RESEARCH: CANCER
FOLDING PROJECT #12462 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 12,130
Core: 0xa8
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

Peptoids are man-made molecules that act like proteins. This project uses computer simulations to study how peptoids fold and interact with other molecules. This is important because it could help us design new drugs and materials.

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

OFFICAL PROJECT DESCRIPTION

Peptoids (N-substituted oligoglycines) are biomimetic heteropolymers that can be synthesized using a specific sequence of monomers, much like biological protein.

There are many fascinating examples of peptoids that can adopt folded structures in solution, assemble into nanostructures (1), and bind protein targets (2).

In order to computationally design peptoids as therapeutics or for other applications, we need accurate simulation models.

In collaboration with other groups, the Voelz group is working to test the accuracy of peptoid force fields against solution-phase NMR measurements.

Unlike peptides, however, peptoids' amide bonds can populate both cis and trans conformations, and slow transitions between these states make it difficult to sample peptoid folding landscapes using molecular simulation. This project is designed to test enhanced sampling methods for overcoming cis/trans isomerization barriers.

The results of this study will inform our ongoing work in peptoid force field evaluation. References 1.

Sun, Jing, and Ronald N.

Zuckermann.

“Peptoid Polymers: A Highly Designable Bioinspired Material.” ACS Nano 7, no.

6 (June 25, 2013): 4715–32.

https://doi.org/10.1021/nn4015714. 2.

Schneider, Jeffrey A., Timothy W.

Craven, Amanda C.

Kasper, Chi Yun, Michael Haugbro, Erica M.

Briggs, Vladimir Svetlov, et al.

“Design of Peptoid-Peptide Macrocycles to Inhibit the β-Catenin TCF Interaction in Prostate Cancer.” Nature Communications 9, no.

1 (December 2018): 4396.

https://doi.org/10.1038/s41467-018-06845-3.

RELATED TERMS GLOSSARY AI BETA

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

Peptoids

N-substituted oligoglycines; synthetic polymers mimicking proteins.

Technical: Pharmaceutical
Biotechnology / Material Science

Peptoids are synthetic molecules designed to mimic the structure and function of proteins. They are made up of repeating units called monomers, linked together like a chain. Peptoids can fold into complex shapes, bind to other molecules, and have potential applications in medicine and materials science.


Oligoglycines

Short chains of amino acids glycine.

Scientific: Pharmaceutical
Biotechnology / Biochemistry

Oligoglycines are short chains of the amino acid glycine. Glycine is the simplest amino acid and has a basic structure with only a hydrogen atom as its side chain. Oligoglycines can be used to build larger molecules like peptides and proteins.


Monomers

Basic building blocks of polymers.

Scientific: Pharmaceutical
Biotechnology / Polymer Chemistry

Monomers are the basic building blocks of polymers. They are small molecules that can link together to form long chains called polymers. In biology, monomers like amino acids are used to build proteins.


Proteins

Large biomolecules essential for life.

Scientific: Pharmaceutical
Biotechnology / Biochemistry

Proteins are large complex molecules that play many vital roles in living organisms. They are made up of chains of amino acids folded into specific 3-dimensional shapes. Proteins carry out a wide variety of functions, including catalyzing chemical reactions, transporting molecules, providing structural support, and defending against disease.


NMR

Nuclear Magnetic Resonance

Scientific: Pharmaceutical
Biotechnology / Analytical Chemistry

NMR is a powerful analytical technique used to study the structure and dynamics of molecules. It works by exploiting the magnetic properties of atomic nuclei.


Force Field

Mathematical model used to describe molecular interactions.

Technical: Pharmaceutical
Biotechnology / Computational Chemistry

A force field is a mathematical model that describes how atoms and molecules interact with each other. It's used in computer simulations to predict the behavior of molecules.


Cis/Trans Isomerization

Conformational change in molecules.

Scientific: Pharmaceutical
Biotechnology / Structural Biology

Cis/trans isomerization is a type of conformational change where molecules can exist in two different arrangements. The 'cis' and 'trans' configurations refer to the spatial arrangement of atoms around a double bond.


Peptoid Force Field

Mathematical model specific to peptoids.

