RESEARCH: CYCLIC-TETRAPEPTIDE-SYNTHESIS
FOLDING PROJECT #12469 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 7,250
Core: 0xa8
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

Scientists are studying tiny ring-shaped molecules called cyclic tetrapeptides (CTPs) because they have potential as new drugs. The project relates to figuring out how to make CTPs more easily by understanding how the arrangement of atoms in them affects their shape and ability to link together. Researchers are using powerful computers to simulate these processes and hope to learn how to design new, useful CTPs.

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

OFFICAL PROJECT DESCRIPTION

Cyclic tetrapeptides (CTPs) are a relatively unexplored class of small, ring-shaped molecules built from amino acids.

Their unique structure makes them promising candidates for drug discovery, but there's still much we don't know about how to make them efficiently.

The main challenge in synthesizing CTPs is getting the ends of their linear precursors to “close” and make the ring, a step that’s limited by their small size and rigidity. Recent findings from the O’Reilly Lab at Villanova University suggest that the success of this cyclization process depends heavily on the specific L/D stereochemistry of the amino acids involved.

In collaboration with the O'Reilly Lab, the Voelz Lab at Temple University is using distributed computing on Folding@Home to gather kinetic data on all L/D variants of a key precursor.

This large dataset will help us understand how stereochemistry affects ease of synthesis, tell us more about the motion and behavior of these molecules, and may inform future efforts to synthesize novel CTPs.

RELATED TERMS GLOSSARY AI BETA

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

Cyclic tetrapeptides

A class of small molecules built from four amino acids.

Scientific: Biotechnology
Drug discovery / Pharmacology

Cyclic tetrapeptides are a type of molecule made up of four connected amino acids arranged in a ring shape. They are being studied for their potential use as drugs because of their unique structure and properties.


Amino acids

The building blocks of proteins.

Scientific: Biotechnology
Drug discovery / Biochemistry

Amino acids are the basic units that make up proteins. They are linked together in chains to form long molecules with specific shapes and functions.


Drug discovery

The process of identifying and developing new medications.

Technical: Pharmaceuticals
Pharmaceutical research / Biotechnology

Drug discovery is the complex process of finding and testing new compounds that can be used to treat diseases. It involves many steps, from identifying potential drug candidates to conducting clinical trials.


Stereochemistry

The arrangement of atoms in space.

Scientific: Biotechnology
Drug discovery / Organic chemistry

Stereochemistry is the study of how molecules are arranged in three-dimensional space. It is important in drug discovery because the shape of a molecule can affect its ability to bind to target proteins.


L/D stereochemistry

The configuration of chiral centers in a molecule.

Scientific: Biotechnology
Drug discovery / Biochemistry

L/D stereochemistry refers to the specific arrangement of atoms around a chiral center in a molecule. This can affect how a molecule interacts with other molecules, such as proteins.


Folding@Home

A distributed computing project for protein folding simulations.

Technical: Computing
Scientific research / Bioinformatics

Folding@Home is a platform that uses the processing power of volunteers' computers to simulate the folding of proteins. This helps researchers understand how proteins fold and function.


Distributed computing

The use of multiple computers to solve a single problem.

Technical: Computing
Scientific research / Computer science

Distributed computing involves using many computers to work together on a large task. This can be faster and more efficient than using a single computer.


Kinetic data

Data on the rates of chemical reactions.

