RESEARCH: CANCER
FOLDING PROJECT #18457 PROFILE

PROJECT TEAM

Manager(s): Prof. Vincent Voelz
Institution: Temple University

WORK UNIT INFO

Atoms: 12,121
Core: 0xa8
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project relates to designing drugs that target a protein called GABARAP. Researchers created special peptides (small chains of amino acids) that stick tightly to GABARAP, blocking its function in cells. By understanding how these peptides work, scientists hope to develop new cancer treatments.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

GABARAP (Gamma-aminobutyric acid receptor-associated protein) is a protein receptor involved in pathways that regulate autophagy, a type of cell degradation.

The Kritzer lab has recently developed stapled peptide inhibitors that strongly bind to GABARAP and its closely related protein receptor LC3 (Brown 2022).

These simulations are designed to examine the roles that peptide sequence and conformational preorganization in solution play in determining binding affinity.

This work will help us understand better ways of performing molecular simulation-based molecular design, with applications toward cancer therapeutics. Reference Brown, Hawley, Mia Chung, Alina Üffing, Nefeli Batistatou, Tiffany Tsang, Samantha Doskocil, Weiqun Mao, et al.

“Structure-Based Design of Stapled Peptides That Bind GABARAP and Inhibit Autophagy.” Journal of the American Chemical Society 144, no.

32 (August 17, 2022): 14687–97.

https://doi.org/10.1021/jacs.2c04699.

RELATED TERMS GLOSSARY AI BETA

Note: Glossary items are a high level summary and may not be 100% accurate.

GABARAP

Gamma-aminobutyric acid receptor-associated protein

Protein Receptor: Pharmaceutical
Biotechnology / Drug Discovery

GABARAP is a protein that plays a role in autophagy, the process of cellular degradation. It's being investigated as a target for cancer therapeutics.


Autophagy

The natural process of cells breaking down and recycling their components.

Biological Process: Pharmaceutical
Biotechnology / Cellular Biology

Autophagy is a vital cellular process where cells degrade and recycle damaged parts or unnecessary materials. This helps maintain cell health and function.


Stapled Peptides

Synthetic peptides with a covalent bond between specific amino acids, increasing their stability and binding affinity.

Drug Class: Pharmaceutical
Biotechnology / Drug Discovery

Stapled peptides are engineered molecules designed to mimic natural proteins. They have potential as drugs because they can bind tightly to specific targets in the body.


LC3

Microtubule-associated protein 1 light chain 3

Protein Receptor: Pharmaceutical
Biotechnology / Drug Discovery

LC3 is a protein involved in autophagy. It plays a role in forming autophagosomes, the structures that engulf and degrade cellular components.


Molecular Simulation

Using computer models to simulate the behavior of molecules and systems.

Computational Method: Pharmaceutical
Biotechnology / Drug Discovery

Molecular simulations help researchers understand how molecules interact and behave. This information is crucial for designing new drugs and materials.


Cancer Therapeutics

Treatments aimed at preventing, controlling, or curing cancer.

Medical Treatment: Pharmaceutical
Medicine / Oncology

Cancer therapeutics are medications and therapies used to treat cancer. They can involve surgery, radiation, chemotherapy, or targeted therapies.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:50
Rank
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Model Name
Folding@Home Identifier
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Brand
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Model
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:50
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 9950X 16-CORE 32 35,213 1,126,816 AMD
2 RYZEN 9 9900X 12-CORE 24 37,355 896,520 AMD
3 RYZEN 9 7900X 12-CORE 24 33,409 801,816 AMD
4 RYZEN 9 5950X 16-CORE 32 24,506 784,192 AMD
5 CORE ULTRA 7 265K 20 35,308 706,160 Intel
6 APPLE M4 PRO 14 48,626 680,764 Apple
7 RYZEN 9 7900 12-CORE 24 28,036 672,864 AMD
8 XEON W-3245 CPU @ 3.20GHZ 32 19,569 626,208 Intel
9 RYZEN 7 5800X3D 8-CORE 16 35,847 573,552 AMD
10 RYZEN 7 7800X3D 8-CORE 16 34,540 552,640 AMD
11 RYZEN 7 5800X 8-CORE 16 29,699 475,184 AMD
12 12TH GEN CORE I7-12700 20 21,731 434,620 Intel
13 RYZEN THREADRIPPER 3960X 24-CORE 48 8,812 422,976 AMD
14 RYZEN 7 5700X 8-CORE 16 23,638 378,208 AMD
15 12TH GEN CORE I7-12700F 20 17,833 356,660 Intel
16 RYZEN 7 5700G 16 21,923 350,768 AMD
17 CORE I9-10900X CPU @ 3.70GHZ 20 15,702 314,040 Intel
18 RYZEN 9 3900X 12-CORE 24 12,572 301,728 AMD
19 13TH GEN CORE I9-13900KS 32 9,428 301,696 Intel
20 RYZEN 9 3950X 16-CORE 32 9,348 299,136 AMD
21 RYZEN THREADRIPPER 2950X 16-CORE 32 6,933 221,856 AMD
22 RYZEN 5 5600 6-CORE 12 16,383 196,596 AMD
23 CORE I7-6900K CPU @ 3.20GHZ 16 11,820 189,120 Intel
24 XEON CPU E5-2680 V2 @ 2.80GHZ 40 4,130 165,200 Intel
25 CORE I7-5820K CPU @ 3.30GHZ 12 12,286 147,432 Intel
26 CORE I7-7700K CPU @ 4.20GHZ 8 17,176 137,408 Intel
27 CORE I9-8950HK CPU @ 2.90GHZ 12 11,100 133,200 Intel
28 CORE I7-8705G CPU @ 3.10GHZ 8 16,242 129,936 Intel
29 CORE I7-8700 CPU @ 3.20GHZ 12 10,447 125,364 Intel
30 CORE I7-6700K CPU @ 4.00GHZ 8 15,113 120,904 Intel
31 XEON CPU E3-1270 V5 @ 3.60GHZ 8 12,763 102,104 Intel
32 APPLE M1 8 10,286 82,288 Apple
33 CORE I5-6500 CPU @ 3.20GHZ 4 19,067 76,268 Intel
34 CORE I7-4930K CPU @ 3.40GHZ 12 5,845 70,140 Intel
35 CORE I5-4590 CPU @ 3.30GHZ 4 10,699 42,796 Intel
36 CORE I5-9300H CPU @ 2.40GHZ 8 3,691 29,528 Intel
37 CORE I7-7600U CPU @ 2.80GHZ 4 7,358 29,432 Intel
38 12TH GEN CORE I5-12600K 16 1,632 26,112 Intel
39 CORE I3-4160T CPU @ 3.10GHZ 4 3,820 15,280 Intel
40 CORE I5-3330 CPU @ 3.00GHZ 4 3,334 13,336 Intel
41 CORE I7-14650HX 24 404 9,696 Intel
42 APPLE M2 PRO 10 Apple