RESEARCH: CANCER
FOLDING PROJECT #16982 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 looks at how tiny protein structures fold and how changes to their design affect how they work. The goal is to learn how to build better proteins that can attach 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

Refers to a type of protein secondary structure.

Scientific: Biotechnology
Biotechnology / Structural Biology

Alpha-helices are common structural elements in proteins. They are characterized by a right-handed coil shape formed by hydrogen bonds between amino acids.


hairpins

Small hairpin-shaped structures in proteins or nucleic acids.

Scientific: Biotechnology
Biotechnology / Structural Biology

Hairpins are folded structures in biomolecules. They have a characteristic stem-loop shape, where a double-stranded region is followed by a loop.


disulfide cross-linkers

Covalent bonds between cysteine amino acids in proteins.

Scientific: Pharmaceutical
Biotechnology / Protein Structure

Disulfide bonds are important for stabilizing protein structures. They form between two sulfur atoms from cysteine residues.


sequence variants

Alterations in the DNA sequence that code for proteins.

Scientific: Biotechnology
Biotechnology / Protein Engineering

Sequence variants can lead to changes in protein structure and function. They are often studied to understand disease mechanisms or develop new therapies.


folding thermodynamics

The energy changes associated with protein folding.

Scientific: Biotechnology
Biotechnology / Structural Biology

Folding thermodynamics describes the stability and pathways of protein folding. It considers factors like enthalpy, entropy, and hydrogen bonding.


folding kinetics

The rates of protein folding and unfolding.

Scientific: Biotechnology
Biotechnology / Structural Biology

Folding kinetics studies the speed at which proteins fold into their correct shapes. It can be influenced by factors like temperature and chaperone proteins.


protein binder scaffolds

Structural frameworks designed to bind specific target proteins.

Scientific: Pharmaceutical
Biotechnology / Protein Engineering

Protein binder scaffolds are used in drug development to create molecules that specifically target and interact with disease-related proteins.


affibody

A type of engineered protein scaffold that binds to target antigens.

Technical: Pharmaceutical
Biotechnology / Antibody Engineering

Affibody molecules are small, stable proteins derived from staphylococcal protein A. They have high affinity and specificity for their targets.


cancer therapeutics

Medicines used to treat cancer.