Scientific: Biotechnology
Research / Chemistry

Kinetic data measures how fast chemical reactions occur. This information is important for understanding the mechanisms of reactions and designing efficient processes.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:34:17
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 06:34:17
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 5 9600 6-CORE 12 226,021 2,712,252 AMD
2 RYZEN 9 9900X 12-CORE 24 88,659 2,127,816 AMD
3 APPLE M4 MAX 16 88,378 1,414,048 Apple
4 RYZEN 7 7700X 8-CORE 16 73,497 1,175,952 AMD
5 RYZEN 9 9950X3D 16-CORE 32 35,188 1,126,016 AMD
6 RYZEN 9 5950X 16-CORE 32 34,319 1,098,208 AMD
7 APPLE M4 PRO 14 73,155 1,024,170 Apple
8 RYZEN 9 9900X3D 12-CORE 24 40,125 963,000 AMD
9 XEON W-3245 CPU @ 3.20GHZ 32 29,878 956,096 Intel
10 RYZEN 7 9800X3D 8-CORE 16 52,126 834,016 AMD
11 RYZEN 7 5800X3D 8-CORE 16 50,067 801,072 AMD
12 RYZEN 7 9700X 8-CORE 16 46,499 743,984 AMD
13 RYZEN 9 5900X 12-CORE 24 30,596 734,304 AMD
14 CORE I9-14900K 32 22,329 714,528 Intel
15 RYZEN 5 7600X3D 6-CORE 12 51,001 612,012 AMD
16 12TH GEN CORE I7-12700 20 25,714 514,280 Intel
17 RYZEN 7 5800XT 8-CORE 16 31,567 505,072 AMD
18 RYZEN 7 5700X3D 8-CORE 16 30,242 483,872 AMD
19 RYZEN 5 7600 6-CORE 12 39,759 477,108 AMD
20 RYZEN 7 7800X3D 8-CORE 16 27,701 443,216 AMD
21 RYZEN 7 5700G 16 27,630 442,080 AMD
22 13TH GEN CORE I9-13900KF 32 13,397 428,704 Intel
23 CORE ULTRA 7 265F 20 19,821 396,420 Intel
24 RYZEN 5 7640U W/ RADEON 760M GRAPHICS 12 32,862 394,344 AMD
25 RYZEN 7 5800X 8-CORE 16 23,575 377,200 AMD
26 APPLE M2 PRO 10 36,154 361,540 Apple
27 RYZEN 7 5700X 8-CORE 16 21,562 344,992 AMD
28 RYZEN 5 5600 6-CORE 12 25,866 310,392 AMD
29 13TH GEN CORE I5-13600KF 20 14,468 289,360 Intel
30 CORE I5-8600K CPU @ 3.60GHZ 6 45,082 270,492 Intel
31 RYZEN 5 5600X 6-CORE 12 20,966 251,592 AMD
32 RYZEN 7 3700X 8-CORE 16 15,652 250,432 AMD
33 RYZEN 9 3900X 12-CORE 24 10,307 247,368 AMD
34 12TH GEN CORE I5-12400F 12 20,507 246,084 Intel
35 CORE I7-10700 CPU @ 2.90GHZ 16 14,584 233,344 Intel
36 APPLE M3 PRO 12 18,848 226,176 Apple
37 CORE I5-10400F CPU @ 2.90GHZ 12 18,179 218,148 Intel
38 RYZEN 7 2700X EIGHT-CORE 16 13,339 213,424 AMD
39 CORE I7-9700 CPU @ 3.00GHZ 8 26,383 211,064 Intel
40 XEON CPU E5-2697 V2 @ 2.70GHZ 24 8,341 200,184 Intel
41 RYZEN 5 3600 6-CORE 12 15,932 191,184 AMD
42 APPLE M4 10 18,751 187,510 Apple
43 CORE I7-4790K CPU @ 4.00GHZ 8 22,840 182,720 Intel
44 CORE I5-10400 CPU @ 2.90GHZ 12 13,833 165,996 Intel
45 RYZEN 5 3600X 6-CORE 12 13,692 164,304 AMD
46 CORE I9-8950HK CPU @ 2.90GHZ 12 13,606 163,272 Intel
47 XEON CPU X5570 @ 2.93GHZ 16 9,967 159,472 Intel
48 CORE I7-8705G CPU @ 3.10GHZ 8 19,032 152,256 Intel
