RESEARCH: CANCER
FOLDING PROJECT #18423 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 80,500
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project uses computer simulations to predict how changes to a mini-protein's design will affect its ability to bind to a bacterial protein. The goal is to create better antibiotics by designing mini-proteins that block bacterial growth.

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

Simulations of molecular behavior using computer models.

Technical: Pharmaceutical Research
Biotechnology / Protein Engineering

Molecular simulation uses computer programs to mimic the interactions between atoms and molecules. This helps researchers understand how molecules behave in different environments and predict their properties.


affinity maturation

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

Scientific: Pharmaceutical Research
Biotechnology / Drug Development

Affinity maturation is a crucial step in drug development where scientists enhance the ability of a drug molecule (like an antibody) to bind strongly and specifically to its intended target.


mini-protein

Small proteins with specific functions.

Technical: Pharmaceutical Research
Biotechnology / Protein Engineering

Mini-proteins are smaller versions of traditional proteins, often designed for specific tasks like binding to target molecules or catalyzing reactions. Their compact size allows for easier production and manipulation.


periplasmic protease

An enzyme found in the periplasm of bacteria.

Scientific: Pharmaceutical Research
Biotechnology / Microbiology

Periplasmic proteases are enzymes located in the periplasm, a space between the cell membrane and the outer membrane of some bacteria. They play roles in protein degradation and other cellular processes.


biofilm

A community of microorganisms attached to a surface.

Scientific: Pharmaceutical Research
Biotechnology / Microbiology

Biofilms are communities of bacteria or other microbes that adhere to surfaces and enclose themselves in a protective matrix. This makes them more resistant to antibiotics and disinfectants.


LapG

Leucine aminopeptidase G.

Technical: Pharmaceutical Research
Biotechnology / Microbiology

LapG is a type of enzyme (leucine aminopeptidase) found in bacteria. It plays a role in the breakdown of proteins and is involved in biofilm formation.


antibiotic therapy

Treatment of bacterial infections using antibiotics.

