RESEARCH: CANCER
FOLDING PROJECT #16985 PROFILE

PROJECT TEAM

Manager(s): Prof. Vincent Voelz
Institution: Temple University

WORK UNIT INFO

Atoms: 23,400
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project relates to understanding how small proteins fold. By changing their structure and connections, we can study how these changes affect their ability to bind to other molecules. The goal is to learn how to design better protein-based drugs, like those 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

Local structural motif in proteins

Scientific: Biopharmaceutical
Biotechnology / Protein Structure

Alpha-helical hairpins are short, curved sections of protein structure formed by alpha-helices. They play a role in protein folding and function. Understanding their formation can help design new proteins with specific properties.


disulfide cross-linkers

Covalent bonds between cysteine residues in proteins

Technical: Biopharmaceutical
Biotechnology / Protein Engineering

Disulfide cross-linkers are strong bonds that form between two sulfur atoms in cysteine amino acids within a protein. They stabilize protein structure and can be used to engineer specific properties.


sequence variants

Variations in DNA sequence

Scientific: Biopharmaceutical
Biotechnology / Genetic Engineering

Sequence variants are changes in the order of DNA building blocks (nucleotides). These variations can lead to differences in protein structure and function. Studying them helps understand disease mechanisms and develop new therapies.


protein binder scaffolds

Framework for binding proteins

Scientific: Biopharmaceutical
Biotechnology / Protein Design

Protein binder scaffolds are structural elements designed to bind specifically to target proteins. They serve as platforms for developing therapeutic antibodies and other biopharmaceuticals.


affibody

Affibody

Acronym: Biopharmaceutical
Biotechnology / Targeted Drug Delivery

An affibody is a small protein derived from a bacterial protein domain that binds specifically to target molecules. They are used in diagnostics and therapeutics, including cancer treatment.


