQ CPU @ 2.50GHZ 8 12,839 102,712 Intel
27 RYZEN 7 4800H 16 6,305 100,880 AMD
28 CORE I5-9600K CPU @ 3.70GHZ 6 16,005 96,030 Intel
29 RYZEN 5 3600XT 6-CORE 12 7,774 93,288 AMD
30 RYZEN 7 2700X EIGHT-CORE 16 5,637 90,192 AMD
31 CORE I5-9400F CPU @ 2.90GHZ 6 14,433 86,598 Intel
32 CORE I9-9900 CPU @ 3.10GHZ 16 5,306 84,896 Intel
33 RYZEN 7 1700 EIGHT-CORE 16 4,728 75,648 AMD
34 CORE I7-6700K CPU @ 4.00GHZ 8 9,369 74,952 Intel
35 CORE I7-8700K CPU @ 3.70GHZ 12 6,236 74,832 Intel
36 CORE I7-6820HQ CPU @ 2.70GHZ 8 9,108 72,864 Intel
37 RYZEN 5 4600HS 12 5,604 67,248 AMD
38 CORE I7-4790K CPU @ 4.00GHZ 8 7,297 58,376 Intel
39 CORE I7-8550U CPU @ 1.80GHZ 8 7,283 58,264 Intel
40 XEON CPU E5-2620 V2 @ 2.10GHZ 24 2,399 57,576 Intel
41 RYZEN 5 2600 SIX-CORE 12 4,768 57,216 AMD
42 CORE I7-8705G CPU @ 3.10GHZ 8 7,065 56,520 Intel
43 CORE I5-7600 CPU @ 3.50GHZ 4 12,273 49,092 Intel
44 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 6,071 48,568 Intel
45 CORE I5-6500 CPU @ 3.20GHZ 4 11,904 47,616 Intel
46 CORE I5-7400 CPU @ 3.00GHZ 4 10,877 43,508 Intel
47 CORE I7-3770 CPU @ 3.40GHZ 8 4,419 35,352 Intel
48 RYZEN 5 1400 QUAD-CORE 8 4,227 33,816 AMD
49 RYZEN 7 4700U 8 4,223 33,784 AMD
50 XEON CPU E5-2609 V2 @ 2.50GHZ 8 4,189 33,512 Intel
51 XEON CPU E3-1230 V2 @ 3.30GHZ 8 4,146 33,168 Intel
52 CORE I7-8565U CPU @ 1.80GHZ 8 3,769 30,152 Intel
53 CORE I7-1065G7 CPU @ 1.30GHZ 8 3,099 24,792 Intel
54 PHENOM II X6 1090T 6 3,526 21,156 AMD
55 FX-8350 EIGHT-CORE 8 2,477 19,816 AMD
56 CORE I5-10210U CPU @ 1.60GHZ 7 2,775 19,425 Intel
57 FX-9590 EIGHT-CORE 8 2,225 17,800 AMD
58 CORE I3-7100 CPU @ 3.90GHZ 4 4,065 16,260 Intel
59 CORE I5-6200U CPU @ 2.30GHZ 4 3,607 14,428 Intel
60 CORE I7 CPU 860 @ 2.80GHZ 8 1,736 13,888 Intel
61 FX-8320 EIGHT-CORE 8 1,666 13,328 AMD
62 PENTIUM(R) SILVER N5000 CPU @ 1.10GHZ 4 2,751 11,004 Intel
63 PHENOM II X4 965 4 2,345 9,380 AMD
64 CORE I3-6006U CPU @ 2.00GHZ 4 2,098 8,392 Intel
65 CELERON(R) CPU N3350 @ 1.10GHZ 2 935 1,870 Intel
66 A8-6410 APU 4 261 1,044 AMD
67 CORE I3-6100 CPU @ 3.70GHZ 4 Intel