RESEARCH: CANCER
FOLDING PROJECT #16949 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 small protein pieces called hairpins fold and how changes to their structure affect how they work. By understanding this, scientists hope to design better cancer drugs that latch onto specific 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 type of protein secondary structure characterized by a helical shape.

Scientific: Biopharmaceuticals
Biotechnology / Structural Biology

Alpha-helical hairpins are common structures found in proteins. They are made up of alpha helices, which are spiral-shaped regions of the protein chain. Hairpins have two alpha helices connected by a short loop, resembling a hairpin. These structures play important roles in protein function and stability.


disulfide cross-linkers

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

Scientific: Biopharmaceuticals
Biotechnology / Protein Engineering

Disulfide cross-linkers are strong covalent bonds that connect two cysteine amino acids within a protein. These bonds help stabilize the protein's three-dimensional structure and can influence its function. Researchers often manipulate disulfide bonds to study protein folding, stability, and interactions.


sequence variants

Variations in the DNA sequence of a gene.

Scientific: Pharmaceuticals
Biotechnology / Genetics

Sequence variants are changes in the order of nucleotides (A, T, C, G) within a gene. These variations can lead to different protein versions and affect various biological processes. Understanding sequence variants is crucial for studying genetic diseases, personalized medicine, and drug development.


folding thermodynamics

The study of energy changes associated with protein folding.

Scientific: Biopharmaceuticals
Biotechnology / Structural Biology

Folding thermodynamics investigates the energy required and released during protein folding. This field helps understand how proteins adopt their specific three-dimensional shapes and what factors influence stability. Understanding these principles is essential for designing new drugs and therapies.


protein binder scaffolds

Structural frameworks for designing therapeutic proteins that bind to specific targets.

Scientific: Biopharmaceuticals
Biotechnology / Drug Discovery

Protein binder scaffolds are foundational structures used to build therapeutic proteins. These scaffolds provide the basic framework for binding to specific target molecules, such as disease-causing proteins. Designing efficient protein binder scaffolds is crucial for developing effective therapies.


affibody

A type of small protein scaffold that binds to specific targets.

Technical: Biopharmaceuticals
Biotechnology / Drug Discovery

Affibody is a compact protein derived from bacterial cell surface proteins. It exhibits high binding affinity and specificity for various targets, making it suitable for developing diagnostic tools and therapeutic agents.


cancer therapeutics

Medications used to treat cancer.