Technical: Pharmaceutical
Pharmaceutical / Oncology

Cancer therapeutics aim to kill or inhibit the growth of cancerous cells. They can include chemotherapy drugs, immunotherapy agents, and targeted therapies.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:42:18
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 00:42:18
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 5950X 16-CORE 32 21,305 681,760 AMD
2 RYZEN 7 7700X 8-CORE 16 42,094 673,504 AMD
3 RYZEN 9 7900X 12-CORE 24 27,646 663,504 AMD
4 12TH GEN CORE I7-12700K 20 30,414 608,280 Intel
5 RYZEN 7 5800X 8-CORE 16 36,419 582,704 AMD
6 RYZEN 9 3950X 16-CORE 32 17,264 552,448 AMD
7 12TH GEN CORE I9-12900K 24 21,602 518,448 Intel
8 RYZEN 9 5900X 12-CORE 24 19,748 473,952 AMD
9 RYZEN 7 5700G 16 28,516 456,256 AMD
10 RYZEN 7 5800X3D 8-CORE 16 27,816 445,056 AMD
11 RYZEN 9 3900 12-CORE 24 18,309 439,416 AMD
12 RYZEN 7 5700X 8-CORE 16 26,604 425,664 AMD
13 CORE I7-7820X CPU @ 3.60GHZ 16 26,221 419,536 Intel
14 RYZEN 7 3800X 8-CORE 16 21,532 344,512 AMD
15 XEON CPU E5-2680 V3 @ 2.50GHZ 24 12,977 311,448 Intel
16 CORE I9-10900X CPU @ 3.70GHZ 20 14,763 295,260 Intel
17 RYZEN 9 3900X 12-CORE 24 12,249 293,976 AMD
18 RYZEN 5 5600 6-CORE 12 23,612 283,344 AMD
19 11TH GEN CORE I5-11600K @ 3.90GHZ 12 23,515 282,180 Intel
20 CORE I9-10850K CPU @ 3.60GHZ 20 13,447 268,940 Intel
21 11TH GEN CORE I7-11700K @ 3.60GHZ 16 14,600 233,600 Intel
22 CORE I7-8700 CPU @ 3.20GHZ 12 19,401 232,812 Intel
23 RYZEN 5 5600X 6-CORE 12 18,567 222,804 AMD
24 RYZEN 5 5600G 12 18,420 221,040 AMD
25 APPLE M1 MAX 10 21,692 216,920 Apple
26 RYZEN THREADRIPPER 3960X 24-CORE 48 4,463 214,224 AMD
27 13TH GEN CORE I7-13700 24 8,561 205,464 Intel
28 XEON CPU E5-2690 V4 @ 2.60GHZ 28 6,777 189,756 Intel
29 CORE I7-9700K CPU @ 3.60GHZ 8 23,542 188,336 Intel
30 RYZEN 7 5800H 16 11,372 181,952 AMD
31 RYZEN 7 2700X EIGHT-CORE 16 10,892 174,272 AMD
32 CORE I5-10400F CPU @ 2.90GHZ 12 14,223 170,676 Intel
33 RYZEN 5 3600 6-CORE 12 13,855 166,260 AMD
34 RYZEN 7 PRO 4750G 16 10,061 160,976 AMD
35 13TH GEN CORE I9-13900K 32 5,023 160,736 Intel
36 RYZEN 5 3500 6-CORE 6 26,655 159,930 AMD
37 RYZEN 7 3700X 8-CORE 16 9,889 158,224 AMD
38 12TH GEN CORE I9-12900H 20 7,754 155,080 Intel
39 CORE I7-9700 CPU @ 3.00GHZ 8 16,889 135,112 Intel
40 XEON CPU E5-2698 V4 @ 2.20GHZ 16 8,363 133,808 Intel
41 CORE I7-5820K CPU @ 3.30GHZ 12 10,808 129,696 Intel
42 CORE I7-7700K CPU @ 4.20GHZ 8 15,609 124,872 Intel
43 12TH GEN CORE I3-12100F 8 14,239 113,912 Intel
44 CORE I7-9750H CPU @ 2.60GHZ 12 9,414 112,968 Intel
45 CORE I5-9500 CPU @ 3.00GHZ 6 18,481 110,886 Intel
46 CORE I9-8950HK CPU @ 2.90GHZ 12 8,980 107,760 Intel
47 12TH GEN CORE I7-12700H 20 5,198 103,960 Intel
48 CORE I7-8700K CPU @ 3.70GHZ 12 8,563 102,756 Intel
49 CORE I5-10400 CPU @ 2.90GHZ 12 8,549 102,588 Intel
50 CORE I7-10700T CPU @ 2.00GHZ 16 6,353 101,648 Intel
51 11TH GEN CORE I5-11400 @ 2.60GHZ 12 7,672 92,064 Intel
52 CORE I7-8705G CPU @ 3.10GHZ 8 11,323 90,584 Intel
53 XEON CPU E3-1270 V5 @ 3.60GHZ 8 10,557 84,456 Intel
54 APPLE M1 8 9,125 73,000 Apple
55 XEON CPU E5-2680 0 @ 2.70GHZ 16 4,433 70,928 Intel
56 XEON CPU E5-1630 V3 @ 3.70GHZ 8 8,854 70,832 Intel
57 XEON CPU E5-2697 V2 @ 2.70GHZ 24 2,744 65,856 Intel
58 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,765 62,120 Intel
59 CORE I7-6700K CPU @ 4.00GHZ 8 7,248 57,984 Intel
60 CORE I7-3770 CPU @ 3.40GHZ 8 7,064 56,512 Intel
61 CORE I7-10750H CPU @ 2.60GHZ 12 4,646 55,752 Intel
62 RYZEN 5 2400G 8 6,339 50,712 AMD
63 CORE I7-4770K CPU @ 3.50GHZ 8 6,262 50,096 Intel
64 APPLE M1 PRO 10 4,882 48,820 Apple
65 XEON CPU E5-2650L V4 @ 1.70GHZ 28 1,442 40,376 Intel
66 CORE I7-7700HQ CPU @ 2.80GHZ 8 4,786 38,288 Intel
67 CORE I7-8565U CPU @ 1.80GHZ 8 4,635 37,080 Intel
68 CORE I5-8250U CPU @ 1.60GHZ 8 4,584 36,672 Intel
69 RYZEN 5 5500U 12 3,050 36,600 AMD
70 12TH GEN CORE I7-12700KF 20 1,666 33,320 Intel
71 CORE I7-3770K CPU @ 3.50GHZ 8 3,075 24,600 Intel
72 CORE I7-2760QM CPU @ 2.40GHZ 8 2,651 21,208 Intel
73 CORE I5-8350U CPU @ 1.70GHZ 8 2,025 16,200 Intel
74 CORE I5-10310U CPU @ 1.70GHZ 8 1,917 15,336 Intel