RESEARCH: CANCER
FOLDING PROJECT #16950 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 small proteins fold into specific shapes. Scientists are using computer simulations to see how tiny chemical bridges and slight changes in the protein's code affect its folding. The goal is to learn how to design better, more effective proteins that can be used as 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

A type of protein structure characterized by a spiral shape.

Technical: Biopharmaceuticals
Biotechnology / Protein Structure

Alpha-helices are common structural motifs in proteins. They consist of a polypeptide chain that coils into a right-handed helix stabilized by hydrogen bonds between amino acids spaced four residues apart.


disulfide cross-linkers

Covalent bonds between cysteine amino acids in proteins.

Technical: Biopharmaceuticals
Biotechnology / Protein Structure

Disulfide cross-linkers are covalent bonds formed between sulfur atoms of two cysteine amino acids within a protein. These bonds contribute to the stability and folding of proteins.


sequence variants

Variations in the DNA sequence of a gene.

Technical: Biopharmaceuticals
Biotechnology / Genetic Engineering

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


folding thermodynamics

The study of energy changes associated with protein folding.

Technical: Biopharmaceuticals
Biotechnology / Protein Structure

Folding thermodynamics investigates the energy changes that occur when a protein folds into its native conformation. This involves factors such as enthalpy and entropy.


molecular simulation

Computer-based modeling of biological systems.

Technical: Biopharmaceuticals
Biotechnology / Computational Biology

Molecular simulations use computational algorithms to model the behavior of atoms and molecules. These simulations can be used to study protein folding, drug binding, and other biomolecular processes.


protein binder scaffolds

Structural frameworks for binding to target molecules.

Technical: Biopharmaceuticals
Biotechnology / Drug Discovery

Protein binder scaffolds are designed to specifically bind to target proteins or other biomolecules. These scaffolds can be used as the basis for therapeutic antibodies and other drug candidates.


affibody

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

Technical: Biopharmaceuticals
Biotechnology / Drug Discovery

Affibody is a registered trademark for a class of engineered proteins that bind tightly and specifically to their target molecules. They are used as imaging agents, therapeutic antibodies, and diagnostic tools.


cancer therapeutics

Drugs used to treat cancer.