Scientific: Pharmaceutical Research
Medicine / Infectious Diseases

Antibiotic therapy is the use of medications to treat bacterial infections. Antibiotics work by killing or inhibiting the growth of bacteria.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:29:27
Rank
Project
Model Name
Folding@Home Identifier
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Brand
GPU
Model
PPD
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:29:27
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 5950X 16-CORE 32 23,115 739,680 AMD
2 RYZEN 7 7700X 8-CORE 16 43,261 692,176 AMD
3 12TH GEN CORE I9-12900K 24 22,132 531,168 Intel
4 RYZEN 9 3950X 16-CORE 32 15,989 511,648 AMD
5 RYZEN 7 5800X3D 8-CORE 16 31,118 497,888 AMD
6 RYZEN 7 5700X 8-CORE 16 29,659 474,544 AMD
7 RYZEN 9 3900 12-CORE 24 18,000 432,000 AMD
8 11TH GEN CORE I7-11700K @ 3.60GHZ 16 26,334 421,344 Intel
9 RYZEN 9 5900X 12-CORE 24 17,415 417,960 AMD
10 RYZEN 7 5800X 8-CORE 16 25,910 414,560 AMD
11 12TH GEN CORE I7-12700K 20 18,228 364,560 Intel
12 12TH GEN CORE I7-12700 20 17,776 355,520 Intel
13 CORE I9-7920X CPU @ 2.90GHZ 24 14,222 341,328 Intel
14 EPYC 7401P 24-CORE 48 7,102 340,896 AMD
15 RYZEN 7 5700G 16 21,117 337,872 AMD
16 XEON CPU E5-2690 V4 @ 2.60GHZ 28 11,999 335,972 Intel
17 12TH GEN CORE I5-12600K 16 20,849 333,584 Intel
18 11TH GEN CORE I5-11600K @ 3.90GHZ 12 27,458 329,496 Intel
19 RYZEN THREADRIPPER 2970WX 24-CORE 48 6,536 313,728 AMD
20 CORE I9-10850K CPU @ 3.60GHZ 20 15,676 313,520 Intel
21 RYZEN 9 3900X 12-CORE 24 13,007 312,168 AMD
22 RYZEN 7 3800X 8-CORE 16 19,427 310,832 AMD
23 RYZEN 5 5600 6-CORE 12 25,220 302,640 AMD
24 RYZEN 9 3900XT 12-CORE 24 12,327 295,848 AMD
25 CORE I9-7940X CPU @ 3.10GHZ 28 10,545 295,260 Intel
26 GENUINE 0000 @ 1.80GHZ 16 17,849 285,584 Intel
27 RYZEN 5 5600X 6-CORE 12 22,607 271,284 AMD
28 XEON CPU E5-2680 V2 @ 2.80GHZ 40 6,677 267,080 Intel
29 CORE I7-10870H CPU @ 2.20GHZ 16 16,590 265,440 Intel
30 RYZEN 7 5800H 16 16,109 257,744 AMD
31 CORE I9-10900X CPU @ 3.70GHZ 20 12,499 249,980 Intel
32 RYZEN 5 PRO 5650G 12 20,726 248,712 AMD
33 XEON CPU E5-2680 V3 @ 2.50GHZ 24 10,116 242,784 Intel
34 13TH GEN CORE I7-13700 24 9,904 237,696 Intel
35 EPYC 7V12 64-CORE 64 3,659 234,176 AMD
36 RYZEN 9 5900 12-CORE 24 9,417 226,008 AMD
37 CORE I9-9900X CPU @ 3.50GHZ 20 11,234 224,680 Intel
38 CORE I9-9900K CPU @ 3.60GHZ 16 13,411 214,576 Intel
39 CORE I5-10600 CPU @ 3.30GHZ 12 17,294 207,528 Intel
40 XEON CPU E5-2665 0 @ 2.40GHZ 32 6,408 205,056 Intel
41 RYZEN 7 PRO 4750G 16 12,539 200,624 AMD
42 XEON CPU E5-2650 V2 @ 2.60GHZ 32 6,153 196,896 Intel
43 CORE I7-8700 CPU @ 3.20GHZ 12 15,862 190,344 Intel
44 RYZEN 5 3600 6-CORE 12 15,739 188,868 AMD
45 RYZEN 7 2700X EIGHT-CORE 16 11,378 182,048 AMD
46 CORE I7-10700K CPU @ 3.80GHZ 16 10,808 172,928 Intel
47 CORE I5-10400 CPU @ 2.90GHZ 12 14,197 170,364 Intel
48 11TH GEN CORE I9-11900K @ 3.50GHZ 16 10,453 167,248 Intel
49 11TH GEN CORE I9-11900F @ 2.50GHZ 16 10,179 162,864 Intel
50 XEON CPU E5-2698 V4 @ 2.20GHZ 16 9,997 159,952 Intel
51 CORE I7-9750H CPU @ 2.60GHZ 12 13,172 158,064 Intel
52 RYZEN 7 3700X 8-CORE 16 9,780 156,480 AMD
53 EPYC 7262 8-CORE 16 9,670 154,720 AMD
54 RYZEN 7 1800X EIGHT-CORE 16 9,446 151,136 AMD
55 CORE I7-5930K CPU @ 3.50GHZ 12 12,536 150,432 Intel
56 CORE I7-6950X CPU @ 3.00GHZ 20 7,358 147,160 Intel
57 RYZEN 5 2600X SIX-CORE 12 11,305 135,660 AMD
58 CORE I7-10700 CPU @ 2.90GHZ 16 8,189 131,024 Intel
59 XEON GOLD 6128 CPU @ 3.40GHZ 12 10,830 129,960 Intel
60 RYZEN 5 2600 SIX-CORE 12 10,570 126,840 AMD
61 CORE I7-10700T CPU @ 2.00GHZ 16 7,037 112,592 Intel
62 RYZEN 5 1600 SIX-CORE 12 9,298 111,576 AMD
63 11TH GEN CORE I5-11400 @ 2.60GHZ 12 8,903 106,836 Intel
64 CORE I9-8950HK CPU @ 2.90GHZ 12 8,253 99,036 Intel
65 XEON CPU E5-2680 0 @ 2.70GHZ 16 5,073 81,168 Intel
66 APPLE M1 PRO 10 7,005 70,050 Apple
67 XEON CPU E5-2620 V3 @ 2.40GHZ 12 5,116 61,392 Intel
68 XEON CPU X5650 @ 2.67GHZ 12 4,350 52,200 Intel
69 CORE I7-8850H CPU @ 2.60GHZ 12 4,159 49,908 Intel
70 XEON CPU E5-2620 0 @ 2.00GHZ 12 3,295 39,540 Intel
71 XEON CPU E5-2697 V2 @ 2.70GHZ 24 1,608 38,592 Intel