Research section Research projects and references

Research: CANCER Folding Project #12443

Project #12443 overview

Project Summary AI Beta

This project looks at how tiny proteins called peptides can block autophagy, a process where cells clean up waste. Blocking autophagy could make cancer cells more vulnerable to chemotherapy. Scientists are using computer simulations to design better peptides that stick tightly to their targets and work well in the body.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Prof. Vincent Voelz
Institution
Temple University

Work unit

Atoms
33,700
Core
0xa8
Status
Public
Source material

Official 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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Performance data

Hardware Performance for Project 12443

Compare community-sampled Folding@Home output for the GPUs and CPUs processing this project.

Data as of Sunday, 02 August 2026 22:09:16

CPU PPD Averages Beta

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN THREADRIPPER 3960X 24-CORE 48 18,853 904,944 AMD
2 12TH GEN CORE I9-12900K 24 33,892 813,408 Intel
3 RYZEN 9 7900 12-CORE 24 28,157 675,768 AMD
4 CORE I9-14900K 32 20,631 660,192 Intel
5 RYZEN 9 5950X 16-CORE 32 18,005 576,160 AMD
6 RYZEN 7 7800X3D 8-CORE 16 35,325 565,200 AMD
7 RYZEN 9 5900X 12-CORE 24 21,914 525,936 AMD
8 RYZEN 7 5800X3D 8-CORE 16 29,619 473,904 AMD
9 CORE I5-14600K 20 23,093 461,860 Intel
10 RYZEN 7 5800X 8-CORE 16 27,768 444,288 AMD
11 RYZEN 7 7700X 8-CORE 16 26,891 430,256 AMD
12 RYZEN 5 7600 6-CORE 12 35,164 421,968 AMD
13 RYZEN 7 3800X 8-CORE 16 26,166 418,656 AMD
14 RYZEN 7 5700G 16 24,223 387,568 AMD
15 RYZEN 9 3900X 12-CORE 24 16,141 387,384 AMD
16 CORE I7-10700F CPU @ 2.90GHZ 16 22,002 352,032 Intel
17 RYZEN 5 5500 12 29,142 349,704 AMD
18 12TH GEN CORE I7-12700F 20 17,176 343,520 Intel
19 CORE I7-10700K CPU @ 3.80GHZ 16 20,891 334,256 Intel
20 RYZEN 7 5700X 8-CORE 16 18,312 292,992 AMD
21 CORE I9-7920X CPU @ 2.90GHZ 24 11,548 277,152 Intel
22 RYZEN 5 5600 6-CORE 12 22,977 275,724 AMD
23 12TH GEN CORE I5-12400 12 20,196 242,352 Intel
24 12TH GEN CORE I5-12600K 16 14,287 228,592 Intel
25 13TH GEN CORE I5-13600K 14 15,694 219,716 Intel
26 CORE I7-9700 CPU @ 3.00GHZ 8 26,351 210,808 Intel
27 XEON GOLD 5120 CPU @ 2.20GHZ 28 7,203 201,684 Intel
28 RYZEN 5 5600X 6-CORE 12 15,055 180,660 AMD
29 13TH GEN CORE I7-13700 24 7,432 178,368 Intel
30 CORE I7-5930K CPU @ 3.50GHZ 12 13,677 164,124 Intel
31 CORE I7-7820X CPU @ 3.60GHZ 16 9,795 156,720 Intel
32 RYZEN 7 3700X 8-CORE 16 9,712 155,392 AMD
33 CORE I7-7700K CPU @ 4.20GHZ 8 16,832 134,656 Intel
34 CORE I9-8950HK CPU @ 2.90GHZ 12 11,182 134,184 Intel
35 CORE I7-6700K CPU @ 4.00GHZ 8 14,649 117,192 Intel
36 CORE I7-8700K CPU @ 3.70GHZ 12 9,472 113,664 Intel
37 RYZEN 7 8700G W/ RADEON 780M GRAPHICS 16 7,074 113,184 AMD
38 XEON CPU E3-1270 V5 @ 3.60GHZ 8 13,675 109,400 Intel
39 RYZEN 7 2700X EIGHT-CORE 16 6,337 101,392 AMD
40 CORE I7-10700T CPU @ 2.00GHZ 16 5,765 92,240 Intel
41 RYZEN 5 3600 6-CORE 12 7,645 91,740 AMD
42 APPLE M2 8 10,532 84,256 Apple
43 XEON CPU X5690 @ 3.47GHZ 24 3,453 82,872 Intel
44 APPLE M3 8 9,574 76,592 Apple
45 CORE I7-4770HQ CPU @ 2.20GHZ 8 9,027 72,216 Intel
46 CORE I5-6600 CPU @ 3.30GHZ 4 16,895 67,580 Intel
47 CORE I7-6700 CPU @ 3.40GHZ 8 8,411 67,288 Intel
48 CORE I7-9750H CPU @ 2.60GHZ 12 5,052 60,624 Intel
49 CORE I3-8100 CPU @ 3.60GHZ 4 12,832 51,328 Intel
50 CORE I5-6500T CPU @ 2.50GHZ 4 12,449 49,796 Intel
51 APPLE M1 PRO 10 4,813 48,130 Apple
52 RYZEN 7 4800U 16 2,910 46,560 AMD
53 CORE I5-4590 CPU @ 3.30GHZ 4 10,599 42,396 Intel
54 CORE I5-3470S CPU @ 2.90GHZ 4 9,624 38,496 Intel
55 RYZEN 5 5500U 12 2,885 34,620 AMD
56 CORE I5-3570 CPU @ 3.40GHZ 4 8,301 33,204 Intel
57 CORE I7-7600U CPU @ 2.80GHZ 4 6,581 26,324 Intel
58 CORE I5-2320 CPU @ 3.00GHZ 4 6,141 24,564 Intel
59 CORE I5-2500K CPU @ 3.30GHZ 4 5,779 23,116 Intel
60 12TH GEN CORE I5-12600KF 16 1,120 17,920 Intel
61 CORE I3-4160T CPU @ 3.10GHZ 4 3,904 15,616 Intel
62 A10-7870K RADEON R7, 12 COMPUTE CORES 4C+8G 4 3,173 12,692 AMD
63 CORE I7 CPU 975 @ 3.33GHZ 8 1,490 11,920 Intel
64 CORE I7-8550U CPU @ 1.80GHZ 8 1,153 9,224 Intel
65 XEON CPU @ 2.20GHZ 1 5,322 5,322 Intel
66 ATOM(TM) CPU Z3770 @ 1.46GHZ 4 544 2,176 Intel