RESEARCH: CANCER
FOLDING PROJECT #12444 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 33,700
Core: 0xa8
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at how tiny molecules can block a protein called GABARAP. This protein is involved in recycling parts of cells and might be a target for cancer treatment. Researchers are using computer simulations to design better molecules that can attach to GABARAP more effectively.

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

OFFICAL PROJECT DESCRIPTION

GABARAP (gamma-aminobutyric acid receptor-associated protein) plays an important role in autophagy, the process by which cytosolic material is transported to cellular compartments called lysosomes for degradation.

It is also a target for cancer therapy: inhibiting the function of GABARAP can help sensitize cancer cells to chemotherapy.

The Kritzer lab at Tufts University has developed stapled peptide inhibitors of LC3 and GABARAP proteins (Brown et al.

2022).

We are using molecular simulation and free energy approaches to understand how peptide sequence and the staple linker chemistry control the affinity and selectivity of these peptide binders, both through their interactions at the protein surface, but also through the extent of peptide preorganization in solution.

Our long-term goal is to use these methods to improve the affinity and bioavailability of conformationally constrained peptides through N-methylation and other non-natural modifications. 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.


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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: Pharmaceuticals
Biotechnology / Drug Discovery

GABARAP is a protein involved in autophagy, the process of breaking down cellular material. It's also a target for cancer therapy, as inhibiting GABARAP can make cancer cells more sensitive to chemotherapy.


Autophagy

The natural process of cellular degradation and recycling.

Biological Process: Pharmaceuticals
Biotechnology / Cellular Biology

Autophagy is a crucial cellular process where old or damaged components are broken down and recycled. This helps maintain cell health and function. It's also involved in immune responses and protecting against disease.


Lysosomes

Membrane-bound organelles within cells responsible for breaking down waste materials and cellular debris.

Cellular Component: Pharmaceuticals
Biotechnology / Cellular Biology

Lysosomes are like the recycling centers of cells. They contain enzymes that break down various substances, including worn-out organelles, engulfed bacteria, and cellular waste products.


Cancer Therapy

Medical treatments aimed at preventing, controlling, or curing cancer.

Treatment: Pharmaceuticals
Medicine / Oncology

Cancer therapy encompasses various approaches to treat cancer, including surgery, chemotherapy, radiation therapy, and immunotherapy. The goal is to eliminate or control cancerous cells while minimizing harm to healthy tissues.


Stapled Peptides

A type of synthetic peptide stabilized by a covalent bond between two amino acids.

Biomolecule: Pharmaceuticals
Biotechnology / Drug Discovery

Stapled peptides are engineered proteins designed to be more stable and have improved binding properties. They are being explored as potential therapeutics due to their ability to target specific proteins.


Molecular Simulation

Computer-based modeling and analysis of molecular systems.

Research Method: Pharmaceuticals
Biotechnology / Computational Biology

Molecular simulation uses computational techniques to simulate the behavior of molecules and their interactions. This helps researchers understand complex biological processes and design new drugs and materials.


Free Energy Approaches

Methods used to calculate the thermodynamic stability of molecular systems.

Research Method: Pharmaceuticals
Biotechnology / Computational Chemistry

Free energy approaches are computational techniques used to determine the stability and feasibility of chemical reactions and molecular interactions. This information is essential for drug design and understanding biological processes.


N-Methylation

The addition of a methyl group to the nitrogen atom of an amino acid.