Technical: Pharmaceutical
Biotechnology / Computational Chemistry

A peptoid force field is a specialized mathematical model used to describe how peptoid molecules interact with each other. It's essential for accurately simulating the behavior of these synthetic polymers.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:34:21
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 06:34:21
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 7950X3D 16-CORE 32 49,535 1,585,120 AMD
2 RYZEN 9 9950X 16-CORE 32 46,523 1,488,736 AMD
3 RYZEN 9 9900X 12-CORE 24 58,528 1,404,672 AMD
4 RYZEN 9 9950X3D 16-CORE 32 42,336 1,354,752 AMD
5 RYZEN 5 9600 6-CORE 12 94,407 1,132,884 AMD
6 RYZEN 7 7700X 8-CORE 16 66,310 1,060,960 AMD
7 CORE ULTRA 7 265K 20 52,960 1,059,200 Intel
8 RYZEN 9 7950X 16-CORE 32 31,395 1,004,640 AMD
9 XEON W-3245 CPU @ 3.20GHZ 32 30,261 968,352 Intel
10 RYZEN 7 9800X3D 8-CORE 16 48,279 772,464 AMD
11 RYZEN THREADRIPPER 7980X 64-CORES 64 11,504 736,256 AMD
12 RYZEN 9 5900X 12-CORE 24 29,841 716,184 AMD
13 RYZEN 9 5950X 16-CORE 32 21,399 684,768 AMD
14 RYZEN THREADRIPPER PRO 7955WX 16-CORES 32 20,901 668,832 AMD
15 XEON PHI(TM) CPU 7210 @ 1.30GHZ 256 2,587 662,272 Intel
16 APPLE M4 PRO 14 46,548 651,672 Apple
17 CORE I9-14900K 32 18,770 600,640 Intel
18 RYZEN 7 7800X3D 8-CORE 16 35,811 572,976 AMD
19 11TH GEN CORE I9-11900K @ 3.50GHZ 16 34,134 546,144 Intel
20 RYZEN 7 5800X3D 8-CORE 16 33,039 528,624 AMD
21 RYZEN 7 5800XT 8-CORE 16 32,417 518,672 AMD
22 12TH GEN CORE I7-12700 20 25,105 502,100 Intel
23 RYZEN 7 5700X3D 8-CORE 16 30,403 486,448 AMD
24 RYZEN 9 3900X 12-CORE 24 19,920 478,080 AMD
25 RYZEN 5 7600 6-CORE 12 38,376 460,512 AMD
26 RYZEN 7 5800X 8-CORE 16 28,713 459,408 AMD
27 13TH GEN CORE I9-13900KF 32 13,533 433,056 Intel
28 RYZEN 7 5700G 16 26,380 422,080 AMD
29 12TH GEN CORE I7-12700K 20 20,699 413,980 Intel
30 RYZEN 7 7735HS 16 23,559 376,944 AMD
31 RYZEN 7 5700X 8-CORE 16 23,233 371,728 AMD
32 CORE I7-10700K CPU @ 3.80GHZ 16 22,837 365,392 Intel
33 RYZEN 5 5600G 12 25,929 311,148 AMD
34 APPLE M2 PRO 10 30,656 306,560 Apple
35 RYZEN 5 5600 6-CORE 12 24,129 289,548 AMD
36 RYZEN 7 7840HS W/ RADEON 780M GRAPHICS 16 18,086 289,376 AMD
37 CORE I7-9700 CPU @ 3.00GHZ 8 30,620 244,960 Intel
38 CORE I7-6900K CPU @ 3.20GHZ 16 14,746 235,936 Intel
39 RYZEN 5 5500 12 19,061 228,732 AMD
40 RYZEN 7 3700X 8-CORE 16 13,699 219,184 AMD
41 CORE I5-9400 CPU @ 2.90GHZ 6 36,108 216,648 Intel
42 RYZEN 9 3900XT 12-CORE 24 8,776 210,624 AMD
43 RYZEN THREADRIPPER 1950X 16-CORE 32 6,570 210,240 AMD
44 CORE I5-9400F CPU @ 2.90GHZ 6 31,884 191,304 Intel
45 CORE I7-9750H CPU @ 2.60GHZ 12 14,966 179,592 Intel
46 RYZEN 3 5300G 8 22,088 176,704 AMD
47 12TH GEN CORE I5-12400F 12 14,106 169,272 Intel
48 RYZEN 5 3600 6-CORE 12 13,645 163,740 AMD
49 CORE I7-5820K CPU @ 3.30GHZ 12 13,505 162,060 Intel
50 CORE I7-8700 CPU @ 3.20GHZ 12 12,915 154,980 Intel
51 CORE I9-8950HK CPU @ 2.90GHZ 12 12,878 154,536 Intel
52 13TH GEN CORE I7-13700 24 6,430 154,320 Intel
53 CORE I7-7700K CPU @ 4.20GHZ 8 17,646 141,168 Intel
54 11TH GEN CORE I7-11700F @ 2.50GHZ 16 8,329 133,264 Intel
55 RYZEN 5 5500U 12 10,889 130,668 AMD
56 CORE I7-6700K CPU @ 4.00GHZ 8 15,469 123,752 Intel
57 XEON CPU E3-1270 V5 @ 3.60GHZ 8 13,606 108,848 Intel
58 APPLE M1 MAX 10 10,873 108,730 Apple
59 CORE I7-4790K CPU @ 4.00GHZ 8 12,653 101,224 Intel
60 CORE I7-4930K CPU @ 3.40GHZ 12 6,855 82,260 Intel
61 APPLE M2 8 9,812 78,496 Apple
62 CORE I5-6500T CPU @ 2.50GHZ 4 19,501 78,004 Intel
63 APPLE M4 10 7,779 77,790 Apple
64 APPLE M1 8 7,996 63,968 Apple
65 XEON CPU E5-2699 V3 @ 2.30GHZ 36 1,210 43,560 Intel
66 CORE I5-8600T CPU @ 2.30GHZ 6 7,052 42,312 Intel
67 CORE I7-4770HQ CPU @ 2.20GHZ 8 5,259 42,072 Intel
68 CORE I5-3470 CPU @ 3.20GHZ 4 10,307 41,228 Intel
69 RYZEN 5 2400G 8 4,877 39,016 AMD
70 RYZEN 7 4800U 16 2,380 38,080 AMD
71 RYZEN 5 PRO 2400GE W/ 8 4,108 32,864 AMD
72 CORE I7-7500U CPU @ 2.70GHZ 4 7,652 30,608 Intel
73 CORE I5-6300U CPU @ 2.40GHZ 4 6,685 26,740 Intel
74 PRO A10-9700E R7, 10 COMPUTE CORES 4C+6G 4 3,381 13,524 AMD
75 CORE I7 CPU 975 @ 3.33GHZ 8 834 6,672 Intel
76 CORE I7-14700K 28 Intel
77 CORTEX-A 4 Unknown