cancer therapeutics

Treatment for cancer

Clinical: Biopharmaceutical
Medicine / Oncology

Cancer therapeutics are medications or therapies designed to treat and manage cancer. They work by targeting specific cancer cells or pathways to inhibit growth and spread.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:42:14
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:42:14
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 24,563 786,016 AMD
2 12TH GEN CORE I9-12900K 24 27,270 654,480 Intel
3 RYZEN 7 7700X 8-CORE 16 37,602 601,632 AMD
4 RYZEN 9 7950X 16-CORE 32 16,669 533,408 AMD
5 RYZEN 9 5950X 16-CORE 32 16,459 526,688 AMD
6 RYZEN 7 5800X 8-CORE 16 30,211 483,376 AMD
7 RYZEN 7 5700X 8-CORE 16 30,165 482,640 AMD
8 RYZEN 5 7600 6-CORE 12 39,518 474,216 AMD
9 RYZEN 7 5700G 16 28,363 453,808 AMD
10 RYZEN 9 5900X 12-CORE 24 18,343 440,232 AMD
11 RYZEN 7 5800X3D 8-CORE 16 27,471 439,536 AMD
12 11TH GEN CORE I7-11700K @ 3.60GHZ 16 24,148 386,368 Intel
13 RYZEN 5 7600X 6-CORE 12 31,346 376,152 AMD
14 XEON CPU E5-2680 V3 @ 2.50GHZ 24 13,498 323,952 Intel
15 RYZEN 7 3800X 8-CORE 16 19,890 318,240 AMD
16 12TH GEN CORE I7-12700K 20 15,128 302,560 Intel
17 RYZEN 9 5900 12-CORE 24 12,041 288,984 AMD
18 CORE I9-10900X CPU @ 3.70GHZ 20 14,305 286,100 Intel
19 CORE I9-10850K CPU @ 3.60GHZ 20 14,149 282,980 Intel
20 RYZEN 9 3900X 12-CORE 24 11,677 280,248 AMD
21 RYZEN 5 5600X 6-CORE 12 22,733 272,796 AMD
22 RYZEN 5 PRO 5650G 12 20,496 245,952 AMD
23 CORE I9-9900K CPU @ 3.60GHZ 16 14,968 239,488 Intel
24 RYZEN 5 5600G 12 19,143 229,716 AMD
25 XEON CPU E5-2690 V4 @ 2.60GHZ 28 7,727 216,356 Intel
26 RYZEN THREADRIPPER 3960X 24-CORE 48 4,336 208,128 AMD
27 CORE I7-10700K CPU @ 3.80GHZ 16 12,389 198,224 Intel
28 CORE I7-9700K CPU @ 3.60GHZ 8 24,699 197,592 Intel
29 RYZEN 5 5600 6-CORE 12 15,943 191,316 AMD
30 APPLE M1 MAX 10 17,974 179,740 Apple
31 RYZEN 7 PRO 4750G 16 10,302 164,832 AMD
32 RYZEN 7 2700X EIGHT-CORE 16 10,280 164,480 AMD
33 RYZEN 7 3700X 8-CORE 16 10,248 163,968 AMD
34 12TH GEN CORE I3-12100F 8 19,172 153,376 Intel
35 CORE I7-8700K CPU @ 3.70GHZ 12 12,114 145,368 Intel
36 XEON GOLD 6128 CPU @ 3.40GHZ 12 12,014 144,168 Intel
37 CORE I7-8700 CPU @ 3.20GHZ 12 11,953 143,436 Intel
38 RYZEN 5 3600 6-CORE 12 11,946 143,352 AMD
39 CORE I5-9600K CPU @ 3.70GHZ 6 22,587 135,522 Intel
40 11TH GEN CORE I9-11900F @ 2.50GHZ 16 8,321 133,136 Intel
41 XEON CPU E5-2650 V2 @ 2.60GHZ 32 3,736 119,552 Intel
42 11TH GEN CORE I5-11400 @ 2.60GHZ 12 9,508 114,096 Intel
43 CORE I7-7700K CPU @ 4.20GHZ 8 14,170 113,360 Intel
44 RYZEN 5 2600X SIX-CORE 12 9,347 112,164 AMD
45 RYZEN 5 1600 SIX-CORE 12 8,979 107,748 AMD
46 CORE I5-10400 CPU @ 2.90GHZ 12 8,137 97,644 Intel
47 CORE I7-10700T CPU @ 2.00GHZ 16 6,031 96,496 Intel
48 CORE I7-8705G CPU @ 3.10GHZ 8 10,952 87,616 Intel
49 CORE I3-10100 CPU @ 3.60GHZ 8 10,553 84,424 Intel
50 CORE I7-5600U CPU @ 2.60GHZ 4 19,206 76,824 Intel
51 CORE I5-9500T CPU @ 2.20GHZ 6 12,435 74,610 Intel
52 CORE I5-8600T CPU @ 2.30GHZ 6 11,981 71,886 Intel
53 XEON CPU E3-1270 V5 @ 3.60GHZ 8 8,861 70,888 Intel
54 CORE I9-8950HK CPU @ 2.90GHZ 12 5,886 70,632 Intel
55 EPYC 7251 8-CORE 16 4,376 70,016 AMD
56 CORE I7-6700K CPU @ 4.00GHZ 8 8,739 69,912 Intel
57 CORE I7-4770K CPU @ 3.50GHZ 8 8,689 69,512 Intel
58 XEON CPU E5-2680 0 @ 2.70GHZ 16 4,340 69,440 Intel
59 APPLE M1 8 8,438 67,504 Apple
60 CORE I7-10750H CPU @ 2.60GHZ 12 4,929 59,148 Intel
61 CORE I7-5820K CPU @ 3.30GHZ 12 4,826 57,912 Intel
62 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,079 56,632 Intel
63 CORE I7-7700HQ CPU @ 2.80GHZ 8 6,199 49,592 Intel
64 CORE I7-3770 CPU @ 3.40GHZ 8 5,927 47,416 Intel
65 APPLE M1 PRO 10 4,734 47,340 Apple
66 CORE I5-10210U CPU @ 1.60GHZ 7 5,867 41,069 Intel
67 CORE I7-8665U CPU @ 1.90GHZ 8 4,762 38,096 Intel
68 11TH GEN CORE I7-1185G7 @ 3.00GHZ 8 4,321 34,568 Intel
69 XEON CPU W3550 @ 3.07GHZ 8 3,550 28,400 Intel
70 XEON CPU E31245 @ 3.30GHZ 8 3,530 28,240 Intel