RESEARCH: CANCER
FOLDING PROJECT #16987 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 tiny proteins fold into specific shapes. By changing the connections and building blocks of these proteins, researchers hope to design better cancer treatments that latch onto and destroy 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

A type of protein secondary structure.

Technical: Medicine, Biotechnology
Biotechnology / Protein Structure

An alpha-helix is a common shape found in proteins where the polypeptide chain coils into a spiral. This shape is stabilized by hydrogen bonds between amino acids.


disulfide cross-linkers

Covalent bonds between cysteine amino acids.

Technical: Medicine, Biotechnology
Biotechnology / Protein Structure

Disulfide cross-linkers are chemical bonds that form between two sulfur atoms in cysteine amino acids. They help stabilize protein structure by holding different parts of the protein together.


sequence variants

Variations in the DNA sequence of a gene.

Technical: Medicine, Biotechnology
Biotechnology / Genetic Engineering

Sequence variants are changes in the order of nucleotides within a gene. These variations can lead to different protein structures and functions.


folding thermodynamics

The study of energy changes during protein folding.

Technical: Medicine, Biotechnology
Biotechnology / Protein Structure

Folding thermodynamics examines the energy required for a protein to fold into its correct shape. This information helps us understand how proteins fold and why some misfold.


kinetics

The rate of a chemical reaction.

Technical: Medicine, Biotechnology
Biotechnology / Protein Folding

Kinetics studies how fast reactions occur. In the context of protein folding, kinetics examines the speed at which proteins transition between different shapes.


protein binder scaffolds

Structures that bind to specific proteins.

Technical: Medicine, Biotechnology
Biotechnology / Drug Discovery

Protein binder scaffolds are designed to interact with target proteins. They can be used in drug development to block protein activity or promote desired interactions.


affibody

A small protein binding domain.

Acronym: Medicine, Biotechnology
Biotechnology / Therapeutic Antibodies

Affibody is a type of therapeutic antibody that binds to specific targets. They are smaller than traditional antibodies and can penetrate tissues more effectively.


cancer therapeutics

Medications used to treat cancer.

Technical: Medicine, Biotechnology
Medicine / Oncology

Cancer therapeutics are drugs designed to kill or inhibit the growth of cancer cells. They can target specific pathways involved in cancer development.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:42:11
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:42:11
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 CORE I9-14900K 32 26,749 855,968 Intel
2 RYZEN 7 5800X 8-CORE 16 39,115 625,840 AMD
3 RYZEN 9 5950X 16-CORE 32 15,802 505,664 AMD
4 RYZEN 7 5700X 8-CORE 16 31,034 496,544 AMD
5 12TH GEN CORE I7-12700K 20 21,738 434,760 Intel
6 RYZEN 9 5900X 12-CORE 24 16,044 385,056 AMD
7 RYZEN 9 3950X 16-CORE 32 11,394 364,608 AMD
8 RYZEN 9 3900XT 12-CORE 24 14,289 342,936 AMD
9 RYZEN 7 5800X3D 8-CORE 16 20,802 332,832 AMD
10 RYZEN 7 3800X 8-CORE 16 20,798 332,768 AMD
11 CORE I9-10850K CPU @ 3.60GHZ 20 15,839 316,780 Intel
12 CORE I9-10900X CPU @ 3.70GHZ 20 14,184 283,680 Intel
13 RYZEN 9 3900X 12-CORE 24 10,418 250,032 AMD
14 RYZEN 7 3700X 8-CORE 16 15,432 246,912 AMD
15 CORE I9-9900K CPU @ 3.60GHZ 16 15,300 244,800 Intel
16 CORE I7-8700 CPU @ 3.20GHZ 12 19,020 228,240 Intel
17 XEON CPU E5-2690 V4 @ 2.60GHZ 28 6,865 192,220 Intel
18 XEON CPU E5-2680 V3 @ 2.50GHZ 24 7,463 179,112 Intel
19 CORE I7-9700 CPU @ 3.00GHZ 8 21,508 172,064 Intel
20 CORE I5-10400 CPU @ 2.90GHZ 12 11,634 139,608 Intel
21 RYZEN 5 3600 6-CORE 12 11,357 136,284 AMD
22 CORE I7-5930K CPU @ 3.50GHZ 12 9,865 118,380 Intel
23 RYZEN 5 1600 SIX-CORE 12 9,657 115,884 AMD
24 RYZEN 7 4800H 16 5,367 85,872 AMD
25 CORE I7-8705G CPU @ 3.10GHZ 8 10,480 83,840 Intel
26 RYZEN 5 2600 SIX-CORE 12 6,922 83,064 AMD
27 XEON W-10855M CPU @ 2.80GHZ 12 4,986 59,832 Intel
28 11TH GEN CORE I7-1185G7 @ 3.00GHZ 8 7,252 58,016 Intel
29 11TH GEN CORE I7-1165G7 @ 2.80GHZ 8 6,747 53,976 Intel
30 CORE I9-8950HK CPU @ 2.90GHZ 12 4,145 49,740 Intel