Chemical Modification: Pharmaceuticals
Biotechnology / Drug Development

N-methylation is a common chemical modification used in drug development to alter the properties and activity of molecules. It can affect solubility, stability, and target binding.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:34:26
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 Tuesday, 14 April 2026 06:34:26
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN THREADRIPPER 3990X 64-CORE 64 21,826 1,396,864 AMD
2 12TH GEN CORE I9-12900K 24 46,588 1,118,112 Intel
3 RYZEN THREADRIPPER 3960X 24-CORE 48 18,931 908,688 AMD
4 RYZEN 9 7950X 16-CORE 32 27,091 866,912 AMD
5 RYZEN 9 7900X 12-CORE 24 34,527 828,648 AMD
6 CORE I9-14900K 32 25,474 815,168 Intel
7 RYZEN 9 5950X 16-CORE 32 18,731 599,392 AMD
8 RYZEN 7 7800X3D 8-CORE 16 34,745 555,920 AMD
9 RYZEN 9 7900 12-CORE 24 22,517 540,408 AMD
10 RYZEN 7 7700X 8-CORE 16 32,120 513,920 AMD
11 RYZEN 7 5800X 8-CORE 16 29,272 468,352 AMD
12 RYZEN 7 7840HS W/ RADEON 780M GRAPHICS 16 29,006 464,096 AMD
13 RYZEN 5 7600 6-CORE 12 38,580 462,960 AMD
14 RYZEN 7 3800X 8-CORE 16 27,515 440,240 AMD
15 RYZEN 9 3900X 12-CORE 24 16,871 404,904 AMD
16 CORE I9-10900K CPU @ 3.70GHZ 20 20,136 402,720 Intel
17 RYZEN 7 5700G 16 24,733 395,728 AMD
18 RYZEN 7 5800X3D 8-CORE 16 24,016 384,256 AMD
19 RYZEN 5 5500 12 28,179 338,148 AMD
20 CORE I7-10700K CPU @ 3.80GHZ 16 20,657 330,512 Intel
21 RYZEN 7 5700X 8-CORE 16 19,988 319,808 AMD
22 CORE I7-7820X CPU @ 3.60GHZ 16 17,682 282,912 Intel
23 RYZEN 5 5600 6-CORE 12 22,991 275,892 AMD
24 12TH GEN CORE I5-12400 12 21,471 257,652 Intel
25 RYZEN 7 3700X 8-CORE 16 14,427 230,832 AMD
26 XEON GOLD 5120 CPU @ 2.20GHZ 28 7,736 216,608 Intel
27 13TH GEN CORE I5-13600K 14 14,790 207,060 Intel
28 RYZEN 5 5600X 6-CORE 12 16,772 201,264 AMD
29 CORE I9-9900K CPU @ 3.60GHZ 16 11,387 182,192 Intel
30 13TH GEN CORE I7-13700 24 7,328 175,872 Intel
31 CORE I7-8700K CPU @ 3.70GHZ 12 13,906 166,872 Intel
32 CORE I7-5930K CPU @ 3.50GHZ 12 13,202 158,424 Intel
33 CORE I7-7700K CPU @ 4.20GHZ 8 19,783 158,264 Intel
34 APPLE M2 8 17,892 143,136 Apple
35 CORE I9-8950HK CPU @ 2.90GHZ 12 11,156 133,872 Intel
36 11TH GEN CORE I7-11700F @ 2.50GHZ 16 8,245 131,920 Intel
37 13TH GEN CORE I7-13700K 24 4,973 119,352 Intel
38 CORE I7-10700T CPU @ 2.00GHZ 16 6,829 109,264 Intel
39 RYZEN 5 3600 6-CORE 12 8,046 96,552 AMD
40 CORE I7-9750H CPU @ 2.60GHZ 12 7,367 88,404 Intel
41 CORE I7-8700T CPU @ 2.40GHZ 12 7,085 85,020 Intel
42 CORE I7-6700K CPU @ 4.00GHZ 8 9,971 79,768 Intel
43 APPLE M2 PRO 10 7,166 71,660 Apple
44 CORE I7-4770HQ CPU @ 2.20GHZ 8 8,309 66,472 Intel
45 CORE I5-6600 CPU @ 3.30GHZ 4 16,452 65,808 Intel
46 APPLE M1 PRO 10 5,619 56,190 Apple
47 CORE I3-8100 CPU @ 3.60GHZ 4 12,533 50,132 Intel
48 CORE I5-6500T CPU @ 2.50GHZ 4 12,206 48,824 Intel
49 CORE I5-4590 CPU @ 3.30GHZ 4 9,996 39,984 Intel
50 11TH GEN CORE I7-1185G7 @ 3.00GHZ 8 4,909 39,272 Intel
51 CORE I5-3470S CPU @ 2.90GHZ 4 8,671 34,684 Intel
52 CORE I7-8665U CPU @ 1.90GHZ 8 4,158 33,264 Intel
53 APPLE M3 8 3,849 30,792 Apple
54 CORE I5-9300H CPU @ 2.40GHZ 8 3,197 25,576 Intel
55 CORE I7-7600U CPU @ 2.80GHZ 4 6,239 24,956 Intel
56 CORE I5-2500K CPU @ 3.30GHZ 4 5,600 22,400 Intel
57 CORE I5-4210U CPU @ 1.70GHZ 4 4,978 19,912 Intel
58 CORE I3-4160T CPU @ 3.10GHZ 4 4,710 18,840 Intel
59 CORE I7 CPU 975 @ 3.33GHZ 8 1,663 13,304 Intel
60 CORE I7-14650HX 24 491 11,784 Intel
61 CORE I5-3210M CPU @ 2.50GHZ 4 2,620 10,480 Intel
62 CORE2 QUAD CPU Q6600 @ 2.40GHZ 4 1,274 5,096 Intel
63 XEON CPU @ 2.20GHZ 1 4,283 4,283 Intel
64 ATOM(TM) CPU Z3770 @ 1.46GHZ 4 392 1,568 Intel
65 CORE2 DUO CPU E6550 @ 2.33GHZ 2 686 1,372 Intel