RESEARCH: CANCER
FOLDING PROJECT #16988 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 changing the protein's building blocks and adding special links, scientists can see how these changes affect the folding process. The goal is to learn how to design proteins that bind to specific targets, like cancer cells, which could lead to new 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 hairpins

A secondary structure in proteins characterized by a helix shape.

Technical: Pharmaceutical Research
Biotechnology / Protein Structure

Alpha-helical hairpins are small, stable protein structures that form when a polypeptide chain curls into a spiral shape. These structures are important for many biological processes, including protein folding and function.


disulfide cross-linkers

Covalent bonds formed between cysteine amino acids in proteins.

Technical: Pharmaceutical Research
Biotechnology / Protein Chemistry

Disulfide cross-linkers are strong chemical bonds that can stabilize the structure of proteins. They are formed when two sulfur atoms from cysteine amino acids react with each other. These bonds are important for the function and stability of many proteins.


sequence variants

Variations in the DNA sequence of a gene.

Technical: Pharmaceutical Research
Biotechnology / Genetic Engineering

Sequence variants are changes in the order of nucleotides in a DNA sequence. These variations can lead to differences in protein structure and function.


folding thermodynamics

The study of the energy changes involved in protein folding.

Technical: Pharmaceutical Research
Biotechnology / Protein Folding

Folding thermodynamics explores the energy relationships that govern how proteins fold into their specific three-dimensional shapes. This field is crucial for understanding protein function and designing new drugs.


molecular simulation

Computer-based methods used to model and simulate biological processes.

Technical: Pharmaceutical Research
Biotechnology / Computational Biology

Molecular simulations use mathematical models to mimic the behavior of atoms and molecules in a system. This allows researchers to study complex biological processes at the atomic level.


protein binder scaffolds

Structural frameworks used to design proteins that bind to specific targets.

Technical: Pharmaceutical Research
Biotechnology / Drug Design

Protein binder scaffolds are designed to provide a framework for developing proteins that can specifically bind to target molecules. This technology is crucial for designing new drugs and therapies.


affibody

A small, engineered protein domain that binds to specific targets with high affinity.

Acronym: Pharmaceutical Research
Biotechnology / Antibody Engineering

Affibody is a type of engineered protein that acts as a miniature antibody. It binds tightly to specific targets, making it useful for various applications, such as drug delivery and diagnostics.


cancer therapeutics

Medications used to treat cancer.

Technical: Pharmaceutical Research
Biotechnology / Oncology

Cancer therapeutics encompass a wide range of medications designed to combat cancer cells. These treatments aim to kill cancer cells, slow their growth, or prevent them from spreading.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:42:09
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:42:09
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 32,308 1,033,856 AMD
2 RYZEN 9 7950X 16-CORE 32 29,807 953,824 AMD
3 RYZEN 7 7700X 8-CORE 16 42,923 686,768 AMD
4 RYZEN 7 5800X 8-CORE 16 37,387 598,192 AMD
5 RYZEN 7 5700X 8-CORE 16 26,455 423,280 AMD
6 11TH GEN CORE I9-11900K @ 3.50GHZ 16 25,622 409,952 Intel
7 RYZEN 7 3800X 8-CORE 16 21,701 347,216 AMD
8 RYZEN 9 5900X 12-CORE 24 14,141 339,384 AMD
9 RYZEN 9 5950X 16-CORE 32 10,348 331,136 AMD
10 RYZEN 7 5700G 16 20,321 325,136 AMD
11 XEON CPU E5-2680 V3 @ 2.50GHZ 24 13,417 322,008 Intel
12 CORE I9-10885H CPU @ 2.40GHZ 16 18,940 303,040 Intel
13 CORE I9-10900X CPU @ 3.70GHZ 20 14,844 296,880 Intel
14 RYZEN 5 5600X 6-CORE 12 24,398 292,776 AMD
15 11TH GEN CORE I5-11600K @ 3.90GHZ 12 23,089 277,068 Intel
16 CORE I9-9900K CPU @ 3.60GHZ 16 15,988 255,808 Intel
17 12TH GEN CORE I5-12400 12 20,849 250,188 Intel
18 CORE I7-8700 CPU @ 3.20GHZ 12 20,155 241,860 Intel
19 XEON CPU E5-2690 V4 @ 2.60GHZ 28 6,964 194,992 Intel
20 RYZEN 5 3600 6-CORE 12 14,364 172,368 AMD
21 RYZEN 7 PRO 4750G 16 10,108 161,728 AMD
22 CORE I5-9600KF CPU @ 3.70GHZ 6 26,884 161,304 Intel
23 CORE I5-10400 CPU @ 2.90GHZ 12 11,159 133,908 Intel
24 XEON CPU E5-2650 V2 @ 2.60GHZ 32 4,144 132,608 Intel
25 RYZEN 5 2600 SIX-CORE 12 8,520 102,240 AMD
26 CORE I7-5820K CPU @ 3.30GHZ 12 8,051 96,612 Intel
27 XEON CPU E5-2620 0 @ 2.00GHZ 12 6,822 81,864 Intel
28 CORE I7-8700K CPU @ 3.70GHZ 12 6,815 81,780 Intel
29 CORE I7-6700K CPU @ 4.00GHZ 8 9,453 75,624 Intel
30 CORE I7-6700HQ CPU @ 2.60GHZ 8 9,108 72,864 Intel
31 XEON CPU E5-2680 0 @ 2.70GHZ 16 4,455 71,280 Intel
32 APPLE M1 8 7,902 63,216 Apple
33 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,422 59,376 Intel
34 RYZEN 5 3500U 8 1,743 13,944 AMD