49 APPLE M3 8 18,668 149,344 Apple
50 RYZEN 3 5300G 8 17,853 142,824 AMD
51 CORE I7-7820HQ CPU @ 2.90GHZ 8 17,470 139,760 Intel
52 CORE I7-9750H CPU @ 2.60GHZ 12 11,318 135,816 Intel
53 CORE I7-5820K CPU @ 3.30GHZ 12 11,281 135,372 Intel
54 CORE I5-9400F CPU @ 2.90GHZ 6 21,594 129,564 Intel
55 XEON E-2144G CPU @ 3.60GHZ 8 15,822 126,576 Intel
56 XEON CPU E3-1240 V5 @ 3.50GHZ 8 15,517 124,136 Intel
57 CORE I7-7700K CPU @ 4.20GHZ 8 15,042 120,336 Intel
58 APPLE M2 8 14,553 116,424 Apple
59 RYZEN 3 3300X 4-CORE 8 14,530 116,240 AMD
60 CORE I7-4930K CPU @ 3.40GHZ 12 9,514 114,168 Intel
61 CORE I7-6700K CPU @ 4.00GHZ 8 14,233 113,864 Intel
62 CORE I7-10750H CPU @ 2.60GHZ 12 9,466 113,592 Intel
63 12TH GEN CORE I5-1235U 12 9,452 113,424 Intel
64 XEON W-2133 CPU @ 3.60GHZ 12 8,268 99,216 Intel
65 APPLE M1 MAX 10 9,805 98,050 Apple
66 CORE I7-6700HQ CPU @ 2.60GHZ 8 11,919 95,352 Intel
67 CORE I7-4770S CPU @ 3.10GHZ 8 11,914 95,312 Intel
68 XEON CPU E3-1270 V5 @ 3.60GHZ 8 11,736 93,888 Intel
69 RYZEN 5 1600 SIX-CORE 12 7,518 90,216 AMD
70 APPLE M1 8 10,751 86,008 Apple
71 CORE I5-6500 CPU @ 3.20GHZ 4 21,393 85,572 Intel
72 CORE I7-4790 CPU @ 3.60GHZ 8 10,265 82,120 Intel
73 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 9,303 74,424 Intel
74 APPLE M1 PRO 10 7,160 71,600 Apple
75 RYZEN 5 3400G 8 8,888 71,104 AMD
76 RYZEN 7 5800U 16 4,406 70,496 AMD
77 CORE I3-8100T CPU @ 3.10GHZ 4 17,582 70,328 Intel
78 CORE I7-8700 CPU @ 3.20GHZ 12 5,642 67,704 Intel
79 CORE I5-6500T CPU @ 2.50GHZ 4 16,160 64,640 Intel
80 XEON CPU E3-1290 V2 @ 3.70GHZ 8 7,739 61,912 Intel
81 CORE I5-4670K CPU @ 3.40GHZ 4 14,942 59,768 Intel
82 RYZEN 5 PRO 2400GE W/ 8 7,078 56,624 AMD
83 CORE I7-4770 CPU @ 3.40GHZ 8 6,856 54,848 Intel
84 RYZEN 5 2400G 8 6,798 54,384 AMD
85 CORE I7-4770HQ CPU @ 2.20GHZ 8 6,541 52,328 Intel
86 CORE I5-8250U CPU @ 1.60GHZ 8 6,406 51,248 Intel
87 CORE 3 100U 8 6,010 48,080 Intel
88 CORE I5-4570 CPU @ 3.20GHZ 4 11,804 47,216 Intel
89 CORE I7-7700HQ CPU @ 2.80GHZ 8 5,829 46,632 Intel
90 CORE I5-3470 CPU @ 3.20GHZ 4 11,627 46,508 Intel
91 CORE I5-4590 CPU @ 3.30GHZ 4 11,403 45,612 Intel
92 CORE I5-2500 CPU @ 3.30GHZ 4 10,694 42,776 Intel
93 CORE I5-4460 CPU @ 3.20GHZ 4 10,029 40,116 Intel
94 CORE I5-7400 CPU @ 3.00GHZ 4 8,460 33,840 Intel
95 CORE I5-4690 CPU @ 3.50GHZ 4 7,904 31,616 Intel
96 CORE I5-6300U CPU @ 2.40GHZ 4 5,891 23,564 Intel
97 CORE I7-7500U CPU @ 2.70GHZ 4 5,837 23,348 Intel
98 CORE I3-4160T CPU @ 3.10GHZ 4 5,051 20,204 Intel
99 ATHLON(TM) X4 870K QUAD CORE 4 4,791 19,164 AMD
100 PHENOM II X4 970 4 3,489 13,956 AMD
101 CORTEX-A 4 1,769 7,076 Unknown
102 A4-3300M APU RADEON(TM) HD GRAPHICS 2 1,223 2,446 AMD
103 CORE I7-6560U CPU @ 2.20GHZ 4 Intel
104 CORE I7-14700K 28 Intel