RESEARCH: CANCER
FOLDING PROJECT #18415 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 explores using computer simulations to design better antibiotics. Researchers are trying to predict how tiny changes to protein structures can improve their ability to block harmful bacteria from forming biofilms, a major obstacle to antibiotic treatments.

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

The use of computer models to simulate molecular interactions.

Scientific: Pharmaceuticals
Biotechnology / Drug Discovery

Molecular simulation uses computer programs to mimic how molecules interact with each other. This can be used to study the behavior of proteins, DNA, and other biomolecules, which is helpful for drug discovery and understanding biological processes.


affinity maturation

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

Scientific: Pharmaceuticals
Biotechnology / Protein Engineering

Affinity maturation is like fine-tuning a protein's ability to latch onto its target molecule. It involves making small changes to the protein's structure to increase its strength of binding. This is important in drug development because it can lead to more effective therapies.


mini-proteins

Small proteins with specific functions.

Scientific: Pharmaceuticals
Biotechnology / Protein Engineering

Mini-proteins are like compact versions of regular proteins. They have fewer amino acids but can still perform important tasks. Their small size makes them attractive for drug development because they can be easier to produce and deliver.


binding affinity

The strength of the attraction between a protein and its target molecule.

Scientific: Pharmaceuticals
Biotechnology / Drug Discovery

Binding affinity describes how strongly a protein sticks to its target. The higher the affinity, the tighter the bond. This is crucial in drug development because drugs need to bind strongly to their targets to be effective.


periplasmic protease

An enzyme found in the periplasm of bacteria.

Scientific: Pharmaceuticals
Biotechnology / Bacterial Biology

Periplasmic proteases are enzymes that break down proteins within the periplasm, a space between the cell membrane and the outer membrane of bacteria. They play important roles in bacterial growth and survival.


LapG

Leucine aminopeptidase G.

Scientific: Pharmaceuticals
Biotechnology / Bacterial Biology

LapG is a specific type of periplasmic protease found in some bacteria. It plays a role in breaking down proteins and is involved in bacterial biofilm formation.


bacterial biofilm

A community of bacteria encased in a protective matrix.

