RESEARCH: CANCER
FOLDING PROJECT #18406 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 24,700
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project explores using computer simulations to design better mini-proteins that fight bacteria. By predicting how small changes to these proteins affect their ability to bind to a bacterial target, researchers hope to create more effective antibiotics.

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

OFFICAL PROJECT DESCRIPTION

Can molecular simulation be used for virtual affinity-maturation of de novo designed protein binders? That’s the question this project aims to address.

The Bahl Lab at the Institute for Protein Innovation has had some amazing success using computational design to develop high-affinity mini-proteins that can inhibit protein targets by tightly binding to them.

In practice, the current approach requires the experimental screening of thousands of computational designs to discover a few tight binders, and similarly expensive experimental screens to optimize their binding (i.e.

“affinity maturation”).

If we can make more accurate predictions of how sequence mutations affect binding affinity, we may be able to offload this expensive task to computers, boosting the efficiency of these efforts considerably. In this project, we use relative free energy calculations to predict how single-point mutations of a computationally designed mini-protein alter the binding affinity to the periplasmic protease LapG, an important regulator of bacterial biofilm formation.

These predictions will be compared to high-throughput experimental measurements of binding affinity provided by the Bahl lab.

An important end goal of this work is to develop new classes of inhibitors to make antibiotic therapies more successful.

.

RELATED TERMS GLOSSARY AI BETA

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

molecular simulation

Using computer models to simulate molecular interactions.

Scientific: Pharmaceuticals
Biotechnology / Drug Discovery

Molecular simulation is a computational technique that uses computer models to simulate the behavior of molecules and their interactions. It's used in various fields, including drug discovery, materials science, and biochemistry, to understand how molecules behave at an atomic level.


affinity maturation

The process of improving the binding affinity of a molecule to its target.

Scientific: Pharmaceuticals
Biotechnology / Protein Engineering

Affinity maturation is a crucial process in drug development where scientists aim to enhance the binding strength between a drug molecule and its target. This can be achieved through iterative rounds of mutagenesis and selection, resulting in molecules with improved efficacy and reduced side effects.


mini-protein

Small, engineered proteins with specific functions.

Scientific: Pharmaceuticals
Biotechnology / Protein Engineering

Mini-proteins are short, synthetically designed proteins that possess defined biological activities. They offer several advantages over traditional antibodies, including smaller size, faster production, and improved stability, making them promising candidates for therapeutic applications.


periplasmic protease

A type of enzyme found in the periplasm of bacteria.

Scientific: Pharmaceuticals
Biotechnology / Microbiology

Periplasmic proteases are enzymes that reside in the periplasm, a space between the inner and outer membranes of gram-negative bacteria. They play various roles in bacterial physiology, including protein degradation, nutrient processing, and virulence.


LapG

L-asparaginase G protease

Scientific: Pharmaceuticals
Biotechnology / Microbiology

LapG is a specific type of protease found in certain bacteria. It plays a role in bacterial biofilm formation, which is the process by which bacteria adhere to surfaces and create communities.


biofilm

A community of microorganisms that adhere to surfaces and each other.

Scientific: Pharmaceuticals
Biotechnology / Microbiology

Biofilms are complex communities of microorganisms that attach to surfaces and form protective layers. They are found in various environments, including medical devices, aquatic ecosystems, and even within the human body. Biofilms can be challenging to treat due to their resistance to antibiotics and host immune responses.


antibiotic therapies

Medical treatments using antibiotics to combat bacterial infections.