Technical: Pharmaceuticals
Biotechnology / Oncology

Cancer therapeutics encompass a range of drugs designed to combat the growth and spread of cancer cells. These treatments aim to kill cancer cells, inhibit their proliferation, or prevent tumor formation.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:42:48
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 00:42:48
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 25,123 803,936 AMD
2 RYZEN 9 5950X 16-CORE 32 18,426 589,632 AMD
3 EPYC 7302 16-CORE 64 7,396 473,344 AMD
4 RYZEN 9 5900X 12-CORE 24 18,203 436,872 AMD
5 RYZEN THREADRIPPER 2970WX 24-CORE 48 8,236 395,328 AMD
6 RYZEN 9 3900XT 12-CORE 24 16,097 386,328 AMD
7 RYZEN 7 5800X 8-CORE 16 23,823 381,168 AMD
8 RYZEN 9 3900 12-CORE 24 14,444 346,656 AMD
9 11TH GEN CORE I7-11700K @ 3.60GHZ 16 21,035 336,560 Intel
10 RYZEN 9 3900X 12-CORE 24 12,477 299,448 AMD
11 XEON CPU E5-2690 V4 @ 2.60GHZ 28 10,146 284,088 Intel
12 CORE I9-10900X CPU @ 3.70GHZ 20 13,967 279,340 Intel
13 11TH GEN CORE I9-11900K @ 3.50GHZ 16 16,652 266,432 Intel
14 RYZEN 5 5600X 6-CORE 12 20,721 248,652 AMD
15 CORE I7-10700K CPU @ 3.80GHZ 16 15,033 240,528 Intel
16 CORE I9-7920X CPU @ 2.90GHZ 24 9,737 233,688 Intel
17 RYZEN THREADRIPPER 3960X 24-CORE 48 4,832 231,936 AMD
18 XEON CPU E5-2680 V3 @ 2.50GHZ 24 9,580 229,920 Intel
19 RYZEN 7 3700X 8-CORE 16 14,144 226,304 AMD
20 EPYC 7302P 16-CORE 32 6,810 217,920 AMD
21 RYZEN 7 3800X 8-CORE 16 13,331 213,296 AMD
22 RYZEN 5 3600X 6-CORE 12 16,977 203,724 AMD
23 CORE I7-8700 CPU @ 3.20GHZ 12 16,070 192,840 Intel
24 11TH GEN CORE I7-11700F @ 2.50GHZ 16 11,940 191,040 Intel
25 11TH GEN CORE I9-11900F @ 2.50GHZ 16 11,721 187,536 Intel
26 XEON CPU E5-2690 V2 @ 3.00GHZ 20 9,083 181,660 Intel
27 RYZEN 5 3600 6-CORE 12 14,857 178,284 AMD
28 11TH GEN CORE I5-11600K @ 3.90GHZ 12 14,751 177,012 Intel
29 RYZEN 5 2600X SIX-CORE 12 14,390 172,680 AMD
30 CORE I7-10700 CPU @ 2.90GHZ 16 10,319 165,104 Intel
31 RYZEN 7 2700X EIGHT-CORE 16 9,848 157,568 AMD
32 RYZEN 9 4900HS 16 9,777 156,432 AMD
33 CORE I7-9700K CPU @ 3.60GHZ 8 18,725 149,800 Intel
34 CORE I7-8700B CPU @ 3.20GHZ 12 11,282 135,384 Intel
35 CORE I7-10870H CPU @ 2.20GHZ 16 8,216 131,456 Intel
36 CORE I5-9400F CPU @ 2.90GHZ 6 20,732 124,392 Intel
37 CORE I7-6700K CPU @ 4.00GHZ 8 14,274 114,192 Intel
38 EPYC 7571 32-CORE 64 1,719 110,016 AMD
39 RYZEN 5 2600 SIX-CORE 12 8,573 102,876 AMD
40 CORE I5-10400F CPU @ 2.90GHZ 12 8,559 102,708 Intel
41 RYZEN 5 1600 SIX-CORE 12 8,435 101,220 AMD
42 RYZEN THREADRIPPER 1920X 12-CORE 24 3,755 90,120 AMD
43 CORE I5-8400 CPU @ 2.80GHZ 6 14,904 89,424 Intel
44 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 9,960 79,680 Intel
45 CORE I5-8300H CPU @ 2.30GHZ 8 9,584 76,672 Intel
46 CORE I7-4770 CPU @ 3.40GHZ 8 8,748 69,984 Intel
47 CORE I7-3840QM CPU @ 2.80GHZ 8 8,064 64,512 Intel
48 XEON W-10855M CPU @ 2.80GHZ 12 5,150 61,800 Intel
49 CORE I7-2600K CPU @ 3.40GHZ 8 6,899 55,192 Intel
50 CORE I7-3770 CPU @ 3.40GHZ 8 6,814 54,512 Intel
51 CORE I5-9300H CPU @ 2.40GHZ 8 6,784 54,272 Intel
52 XEON CPU X5670 @ 2.93GHZ 12 4,195 50,340 Intel
53 PHENOM II X6 1090T 6 5,342 32,052 AMD
54 CORE I7-4770K CPU @ 3.50GHZ 8 3,363 26,904 Intel
55 FX-8320 EIGHT-CORE 8 1,880 15,040 AMD
56 FX-8350 EIGHT-CORE 8 583 4,664 AMD