Scientific: Pharmaceuticals
Biotechnology / Microbiology

Bacterial biofilms are like cities for bacteria. They're communities of bacteria that stick together and form a protective layer around themselves. This makes them resistant to antibiotics and other treatments, making them a challenge for healthcare.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:29:39
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 03:29:39
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 42,186 674,976 AMD
2 RYZEN 9 5950X 16-CORE 32 19,549 625,568 AMD
3 RYZEN 9 7900 12-CORE 24 25,367 608,808 AMD
4 RYZEN 7 7800X3D 8-CORE 16 35,537 568,592 AMD
5 RYZEN 9 7900X 12-CORE 24 23,101 554,424 AMD
6 RYZEN 9 3950X 16-CORE 32 15,063 482,016 AMD
7 RYZEN 7 5800X3D 8-CORE 16 28,848 461,568 AMD
8 RYZEN 7 7700X 8-CORE 16 28,777 460,432 AMD
9 12TH GEN CORE I9-12900K 24 18,233 437,592 Intel
10 RYZEN 7 5700X 8-CORE 16 24,330 389,280 AMD
11 12TH GEN CORE I7-12700K 20 18,727 374,540 Intel
12 CORE I7-7820X CPU @ 3.60GHZ 16 22,446 359,136 Intel
13 RYZEN 9 5900X 12-CORE 24 14,917 358,008 AMD
14 11TH GEN CORE I7-11700K @ 3.60GHZ 16 21,766 348,256 Intel
15 RYZEN 9 6900HS CREATOR EDITION 16 20,774 332,384 AMD
16 RYZEN 7 5700G 16 20,339 325,424 AMD
17 12TH GEN CORE I5-12600K 16 19,341 309,456 Intel
18 11TH GEN CORE I9-11900K @ 3.50GHZ 16 19,214 307,424 Intel
19 RYZEN 9 3900XT 12-CORE 24 12,464 299,136 AMD
20 RYZEN 7 3800X 8-CORE 16 17,765 284,240 AMD
21 RYZEN 9 3900X 12-CORE 24 11,265 270,360 AMD
22 RYZEN THREADRIPPER 2970WX 24-CORE 48 5,346 256,608 AMD
23 RYZEN 5 5600 6-CORE 12 21,145 253,740 AMD
24 CORE I7-10700K CPU @ 3.80GHZ 16 14,894 238,304 Intel
25 XEON CPU E5-2690 V4 @ 2.60GHZ 28 8,396 235,088 Intel
26 CORE I9-10900X CPU @ 3.70GHZ 20 11,564 231,280 Intel
27 12TH GEN CORE I5-12400 12 18,474 221,688 Intel
28 RYZEN 9 5900HS 16 12,709 203,344 AMD
29 XEON CPU E5-2680 V2 @ 2.80GHZ 40 5,006 200,240 Intel
30 CORE I7-9700K CPU @ 3.60GHZ 8 24,884 199,072 Intel
31 CORE I7-8700 CPU @ 3.20GHZ 12 16,527 198,324 Intel
32 RYZEN 9 5900 12-CORE 24 8,123 194,952 AMD
33 CORE I9-9900K CPU @ 3.60GHZ 16 11,639 186,224 Intel
34 RYZEN 5 5600X 6-CORE 12 14,319 171,828 AMD
35 XEON CPU E5-2698 V4 @ 2.20GHZ 16 10,395 166,320 Intel
36 RYZEN 5 3600 6-CORE 12 13,844 166,128 AMD
37 RYZEN 5 2600X SIX-CORE 12 13,810 165,720 AMD
38 CORE I5-10600 CPU @ 3.30GHZ 12 13,600 163,200 Intel
39 CORE I9-9900 CPU @ 3.10GHZ 16 10,091 161,456 Intel
40 RYZEN 7 PRO 4750G 16 10,039 160,624 AMD
41 XEON CPU E5-2680 V3 @ 2.50GHZ 24 6,498 155,952 Intel
42 XEON CPU E5-1660 V4 @ 3.20GHZ 16 9,604 153,664 Intel
43 RYZEN 5 5600G 12 12,798 153,576 AMD
44 12TH GEN CORE I9-12900H 20 7,613 152,260 Intel
45 RYZEN THREADRIPPER 3960X 24-CORE 48 3,130 150,240 AMD
46 12TH GEN CORE I3-12100F 8 18,692 149,536 Intel
47 XEON CPU E5-2697 V2 @ 2.70GHZ 24 5,775 138,600 Intel
48 RYZEN 7 3700X 8-CORE 16 8,099 129,584 AMD
49 11TH GEN CORE I7-11850H @ 2.50GHZ 16 7,210 115,360 Intel
50 CORE I7-7700K CPU @ 4.20GHZ 8 13,582 108,656 Intel
51 RYZEN 7 4800H 16 6,665 106,640 AMD
52 XEON CPU E5-2670 0 @ 2.60GHZ 32 3,059 97,888 Intel
53 XEON CPU E5-2650 V2 @ 2.60GHZ 32 2,965 94,880 Intel
54 CORE I7-9700 CPU @ 3.00GHZ 8 11,768 94,144 Intel
55 11TH GEN CORE I5-11400 @ 2.60GHZ 12 7,698 92,376 Intel
56 11TH GEN CORE I7-11800H @ 2.30GHZ 16 5,581 89,296 Intel
57 11TH GEN CORE I9-11900F @ 2.50GHZ 16 5,529 88,464 Intel
58 APPLE M1 MAX 10 8,794 87,940 Apple
59 RYZEN 5 1600 SIX-CORE 12 7,123 85,476 AMD
60 CORE I5-10400 CPU @ 2.90GHZ 12 6,834 82,008 Intel
61 CORE I7-8705G CPU @ 3.10GHZ 8 10,234 81,872 Intel
62 CORE I7-10700T CPU @ 2.00GHZ 16 5,045 80,720 Intel
63 CORE I7-4790K CPU @ 4.00GHZ 8 9,536 76,288 Intel
64 CORE I9-8950HK CPU @ 2.90GHZ 12 5,669 68,028 Intel
65 EPYC 7251 8-CORE 16 4,136 66,176 AMD
66 XEON CPU E5-2680 0 @ 2.70GHZ 16 4,077 65,232 Intel
67 CORE I5-8600T CPU @ 2.30GHZ 6 10,617 63,702 Intel
68 APPLE M1 8 7,810 62,480 Apple
69 XEON CPU E5-1630 V3 @ 3.70GHZ 8 7,806 62,448 Intel
70 CORE I7-6700 CPU @ 3.40GHZ 8 7,787 62,296 Intel
71 CORE I7-6700K CPU @ 4.00GHZ 8 7,691 61,528 Intel
72 CORE I7-6700HQ CPU @ 2.60GHZ 8 7,648 61,184 Intel
73 RYZEN 7 2700X EIGHT-CORE 16 3,778 60,448 AMD
74 CORE I7-4770HQ CPU @ 2.20GHZ 8 6,549 52,392 Intel
75 XEON W-10855M CPU @ 2.80GHZ 12 4,353 52,236 Intel
76 CORE I5-4590 CPU @ 3.30GHZ 4 12,580 50,320 Intel
77 CORE I7-4790T CPU @ 2.70GHZ 8 6,158 49,264 Intel
78 CORE I7-3770 CPU @ 3.40GHZ 8 6,152 49,216 Intel
79 CORE I7-4770K CPU @ 3.50GHZ 8 5,892 47,136 Intel
80 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 5,754 46,032 Intel
81 CORE I7-2600 CPU @ 3.40GHZ 8 5,339 42,712 Intel
82 CORE I5-8259U CPU @ 2.30GHZ 8 5,286 42,288 Intel
83 CORE I5-9300H CPU @ 2.40GHZ 8 5,142 41,136 Intel
84 XEON CPU E3-1240 V2 @ 3.40GHZ 8 4,947 39,576 Intel
85 11TH GEN CORE I7-1185G7 @ 3.00GHZ 8 4,754 38,032 Intel
86 CORE I5-8350U CPU @ 1.70GHZ 8 4,724 37,792 Intel
87 XEON CPU E3-1245 V2 @ 3.40GHZ 8 4,188 33,504 Intel
88 XEON CPU E31245 @ 3.30GHZ 8 4,063 32,504 Intel
89 CORE I7-7700 CPU @ 3.60GHZ 8 4,025 32,200 Intel
90 12TH GEN CORE I7-12700 20 1,560 31,200 Intel
91 12TH GEN CORE I7-12700KF 20 1,533 30,660 Intel
92 11TH GEN CORE I7-1165G7 @ 2.80GHZ 8 3,669 29,352 Intel
93 CORE I7-7700HQ CPU @ 2.80GHZ 8 3,462 27,696 Intel
94 CORE I5-10210U CPU @ 1.60GHZ 7 3,711 25,977 Intel
95 XEON CPU E5-2620 0 @ 2.00GHZ 12 2,120 25,440 Intel
96 RYZEN 7 3700U 8 2,976 23,808 AMD
97 CORE I7-4700MQ CPU @ 2.40GHZ 8 Intel