RESEARCH: CANCER
FOLDING PROJECT #18418 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 35,650
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project uses computer simulations to predict how changes in a mini-protein's design affect its ability to bind to a bacterial target. The goal is to develop more effective antibiotics by designing proteins that block bacteria from forming harmful biofilms. This could make current antibiotic treatments more successful.

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.

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RELATED TERMS GLOSSARY AI BETA

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

molecular simulation

Use of computer models to simulate molecular behavior

Technical: Biopharmaceuticals
Biotechnology / Drug Discovery

Molecular simulation uses computer algorithms to mimic how atoms and molecules interact. This allows scientists to study chemical reactions, protein folding, and other biological processes without needing expensive or time-consuming laboratory experiments.


affinity maturation

Process of improving the binding affinity of a molecule to its target

Technical: Biopharmaceuticals
Biotechnology / Drug Discovery

Affinity maturation is a process used in drug development to improve how well a drug binds to its intended target. This often involves making small changes to the drug's structure through repeated rounds of testing and refinement.


mini-protein

Small protein with a specific function

Scientific: Biopharmaceuticals
Biotechnology / Protein Engineering

Mini-proteins are compact versions of naturally occurring proteins that have been designed for specific tasks. They often exhibit high stability and can be easily produced in large quantities, making them valuable tools in drug development and other applications.


LapG

Periplasmic protease from _E. coli_

Technical: Biopharmaceuticals
Biotechnology / Microbiology

LapG is a bacterial enzyme that plays a role in biofilm formation by breaking down proteins within the cell's outer membrane. Understanding LapG can help researchers develop new antibiotics.


periplasmic protease

Enzyme found in the periplasm of bacteria

Scientific: Biopharmaceuticals
Biotechnology / Microbiology

Periplasmic proteases are enzymes that break down proteins within the periplasm, a space between the cell membrane and the outer membrane of gram-negative bacteria. They play important roles in bacterial metabolism, virulence, and antibiotic resistance.


