RESEARCH: CANCER
FOLDING PROJECT #16990 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 into specific shapes. By studying how chemical bonds and slight changes in the protein's code affect its folding, researchers hope to design better 'affibody' cancer drugs that bind specifically to tumor 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.

Scientific: Pharmaceutical Research
Biotechnology / Structural Biology

Alpha-helical hairpins are short segments of proteins that form a specific 3D shape resembling a hairpin. They are important for many biological functions and can be used to design new drugs.


disulfide cross-linkers

Covalent bonds between cysteine amino acids in proteins.

Scientific: Pharmaceutical Research
Biotechnology / Protein Engineering

Disulfide cross-linkers are chemical bonds that connect two cysteine amino acids within a protein. They help stabilize the protein's structure and can influence its function.


sequence variants

Changes in the DNA sequence of a gene.

Scientific: Pharmaceutical Research
Biotechnology / Genetics

Sequence variants are alterations in the order of DNA building blocks (nucleotides) within a gene. These variations can lead to changes in protein structure and function.


protein binder scaffolds

Structural framework for binding to target molecules.

Scientific: Pharmaceutical Research
Biotechnology / Drug Discovery

Protein binder scaffolds are designed protein structures that can bind specifically to target molecules, such as disease-causing proteins. They are used in drug development to create therapeutic agents.


affibody

A type of engineered protein that binds to specific targets.

Acronym: Pharmaceutical Research
Biotechnology / Drug Discovery

Affibody is a trademark name for a class of small, engineered proteins designed to bind to specific targets with high affinity. They are being investigated as potential therapeutic agents in various diseases.


cancer therapeutics

Drugs used to treat cancer.

Technical: Pharmaceutical Research
Medicine / Oncology

Cancer therapeutics are medications developed to treat and manage various types of cancer. They work by targeting and destroying cancer cells or inhibiting their growth.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:42:06
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 00:42:06
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 7 5700G 16 42,149 674,384 AMD
2 CORE I9-14900K 32 20,855 667,360 Intel
3 RYZEN 7 5800X 8-CORE 16 40,559 648,944 AMD
4 RYZEN 9 3950X 16-CORE 32 19,720 631,040 AMD
5 RYZEN 7 5800X3D 8-CORE 16 37,260 596,160 AMD
6 RYZEN 9 7900X 12-CORE 24 22,156 531,744 AMD
7 12TH GEN CORE I7-12700K 20 26,431 528,620 Intel
8 RYZEN 5 7600 6-CORE 12 44,016 528,192 AMD
9 RYZEN 7 5700X 8-CORE 16 29,485 471,760 AMD
10 RYZEN 9 5950X 16-CORE 32 13,555 433,760 AMD
11 11TH GEN CORE I9-11900K @ 3.50GHZ 16 24,034 384,544 Intel
12 11TH GEN CORE I7-11700K @ 3.60GHZ 16 22,942 367,072 Intel
13 RYZEN 7 3800X 8-CORE 16 22,249 355,984 AMD
14 RYZEN 5 5600 6-CORE 12 24,445 293,340 AMD
15 CORE I9-10850K CPU @ 3.60GHZ 20 12,637 252,740 Intel
16 CORE I9-10900X CPU @ 3.70GHZ 20 12,575 251,500 Intel
17 XEON CPU E5-2690 V4 @ 2.60GHZ 28 8,972 251,216 Intel
18 XEON CPU E5-2680 V3 @ 2.50GHZ 24 9,946 238,704 Intel
19 CORE I7-8700 CPU @ 3.20GHZ 12 19,871 238,452 Intel
20 RYZEN 9 5900HS 16 13,695 219,120 AMD
21 CORE I9-9900 CPU @ 3.10GHZ 16 13,448 215,168 Intel
22 RYZEN 5 5600X 6-CORE 12 17,287 207,444 AMD
23 RYZEN 7 3700X 8-CORE 16 11,630 186,080 AMD
24 RYZEN 7 PRO 4750G 16 11,312 180,992 AMD
25 RYZEN 5 3600 6-CORE 12 14,387 172,644 AMD
26 CORE I7-10700 CPU @ 2.90GHZ 16 10,649 170,384 Intel
27 RYZEN 7 2700X EIGHT-CORE 16 10,587 169,392 AMD
28 11TH GEN CORE I7-11800H @ 2.30GHZ 16 10,480 167,680 Intel
29 CORE I5-10400 CPU @ 2.90GHZ 12 12,702 152,424 Intel
30 CORE I7-8700K CPU @ 3.70GHZ 12 12,398 148,776 Intel
31 XEON CPU E5-2698 V4 @ 2.20GHZ 16 5,675 90,800 Intel
32 CORE I9-8950HK CPU @ 2.90GHZ 12 7,534 90,408 Intel
33 CORE I7-8705G CPU @ 3.10GHZ 8 10,986 87,888 Intel
34 CORE I7-6700K CPU @ 4.00GHZ 8 10,956 87,648 Intel
35 RYZEN 5 1600 SIX-CORE 12 7,227 86,724 AMD
36 EPYC 7251 8-CORE 16 4,753 76,048 AMD
37 APPLE M1 8 9,174 73,392 Apple
38 11TH GEN CORE I7-11370H @ 3.30GHZ 8 8,943 71,544 Intel
39 XEON CPU E5-2680 0 @ 2.70GHZ 16 4,396 70,336 Intel
40 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,698 61,584 Intel
41 CORE I7-6700 CPU @ 3.40GHZ 8 7,186 57,488 Intel
42 CORE I3-10100 CPU @ 3.60GHZ 8 6,930 55,440 Intel
43 APPLE M3 8 6,494 51,952 Apple
44 CORE I7-7700HQ CPU @ 2.80GHZ 8 5,888 47,104 Intel
45 XEON CPU E3-1245 V2 @ 3.40GHZ 8 5,840 46,720 Intel
46 CORE I7-10610U CPU @ 1.80GHZ 8 5,299 42,392 Intel
47 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 5,288 42,304 Intel
48 CORE I7-4770K CPU @ 3.50GHZ 8 4,865 38,920 Intel
49 CORE I5-8259U CPU @ 2.30GHZ 8 4,805 38,440 Intel
50 11TH GEN CORE I7-1165G7 @ 2.80GHZ 8 3,704 29,632 Intel
51 XEON CPU E31245 @ 3.30GHZ 8 3,618 28,944 Intel
52 CORE I5-9300H CPU @ 2.40GHZ 8 2,971 23,768 Intel
53 CORE I7-2760QM CPU @ 2.40GHZ 8 2,885 23,080 Intel