Scientific: Pharmaceuticals
Medicine / Infectious Diseases

Antibiotic therapies are essential for treating bacterial infections. Antibiotics work by targeting specific mechanisms within bacteria, inhibiting their growth or causing cell death. However, the emergence of antibiotic resistance poses a significant threat to global health.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:29:53
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 Sunday, 26 April 2026 03:29:53
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 EPYC 7B12 64-CORE 64 14,664 938,496 AMD
2 RYZEN 9 3950X 16-CORE 32 28,018 896,576 AMD
3 RYZEN 7 5800X 8-CORE 16 42,537 680,592 AMD
4 RYZEN 7 7700X 8-CORE 16 40,836 653,376 AMD
5 12TH GEN CORE I7-12700K 20 31,510 630,200 Intel
6 RYZEN 9 5950X 16-CORE 32 19,575 626,400 AMD
7 RYZEN 7 5800X3D 8-CORE 16 38,529 616,464 AMD
8 RYZEN 7 5700G 16 35,416 566,656 AMD
9 12TH GEN CORE I9-12900K 24 22,381 537,144 Intel
10 RYZEN 9 3900 12-CORE 24 22,171 532,104 AMD
11 RYZEN 9 5900X 12-CORE 24 18,552 445,248 AMD
12 RYZEN 7 5700X 8-CORE 16 27,180 434,880 AMD
13 CORE I7-7820X CPU @ 3.60GHZ 16 26,692 427,072 Intel
14 11TH GEN CORE I9-11900K @ 3.50GHZ 16 26,272 420,352 Intel
15 RYZEN 9 3900XT 12-CORE 24 14,713 353,112 AMD
16 CORE I9-10900X CPU @ 3.70GHZ 20 16,233 324,660 Intel
17 RYZEN 7 3800X 8-CORE 16 20,152 322,432 AMD
18 RYZEN THREADRIPPER 1950X 16-CORE 32 9,932 317,824 AMD
19 11TH GEN CORE I7-11700K @ 3.60GHZ 16 18,677 298,832 Intel
20 CORE I9-10850K CPU @ 3.60GHZ 20 14,729 294,580 Intel
21 RYZEN 9 3900X 12-CORE 24 11,396 273,504 AMD
22 RYZEN 9 5900 12-CORE 24 11,304 271,296 AMD
23 CORE I9-7940X CPU @ 3.10GHZ 28 9,419 263,732 Intel
24 RYZEN 5 5600 6-CORE 12 21,898 262,776 AMD
25 RYZEN 7 5800H 16 16,100 257,600 AMD
26 RYZEN 5 5600G 12 21,286 255,432 AMD
27 CORE I7-8700 CPU @ 3.20GHZ 12 20,085 241,020 Intel
28 RYZEN 9 5900HS 16 14,057 224,912 AMD
29 RYZEN 5 5600X 6-CORE 12 18,148 217,776 AMD
30 CORE I7-9700K CPU @ 3.60GHZ 8 26,799 214,392 Intel
31 CORE I9-9900K CPU @ 3.60GHZ 16 12,698 203,168 Intel
32 CORE I9-9900 CPU @ 3.10GHZ 16 12,117 193,872 Intel
33 RYZEN 5 3600 6-CORE 12 16,042 192,504 AMD
34 XEON CPU E5-2690 V4 @ 2.60GHZ 28 6,817 190,876 Intel
35 XEON CPU E5-2680 V3 @ 2.50GHZ 24 7,904 189,696 Intel
36 RYZEN 7 1700 EIGHT-CORE 16 11,717 187,472 AMD
37 CORE I7-8700K CPU @ 3.70GHZ 12 15,566 186,792 Intel
38 RYZEN 7 PRO 4750G 16 11,396 182,336 AMD
39 GENUINE CPU 0000 @ 2.60GHZ 16 10,871 173,936 Intel
40 RYZEN THREADRIPPER 3960X 24-CORE 48 3,623 173,904 AMD
41 RYZEN 5 3500 6-CORE 6 28,590 171,540 AMD
42 RYZEN 7 3700X 8-CORE 16 10,504 168,064 AMD
43 13TH GEN CORE I9-13900K 32 5,249 167,968 Intel
44 RYZEN 5 2600X SIX-CORE 12 13,515 162,180 AMD
45 XEON CPU X5660 @ 2.80GHZ 24 6,569 157,656 Intel
46 XEON CPU E5-2698 V4 @ 2.20GHZ 16 9,494 151,904 Intel
47 XEON CPU E5-2650 V2 @ 2.60GHZ 32 4,155 132,960 Intel
48 CORE I7-7700K CPU @ 4.20GHZ 8 16,495 131,960 Intel
49 CORE I7-5930K CPU @ 3.50GHZ 12 10,927 131,124 Intel
50 CORE I7-5820K CPU @ 3.30GHZ 12 10,494 125,928 Intel
51 CORE I7-9700 CPU @ 3.00GHZ 8 14,629 117,032 Intel
52 CORE I7-9850H CPU @ 2.60GHZ 12 9,448 113,376 Intel
53 13TH GEN CORE I5-13500 20 5,460 109,200 Intel
54 APPLE M1 MAX 10 10,852 108,520 Apple
55 CORE I7-10700T CPU @ 2.00GHZ 16 6,446 103,136 Intel
56 CORE I7-8705G CPU @ 3.10GHZ 8 11,649 93,192 Intel
57 RYZEN 3 3100 4-CORE 8 11,619 92,952 AMD
58 12TH GEN CORE I7-12700H 20 4,618 92,360 Intel
59 RYZEN 5 1600 SIX-CORE 12 7,271 87,252 AMD
60 XEON CPU E3-1270 V5 @ 3.60GHZ 8 10,498 83,984 Intel
61 CORE I5-8400 CPU @ 2.80GHZ 6 13,235 79,410 Intel
62 CORE I5-8600T CPU @ 2.30GHZ 6 12,268 73,608 Intel
63 APPLE M1 8 8,914 71,312 Apple
64 XEON CPU E5-2680 0 @ 2.70GHZ 16 4,414 70,624 Intel
65 CORE I7-6700 CPU @ 3.40GHZ 8 8,576 68,608 Intel
66 CORE I9-8950HK CPU @ 2.90GHZ 12 5,651 67,812 Intel
67 CORE I7-6700K CPU @ 4.00GHZ 8 8,201 65,608 Intel
68 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 7,681 61,448 Intel
69 XEON CPU E3-1245 V3 @ 3.40GHZ 8 7,623 60,984 Intel
70 CORE I7-4790 CPU @ 3.60GHZ 8 7,475 59,800 Intel
71 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,304 58,432 Intel
72 CORE I7-4770K CPU @ 3.50GHZ 8 7,187 57,496 Intel
73 XEON CPU E3-1275 V2 @ 3.50GHZ 8 6,836 54,688 Intel
74 CORE I7-7700HQ CPU @ 2.80GHZ 8 6,210 49,680 Intel
75 RYZEN 7 4700U 8 6,191 49,528 AMD
76 XEON CPU E3-1240 V2 @ 3.40GHZ 8 6,061 48,488 Intel
77 APPLE M1 PRO 10 4,794 47,940 Apple
78 XEON GOLD 6128 CPU @ 3.40GHZ 12 3,835 46,020 Intel
79 XEON CPU E31245 @ 3.30GHZ 8 4,505 36,040 Intel
80 RYZEN 5 5500U 12 2,722 32,664 AMD
81 XEON CPU E5-2620 0 @ 2.00GHZ 12 2,577 30,924 Intel
82 CORE I5-10210U CPU @ 1.60GHZ 7 4,108 28,756 Intel