RESEARCH: CANCER
FOLDING PROJECT #18421 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 in a mini-protein's design will affect its ability to bind to a bacterial protein. The goal is to create better antibiotics by finding mini-proteins that can block the target protein and prevent bacteria from forming biofilms.

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

Using computer models to simulate molecular interactions.

Scientific: Pharmaceutical Research
Biotechnology / Computational Biology

Molecular simulation uses computer programs to mimic how atoms and molecules interact. This helps scientists understand chemical reactions, design new materials, and study biological processes.


affinity-maturation

A process of improving the binding affinity (strength) of a molecule to its target.

Scientific: Pharmaceutical Research
Biotechnology / Drug Discovery

Affinity maturation is like fine-tuning a molecular key to fit a lock perfectly. Scientists use it to create drugs that bind more strongly to their targets, making them more effective.


de novo

Latin for 'from new'; used to describe the design of something entirely from scratch.

Scientific: Pharmaceutical Research
Biotechnology / Protein Engineering

De novo means designing something completely new. In protein engineering, it refers to creating proteins from scratch based on computer models.


protein binders

Molecules that bind specifically to target proteins.

Scientific: Pharmaceutical Research
Biotechnology / Drug Discovery

Protein binders are like molecular handcuffs that attach to specific proteins. This can be used to block harmful protein activity or activate beneficial ones.


mini-proteins

Small proteins with a defined function.

Scientific: Pharmaceutical Research
Biotechnology / Protein Engineering

Mini-proteins are like compact versions of regular proteins. They often have specific functions and can be easier to design and produce.


periplasmic protease

A type of enzyme found in the periplasmic space of bacteria.

Scientific: Pharmaceutical Research
Biotechnology / Microbiology

Periplasmic proteases are enzymes that break down proteins. They are located in a specific region between the inner and outer membranes of bacteria.


LapG

A bacterial protein involved in biofilm formation.

Scientific: Pharmaceutical Research
Biotechnology / Microbiology

LapG is a specific protein that helps bacteria build biofilms. Biofilms are communities of bacteria that can be resistant to antibiotics.


biofilm

A structured community of microorganisms.

Scientific: Pharmaceutical Research
Biotechnology / Microbiology

A biofilm is like a city for bacteria. They attach to surfaces and create a protective layer around themselves.


antibiotic therapies

Treatments using antibiotics to fight bacterial infections.

