RESEARCH: CANCER
FOLDING PROJECT #18405 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 uses computer simulations to predict how changes to mini-proteins affect their ability to bind to a bacterial enzyme (LapG). By making more accurate predictions, researchers hope to design better antibiotics and make treatments more effective.

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.

Technical: Pharmaceutical
Biotechnology / Protein Engineering

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


Affinity maturation

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

Technical: Pharmaceutical
Biotechnology / Drug Discovery

Affinity maturation is like fine-tuning a lock and key. It involves making small changes to a molecule (the 'key') so that it binds more strongly to its target (the 'lock'). This is important in drug development, as molecules with higher affinity are more effective.


De novo designed protein binders

Proteins created from scratch using computer design.

Scientific: Pharmaceutical
Biotechnology / Protein Engineering

De novo designed protein binders are brand new proteins built from the ground up using computer software. Researchers can program these proteins to have specific shapes and functions, making them useful for things like drug delivery or sensing.


Mini-proteins

Small proteins with specific functions.

Scientific: Pharmaceutical
Biotechnology / Protein Engineering

Mini-proteins are like tiny versions of regular proteins. They're small enough to be easy to make and study, but they can still do important jobs like binding to other molecules or catalyzing reactions.


Periplasmic protease

A type of enzyme found in the periplasm of bacteria.

Scientific: Pharmaceutical
Biotechnology / Microbiology

Periplasmic proteases are enzymes that break down proteins. They're located in the periplasm, a space between the inner and outer membranes of bacteria. These enzymes play important roles in bacterial metabolism and defense.


LapG

Leptospirilla protein G protease (an enzyme)

Scientific: Pharmaceutical
Biotechnology / Microbiology

LapG is a specific type of bacterial enzyme that helps control biofilm formation. Biofilms are communities of bacteria that stick together and protect themselves from the environment.


Biofilm formation

The process by which bacteria attach to surfaces and form communities.

Scientific: Pharmaceutical
Biotechnology / Microbiology

Biofilm formation is like bacteria building a city. They stick together on surfaces and create a protective layer around themselves. This makes them harder to treat with antibiotics.


Antibiotic therapies

Treatments that use drugs to kill or inhibit the growth of bacteria.