biofilm

Structured community of microorganisms

Scientific: Biopharmaceuticals
Biotechnology / Microbiology

A biofilm is a complex community of microorganisms that adhere to a surface and are encased in a protective matrix. Biofilms can form on various surfaces, including medical devices, rocks, and living tissues. They are often associated with antibiotic resistance and chronic infections.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:29:35
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:29:35
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 7 5800X 8-CORE 16 40,205 643,280 AMD
2 CORE I9-14900K 32 19,821 634,272 Intel
3 RYZEN 9 7900X 12-CORE 24 23,219 557,256 AMD
4 RYZEN 7 7700X 8-CORE 16 33,243 531,888 AMD
5 RYZEN 7 5800X3D 8-CORE 16 32,156 514,496 AMD
6 RYZEN 7 5700G 16 28,414 454,624 AMD
7 12TH GEN CORE I9-12900K 24 17,801 427,224 Intel
8 12TH GEN CORE I5-12400F 12 35,295 423,540 Intel
9 RYZEN 9 5950X 16-CORE 32 12,871 411,872 AMD
10 RYZEN 9 3900 12-CORE 24 16,776 402,624 AMD
11 RYZEN 9 3950X 16-CORE 32 11,837 378,784 AMD
12 CORE I7-7820X CPU @ 3.60GHZ 16 23,028 368,448 Intel
13 RYZEN 9 5900X 12-CORE 24 15,018 360,432 AMD
14 RYZEN 7 5700X 8-CORE 16 22,162 354,592 AMD
15 11TH GEN CORE I7-11700K @ 3.60GHZ 16 20,751 332,016 Intel
16 RYZEN THREADRIPPER 1950X 16-CORE 32 10,283 329,056 AMD
17 11TH GEN CORE I9-11900K @ 3.50GHZ 16 18,784 300,544 Intel
18 RYZEN 7 3800X 8-CORE 16 17,589 281,424 AMD
19 CORE I9-10850K CPU @ 3.60GHZ 20 13,033 260,660 Intel
20 12TH GEN CORE I7-12700K 20 12,944 258,880 Intel
21 RYZEN 9 5900 12-CORE 24 10,727 257,448 AMD
22 XEON CPU E5-2690 V4 @ 2.60GHZ 28 8,788 246,064 Intel
23 RYZEN 5 3600X 6-CORE 12 20,373 244,476 AMD
24 CORE I9-7920X CPU @ 2.90GHZ 24 10,132 243,168 Intel
25 CORE I9-10900X CPU @ 3.70GHZ 20 11,634 232,680 Intel
26 RYZEN 5 5600G 12 19,262 231,144 AMD
27 RYZEN 9 3900X 12-CORE 24 9,193 220,632 AMD
28 RYZEN 9 5900HS 16 13,521 216,336 AMD
29 RYZEN 9 3900XT 12-CORE 24 8,644 207,456 AMD
30 RYZEN 5 5600 6-CORE 12 17,180 206,160 AMD
31 EPYC 7713 64-CORE 64 3,146 201,344 AMD
32 CORE I7-8700 CPU @ 3.20GHZ 12 16,262 195,144 Intel
33 CORE I9-9900K CPU @ 3.60GHZ 16 11,788 188,608 Intel
34 13TH GEN CORE I7-13700 24 7,757 186,168 Intel
35 XEON CPU E5-2667 V2 @ 3.30GHZ 32 5,745 183,840 Intel
36 CORE I7-9700K CPU @ 3.60GHZ 8 22,547 180,376 Intel
37 RYZEN 5 5600X 6-CORE 12 14,792 177,504 AMD
38 CORE I7-5960X CPU @ 3.00GHZ 16 10,965 175,440 Intel
39 CORE I7-9700 CPU @ 3.00GHZ 8 21,848 174,784 Intel
40 APPLE M1 MAX 10 17,450 174,500 Apple
41 12TH GEN CORE I5-12600K 16 10,821 173,136 Intel
42 RYZEN 7 4800H 16 10,541 168,656 AMD
43 RYZEN 5 2600X SIX-CORE 12 13,787 165,444 AMD
44 XEON CPU E5-2698 V4 @ 2.20GHZ 16 10,336 165,376 Intel
45 RYZEN 7 PRO 4750G 16 9,699 155,184 AMD
46 GENUINE CPU 0000 @ 2.60GHZ 16 9,450 151,200 Intel
47 RYZEN 5 3600 6-CORE 12 11,918 143,016 AMD
48 12TH GEN CORE I9-12900H 20 6,984 139,680 Intel
49 RYZEN 7 5800H 16 8,343 133,488 AMD
50 RYZEN 7 2700X EIGHT-CORE 16 7,989 127,824 AMD
51 11TH GEN CORE I9-11900F @ 2.50GHZ 16 7,277 116,432 Intel
52 CORE I7-5930K CPU @ 3.50GHZ 12 9,489 113,868 Intel
53 CORE I7-7700K CPU @ 4.20GHZ 8 14,134 113,072 Intel
54 11TH GEN CORE I5-11400 @ 2.60GHZ 12 9,154 109,848 Intel
55 CORE I7-5820K CPU @ 3.30GHZ 12 9,038 108,456 Intel
56 XEON CPU E5-2650 V2 @ 2.60GHZ 32 3,180 101,760 Intel
57 11TH GEN CORE I7-11700F @ 2.50GHZ 16 6,188 99,008 Intel
58 CORE I7-10700T CPU @ 2.00GHZ 16 6,000 96,000 Intel
59 CORE I5-10400 CPU @ 2.90GHZ 12 7,455 89,460 Intel
60 RYZEN 7 3700X 8-CORE 16 5,545 88,720 AMD
61 CORE I9-8950HK CPU @ 2.90GHZ 12 7,287 87,444 Intel
62 RYZEN 5 1600 SIX-CORE 12 7,149 85,788 AMD
63 CORE I5-9400F CPU @ 2.90GHZ 6 13,659 81,954 Intel
64 RYZEN 5 2600 SIX-CORE 12 6,785 81,420 AMD
65 CORE I7-4790K CPU @ 4.00GHZ 8 10,138 81,104 Intel
66 CORE I7-7700 CPU @ 3.60GHZ 8 10,072 80,576 Intel
67 CORE I7-8705G CPU @ 3.10GHZ 8 9,976 79,808 Intel
68 CORE I7-10750H CPU @ 2.60GHZ 12 6,564 78,768 Intel
69 XEON CPU E3-1270 V5 @ 3.60GHZ 8 9,324 74,592 Intel
70 11TH GEN CORE I7-1185G7 @ 3.00GHZ 8 8,396 67,168 Intel
71 CORE I7-6700K CPU @ 4.00GHZ 8 8,265 66,120 Intel
72 CORE I7-4790 CPU @ 3.60GHZ 8 8,053 64,424 Intel
73 XEON CPU E5-1630 V3 @ 3.70GHZ 8 7,958 63,664 Intel
74 APPLE M1 8 7,811 62,488 Apple
75 XEON CPU E5-2680 0 @ 2.70GHZ 16 3,877 62,032 Intel
76 CORE I5-8600T CPU @ 2.30GHZ 6 10,077 60,462 Intel
77 CORE I7-6700HQ CPU @ 2.60GHZ 8 7,527 60,216 Intel
78 RYZEN 5 3500 6-CORE 6 9,975 59,850 AMD
79 CORE I7-6700 CPU @ 3.40GHZ 8 7,472 59,776 Intel
80 XEON CPU X5660 @ 2.80GHZ 24 2,179 52,296 Intel
81 CORE I7-4790T CPU @ 2.70GHZ 8 6,151 49,208 Intel
82 CORE I5-1035G4 CPU @ 1.10GHZ 8 6,096 48,768 Intel
83 CORE I7-4770HQ CPU @ 2.20GHZ 8 6,029 48,232 Intel
84 CORE I7-3770 CPU @ 3.40GHZ 8 6,002 48,016 Intel
85 CORE I5-4590 CPU @ 3.30GHZ 4 11,920 47,680 Intel
86 XEON CPU E5-2697 V2 @ 2.70GHZ 24 1,977 47,448 Intel
87 APPLE M1 PRO 10 4,720 47,200 Apple
88 CORE I3-10100 CPU @ 3.60GHZ 8 5,481 43,848 Intel
89 CORE I7-4770K CPU @ 3.50GHZ 8 5,418 43,344 Intel
90 XEON CPU E3-1240 V2 @ 3.40GHZ 8 5,359 42,872 Intel
91 CORE I5-8250U CPU @ 1.60GHZ 8 4,788 38,304 Intel
92 CORE I5-8259U CPU @ 2.30GHZ 8 4,473 35,784 Intel
93 CORE I7-7700HQ CPU @ 2.80GHZ 8 4,339 34,712 Intel
94 XEON CPU E3-1245 V2 @ 3.40GHZ 8 4,177 33,416 Intel
95 XEON CPU E31245 @ 3.30GHZ 8 3,666 29,328 Intel
96 12TH GEN CORE I5-12600KF 16 1,661 26,576 Intel
97 CORE I5-10210U CPU @ 1.60GHZ 7 3,685 25,795 Intel
98 CORE I7-2760QM CPU @ 2.40GHZ 8 2,764 22,112 Intel
99 OPTERON(TM) 6380 64 334 21,376 AMD