Scientific: Pharmaceutical Research
Biotechnology / Pharmaceutical Research

Antibiotic therapies use drugs to kill or inhibit the growth of bacteria. They are essential for treating bacterial infections.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:29:30
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 03:29:30
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 20,134 1,288,576 AMD
2 13TH GEN CORE I9-13900KS 32 33,921 1,085,472 Intel
3 RYZEN 9 7950X 16-CORE 32 33,031 1,056,992 AMD
4 RYZEN 9 5950X 16-CORE 32 17,996 575,872 AMD
5 RYZEN 7 7700X 8-CORE 16 35,260 564,160 AMD
6 12TH GEN CORE I7-12700K 20 26,843 536,860 Intel
7 12TH GEN CORE I9-12900K 24 22,347 536,328 Intel
8 RYZEN 5 7600 6-CORE 12 40,851 490,212 AMD
9 RYZEN 9 5900X 12-CORE 24 20,145 483,480 AMD
10 RYZEN 7 5700X 8-CORE 16 29,782 476,512 AMD
11 RYZEN 9 3900 12-CORE 24 19,438 466,512 AMD
12 12TH GEN CORE I7-12700 20 21,414 428,280 Intel
13 RYZEN 7 5800X3D 8-CORE 16 25,632 410,112 AMD
14 11TH GEN CORE I7-11700K @ 3.60GHZ 16 25,451 407,216 Intel
15 CORE I9-10900K CPU @ 3.70GHZ 20 19,355 387,100 Intel
16 RYZEN 7 5800X 8-CORE 16 23,831 381,296 AMD
17 RYZEN 9 3900XT 12-CORE 24 15,053 361,272 AMD
18 RYZEN 9 3950X 16-CORE 32 10,659 341,088 AMD
19 XEON CPU E5-2690 V4 @ 2.60GHZ 28 12,093 338,604 Intel
20 12TH GEN CORE I5-12400 12 27,966 335,592 Intel
21 RYZEN 5 5600 6-CORE 12 27,609 331,308 AMD
22 12TH GEN CORE I5-12600K 16 20,212 323,392 Intel
23 CORE I9-7920X CPU @ 2.90GHZ 24 12,921 310,104 Intel
24 EPYC 7401P 24-CORE 48 6,450 309,600 AMD
25 CORE I7-10700K CPU @ 3.80GHZ 16 19,348 309,568 Intel
26 RYZEN 9 3900X 12-CORE 24 12,821 307,704 AMD
27 11TH GEN CORE I5-11400F @ 2.60GHZ 12 25,316 303,792 Intel
28 RYZEN 7 3800X 8-CORE 16 18,980 303,680 AMD
29 11TH GEN CORE I5-11600K @ 3.90GHZ 12 24,897 298,764 Intel
30 CORE I9-10850K CPU @ 3.60GHZ 20 14,233 284,660 Intel
31 XEON CPU E5-2680 V3 @ 2.50GHZ 24 10,632 255,168 Intel
32 RYZEN 5 PRO 5650G 12 20,882 250,584 AMD
33 11TH GEN CORE I9-11900K @ 3.50GHZ 16 15,365 245,840 Intel
34 RYZEN 7 5700G 16 15,314 245,024 AMD
35 RYZEN 9 5900 12-CORE 24 10,056 241,344 AMD
36 CORE I9-9900 CPU @ 3.10GHZ 16 14,965 239,440 Intel
37 RYZEN 5 5600G 12 18,749 224,988 AMD
38 CORE I9-7940X CPU @ 3.10GHZ 28 7,949 222,572 Intel
39 CORE I7-8700 CPU @ 3.20GHZ 12 18,172 218,064 Intel
40 RYZEN 5 5600X 6-CORE 12 15,969 191,628 AMD
41 CORE I9-9900K CPU @ 3.60GHZ 16 11,754 188,064 Intel
42 RYZEN 5 3600 6-CORE 12 15,120 181,440 AMD
43 RYZEN 7 3700X 8-CORE 16 10,971 175,536 AMD
44 CORE I9-9900KF CPU @ 3.60GHZ 16 10,481 167,696 Intel
45 XEON CPU X5660 @ 2.80GHZ 24 6,945 166,680 Intel
46 RYZEN 7 PRO 4750G 16 10,098 161,568 AMD
47 CORE I7-10700 CPU @ 2.90GHZ 16 9,542 152,672 Intel
48 CORE I5-10400F CPU @ 2.90GHZ 12 12,366 148,392 Intel
49 CORE I7-5930K CPU @ 3.50GHZ 12 12,328 147,936 Intel
50 CORE I7-5820K CPU @ 3.30GHZ 12 11,995 143,940 Intel
51 XEON CPU E5-2698 V4 @ 2.20GHZ 16 8,772 140,352 Intel
52 11TH GEN CORE I5-11400 @ 2.60GHZ 12 10,986 131,832 Intel
53 CORE I5-10400 CPU @ 2.90GHZ 12 10,938 131,256 Intel
54 CORE I7-9750H CPU @ 2.60GHZ 12 10,808 129,696 Intel
55 11TH GEN CORE I9-11900F @ 2.50GHZ 16 7,997 127,952 Intel
56 RYZEN 5 1600 SIX-CORE 12 9,390 112,680 AMD
57 RYZEN 7 2700X EIGHT-CORE 16 7,012 112,192 AMD
58 CORE I7-10700T CPU @ 2.00GHZ 16 6,912 110,592 Intel
59 XEON CPU E5-2620 V3 @ 2.40GHZ 12 8,417 101,004 Intel
60 RYZEN 9 5900HS 16 6,238 99,808 AMD
61 RYZEN 5 2600X SIX-CORE 12 8,303 99,636 AMD
62 CORE I9-8950HK CPU @ 2.90GHZ 12 7,825 93,900 Intel
63 XEON CPU E5-2697 V2 @ 2.70GHZ 24 3,891 93,384 Intel
64 APPLE M1 PRO 10 6,649 66,490 Apple
65 XEON CPU E5-2680 0 @ 2.70GHZ 16 3,878 62,048 Intel
66 XEON CPU E5-2620 0 @ 2.00GHZ 12 2,965 35,580 Intel
67 12TH GEN CORE I7-12700H 20 1,050 21,000 Intel
68 RYZEN 5 2600 SIX-CORE 12 AMD