Technical: Pharmaceutical
Medicine / Infectious Diseases

Antibiotic therapies are used to treat bacterial infections. These medications work by killing or slowing down the growth of bacteria in the body.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:29:55
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 03:29:55
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 3950X 16-CORE 32 34,263 1,096,416 AMD
2 EPYC 7B12 64-CORE 64 14,560 931,840 AMD
3 13TH GEN CORE I9-13900KS 32 27,217 870,944 Intel
4 RYZEN 9 5950X 16-CORE 32 24,497 783,904 AMD
5 RYZEN 7 5800X 8-CORE 16 41,606 665,696 AMD
6 RYZEN 7 7700X 8-CORE 16 39,159 626,544 AMD
7 RYZEN 9 5900X 12-CORE 24 23,650 567,600 AMD
8 RYZEN 7 5800X3D 8-CORE 16 35,469 567,504 AMD
9 12TH GEN CORE I7-12700K 20 27,411 548,220 Intel
10 12TH GEN CORE I9-12900K 24 21,375 513,000 Intel
11 RYZEN 7 5700G 16 31,043 496,688 AMD
12 RYZEN 7 5700X 8-CORE 16 27,496 439,936 AMD
13 11TH GEN CORE I9-11900K @ 3.50GHZ 16 25,383 406,128 Intel
14 RYZEN THREADRIPPER 1950X 16-CORE 32 12,191 390,112 AMD
15 RYZEN 9 3900 12-CORE 24 15,811 379,464 AMD
16 11TH GEN CORE I7-11700K @ 3.60GHZ 16 23,163 370,608 Intel
17 EPYC 7V12 64-CORE 64 5,751 368,064 AMD
18 RYZEN 9 3900XT 12-CORE 24 14,409 345,816 AMD
19 RYZEN 7 3800X 8-CORE 16 20,875 334,000 AMD
20 CORE I9-10920X CPU @ 3.50GHZ 24 13,793 331,032 Intel
21 CORE I9-10900X CPU @ 3.70GHZ 20 16,056 321,120 Intel
22 CORE I9-10850K CPU @ 3.60GHZ 20 15,009 300,180 Intel
23 CORE I9-9900K CPU @ 3.60GHZ 16 18,239 291,824 Intel
24 RYZEN 5 5600 6-CORE 12 23,332 279,984 AMD
25 RYZEN 5 PRO 5650G 12 21,529 258,348 AMD
26 GENUINE 0000 @ 1.80GHZ 16 15,709 251,344 Intel
27 RYZEN 9 5900HS 16 14,982 239,712 AMD
28 RYZEN THREADRIPPER 3960X 24-CORE 48 4,849 232,752 AMD
29 RYZEN 9 3900X 12-CORE 24 9,445 226,680 AMD
30 RYZEN 5 5600X 6-CORE 12 18,878 226,536 AMD
31 CORE I7-10700K CPU @ 3.80GHZ 16 14,134 226,144 Intel
32 XEON CPU E5-2680 V3 @ 2.50GHZ 24 9,218 221,232 Intel
33 XEON CPU E5-2680 V2 @ 2.80GHZ 40 5,519 220,760 Intel
34 APPLE M1 MAX 10 22,034 220,340 Apple
35 RYZEN 5 2600X SIX-CORE 12 17,811 213,732 AMD
36 CORE I7-8700 CPU @ 3.20GHZ 12 16,618 199,416 Intel
37 RYZEN 7 5800H 16 12,407 198,512 AMD
38 RYZEN 5 5600G 12 16,327 195,924 AMD
39 RYZEN 7 3700X 8-CORE 16 11,756 188,096 AMD
40 CORE I7-8700K CPU @ 3.70GHZ 12 15,647 187,764 Intel
41 12TH GEN CORE I3-12100F 8 23,213 185,704 Intel
42 RYZEN 7 PRO 4750G 16 11,441 183,056 AMD
43 RYZEN 5 3600 6-CORE 12 14,594 175,128 AMD
44 XEON CPU E5-2697 V2 @ 2.70GHZ 24 7,245 173,880 Intel
45 XEON CPU E5-2665 0 @ 2.40GHZ 32 5,331 170,592 Intel
46 CORE I7-9700K CPU @ 3.60GHZ 8 21,284 170,272 Intel
47 CORE I5-10600KF CPU @ 4.10GHZ 12 13,570 162,840 Intel
48 12TH GEN CORE I9-12900H 20 7,843 156,860 Intel
49 XEON GOLD 6128 CPU @ 3.40GHZ 12 12,873 154,476 Intel
50 CORE I5-8400 CPU @ 2.80GHZ 6 24,428 146,568 Intel
51 CORE I7-9700 CPU @ 3.00GHZ 8 17,277 138,216 Intel
52 CORE I7-5820K CPU @ 3.30GHZ 12 11,379 136,548 Intel
53 RYZEN THREADRIPPER 2950X 16-CORE 32 4,265 136,480 AMD
54 RYZEN 9 4900HS 16 8,232 131,712 AMD
55 CORE I5-10400 CPU @ 2.90GHZ 12 10,822 129,864 Intel
56 CORE I7-5930K CPU @ 3.50GHZ 12 10,588 127,056 Intel
57 CORE I7-7700K CPU @ 4.20GHZ 8 14,674 117,392 Intel
58 11TH GEN CORE I5-11400 @ 2.60GHZ 12 9,590 115,080 Intel
59 CORE I7-3770 CPU @ 3.40GHZ 8 13,986 111,888 Intel
60 RYZEN 5 3400G 8 13,440 107,520 AMD
61 13TH GEN CORE I7-13700 24 4,436 106,464 Intel
62 CORE I7-7700 CPU @ 3.60GHZ 8 12,834 102,672 Intel
63 RYZEN 7 2700X EIGHT-CORE 16 6,223 99,568 AMD
64 CORE I7-10700T CPU @ 2.00GHZ 16 6,047 96,752 Intel
65 RYZEN 5 1600 SIX-CORE 12 7,410 88,920 AMD
66 XEON CPU E5-2670 0 @ 2.60GHZ 32 2,763 88,416 Intel
67 CORE I7-4790K CPU @ 4.00GHZ 8 11,028 88,224 Intel
68 XEON CPU E3-1270 V5 @ 3.60GHZ 8 10,649 85,192 Intel
69 CORE I7-8705G CPU @ 3.10GHZ 8 10,114 80,912 Intel
70 11TH GEN CORE I9-11900F @ 2.50GHZ 16 4,900 78,400 Intel
71 CORE I9-8950HK CPU @ 2.90GHZ 12 5,983 71,796 Intel
72 XEON CPU E5-1630 V3 @ 3.70GHZ 8 8,904 71,232 Intel
73 CORE I7-4770K CPU @ 3.50GHZ 8 8,570 68,560 Intel
74 XEON CPU E5-2680 0 @ 2.70GHZ 16 3,898 62,368 Intel
75 RYZEN 5 PRO 2400G 8 7,606 60,848 AMD
76 CORE I7-6700K CPU @ 4.00GHZ 8 7,478 59,824 Intel
77 CORE I7-9750H CPU @ 2.60GHZ 12 4,945 59,340 Intel
78 RYZEN 5 2400G 8 7,167 57,336 AMD
79 XEON W-10855M CPU @ 2.80GHZ 12 4,690 56,280 Intel
80 CORE I7-4770HQ CPU @ 2.20GHZ 8 7,015 56,120 Intel
81 APPLE M1 8 6,651 53,208 Apple
82 11TH GEN CORE I5-1145G7 @ 2.60GHZ 8 6,102 48,816 Intel
83 CORE I7-7700HQ CPU @ 2.80GHZ 8 5,681 45,448 Intel
84 XEON CPU E3-1245 V2 @ 3.40GHZ 8 5,261 42,088 Intel
85 XEON CPU E31245 @ 3.30GHZ 8 4,774 38,192 Intel
86 11TH GEN CORE I7-1165G7 @ 2.80GHZ 8 4,470 35,760 Intel
87 XEON CPU E3-1240 V2 @ 3.40GHZ 8 4,433 35,464 Intel
88 CORE I7-8550U CPU @ 1.80GHZ 8 3,816 30,528 Intel
89 CORE I7-3770K CPU @ 3.50GHZ 8 3,213 25,704 Intel
90 CORE I5-8350U CPU @ 1.70GHZ 8 2,080 16,640 Intel