Technical: Biopharmaceuticals
Biotechnology / Oncology

Cancer therapeutics are medications designed to kill or inhibit the growth of cancerous cells. They can work by targeting specific molecules involved in cancer cell growth and survival.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:42:46
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
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Points WU
Average
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:42:46
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 29,864 955,648 AMD
2 RYZEN 9 5950X 16-CORE 32 17,445 558,240 AMD
3 CORE I9-9980XE CPU @ 3.00GHZ 36 12,500 450,000 Intel
4 RYZEN 7 5800X 8-CORE 16 26,748 427,968 AMD
5 RYZEN 9 5900X 12-CORE 24 16,659 399,816 AMD
6 RYZEN THREADRIPPER 2970WX 24-CORE 48 8,264 396,672 AMD
7 RYZEN 9 3900XT 12-CORE 24 16,253 390,072 AMD
8 11TH GEN CORE I9-11900K @ 3.50GHZ 16 23,014 368,224 Intel
9 RYZEN 9 3900 12-CORE 24 14,123 338,952 AMD
10 CORE I9-10900KF CPU @ 3.70GHZ 20 16,401 328,020 Intel
11 RYZEN 9 3900X 12-CORE 24 13,338 320,112 AMD
12 XEON CPU E5-2680 V3 @ 2.50GHZ 24 13,132 315,168 Intel
13 CORE I9-10900X CPU @ 3.70GHZ 20 15,130 302,600 Intel
14 CORE I7-10875H CPU @ 2.30GHZ 16 18,311 292,976 Intel
15 CORE I9-7920X CPU @ 2.90GHZ 24 12,084 290,016 Intel
16 XEON CPU E5-2667 V2 @ 3.30GHZ 32 8,840 282,880 Intel
17 11TH GEN CORE I7-11700K @ 3.60GHZ 16 17,287 276,592 Intel
18 XEON CPU E5-2680 V4 @ 2.40GHZ 28 9,520 266,560 Intel
19 RYZEN 5 5600X 6-CORE 12 21,533 258,396 AMD
20 XEON CPU E5-2690 V4 @ 2.60GHZ 28 9,141 255,948 Intel
21 RYZEN 7 3700X 8-CORE 16 15,502 248,032 AMD
22 RYZEN 7 3800X 8-CORE 16 15,038 240,608 AMD
23 CORE I7-9700K CPU @ 3.60GHZ 8 29,187 233,496 Intel
24 RYZEN THREADRIPPER 3960X 24-CORE 48 4,813 231,024 AMD
25 RYZEN 5 3600X 6-CORE 12 17,227 206,724 AMD
26 CORE I7-10700K CPU @ 3.80GHZ 16 12,724 203,584 Intel
27 RYZEN THREADRIPPER 2950X 16-CORE 32 6,334 202,688 AMD
28 XEON CPU E5-2660 0 @ 2.20GHZ 32 6,042 193,344 Intel
29 RYZEN 5 3600 6-CORE 12 15,354 184,248 AMD
30 RYZEN 7 4800H 16 11,512 184,192 AMD
31 CORE I7-8700 CPU @ 3.20GHZ 12 15,285 183,420 Intel
32 RYZEN 5 PRO 4650G 12 14,756 177,072 AMD
33 11TH GEN CORE I7-11700F @ 2.50GHZ 16 10,872 173,952 Intel
34 RYZEN 5 3500 6-CORE 6 28,108 168,648 AMD
35 RYZEN 5 5600H 12 13,256 159,072 AMD
36 RYZEN 7 2700X EIGHT-CORE 16 9,881 158,096 AMD
37 RYZEN THREADRIPPER 1920X 12-CORE 24 6,129 147,096 AMD
38 CORE I7-10700 CPU @ 2.90GHZ 16 8,941 143,056 Intel
39 CORE I7-10870H CPU @ 2.20GHZ 16 8,718 139,488 Intel
40 XEON CPU E5-2690 V2 @ 3.00GHZ 20 6,564 131,280 Intel
41 CORE I7-9700T CPU @ 2.00GHZ 8 16,316 130,528 Intel
42 CORE I5-9400F CPU @ 2.90GHZ 6 20,841 125,046 Intel
43 RYZEN 7 1700 EIGHT-CORE 16 7,476 119,616 AMD
44 11TH GEN CORE I5-11400 @ 2.60GHZ 12 9,695 116,340 Intel
45 CORE I5-10400F CPU @ 2.90GHZ 12 9,628 115,536 Intel
46 EPYC 7571 32-CORE 64 1,772 113,408 AMD
47 RYZEN 5 1600 SIX-CORE 12 8,738 104,856 AMD
48 XEON CPU E5-2620 V2 @ 2.10GHZ 24 4,079 97,896 Intel
49 RYZEN 5 2600 SIX-CORE 12 7,761 93,132 AMD
50 CORE I7-1068NG7 CPU @ 2.30GHZ 8 11,358 90,864 Intel
51 CORE I5-8400 CPU @ 2.80GHZ 6 14,359 86,154 Intel
52 CORE I7-6700K CPU @ 4.00GHZ 8 10,700 85,600 Intel
53 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 8,956 71,648 Intel
54 XEON CPU E5-2690 V3 @ 2.60GHZ 12 5,596 67,152 Intel
55 CORE I7-3840QM CPU @ 2.80GHZ 8 8,271 66,168 Intel
56 CORE I7-8550U CPU @ 1.80GHZ 8 7,211 57,688 Intel
57 XEON W-10855M CPU @ 2.80GHZ 12 4,289 51,468 Intel
58 CORE I7-3770 CPU @ 3.40GHZ 8 6,162 49,296 Intel
59 XEON CPU E5-2678 V3 @ 2.50GHZ 6 7,482 44,892 Intel
60 CORE I7-8565U CPU @ 1.80GHZ 8 5,445 43,560 Intel
61 CORE I7-3610QM CPU @ 2.30GHZ 8 4,073 32,584 Intel
62 CORE I7-4770K CPU @ 3.50GHZ 8 3,754 30,032 Intel
63 FX-8320 EIGHT-CORE 8 2,381 19,048 AMD
64 RYZEN 5 3500U 8 AMD