RESEARCH: CANCER
FOLDING PROJECT #18419 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 tries to use computer simulations to design better mini-proteins that fight bacteria. Mini-proteins are small, lab-made proteins that can block harmful bacterial activity. The project aims to predict how changes in the mini-protein's design will affect its ability to bind to a specific bacterial target, helping scientists create more effective antibiotics.

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: Biopharmaceuticals
Biotechnology / Drug Discovery

Molecular simulation is a computational technique used to study the behavior of molecules and their interactions. It involves creating mathematical models of molecules and using them to predict how they will behave under different conditions. This can be used to design new drugs, materials, and other products.


affinity maturation

The process of increasing the binding affinity of an antibody or protein.

Scientific: Biopharmaceuticals
Biotechnology / Immunology

Affinity maturation is a biological process that increases the strength of the interaction between an antibody and its target antigen. This is achieved through repeated rounds of mutation and selection, where antibodies with higher affinity are favored. Affinity maturation is crucial for the development of effective vaccines and therapeutic antibodies.


mini-protein

A small protein with a defined function.

Technical: Biopharmaceuticals
Biotechnology / Protein Engineering

Mini-proteins are short, engineered proteins that retain their biological activity despite their compact size. They offer advantages over traditional antibodies, such as lower production costs and improved tissue penetration. Mini-proteins have potential applications in various fields, including drug discovery, diagnostics, and biomaterials.


LapG

L.A.P. protease G.

Technical: Biopharmaceuticals
Biotechnology / Pathology

LapG is a bacterial enzyme involved in biofilm formation. Biofilms are complex communities of bacteria that can resist antibiotics and host immune responses. Targeting LapG with inhibitors could be a potential strategy to combat bacterial infections.


periplasmic

Located in the periplasm.

Scientific: Biopharmaceuticals
Biotechnology / Microbiology

The periplasm is a space between the inner and outer membranes of gram-negative bacteria. It contains various enzymes and proteins involved in transport, metabolism, and cell wall synthesis.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:29:33
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:29:33
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 13TH GEN CORE I9-13900KS 32 24,826 794,432 Intel
2 RYZEN 9 7950X 16-CORE 32 23,673 757,536 AMD
3 RYZEN 9 3950X 16-CORE 32 20,605 659,360 AMD
4 RYZEN 7 5800X 8-CORE 16 39,998 639,968 AMD
5 RYZEN 9 5950X 16-CORE 32 19,967 638,944 AMD
6 RYZEN 7 5800X3D 8-CORE 16 35,125 562,000 AMD
7 RYZEN 9 5900X 12-CORE 24 22,850 548,400 AMD
8 12TH GEN CORE I5-12400F 12 38,074 456,888 Intel
9 12TH GEN CORE I9-12900K 24 18,606 446,544 Intel
10 RYZEN 9 3900 12-CORE 24 18,404 441,696 AMD
11 CORE I9-9980XE CPU @ 3.00GHZ 36 10,589 381,204 Intel
12 CORE I7-7820X CPU @ 3.60GHZ 16 23,071 369,136 Intel
13 RYZEN 7 5700X 8-CORE 16 22,074 353,184 AMD
14 12TH GEN CORE I7-12700K 20 17,460 349,200 Intel
15 13TH GEN CORE I5-13500 20 17,121 342,420 Intel
16 RYZEN 7 5700G 16 20,964 335,424 AMD
17 11TH GEN CORE I7-11700K @ 3.60GHZ 16 20,473 327,568 Intel
18 12TH GEN CORE I7-12700F 20 16,175 323,500 Intel
19 RYZEN 9 3900XT 12-CORE 24 13,019 312,456 AMD
20 11TH GEN CORE I9-11900K @ 3.50GHZ 16 19,206 307,296 Intel
21 CORE I9-10920X CPU @ 3.50GHZ 24 12,736 305,664 Intel
22 RYZEN 7 3800X 8-CORE 16 17,016 272,256 AMD
23 12TH GEN CORE I5-12600K 16 16,873 269,968 Intel
24 CORE I9-10900X CPU @ 3.70GHZ 20 13,205 264,100 Intel
25 RYZEN 9 3900X 12-CORE 24 10,123 242,952 AMD
26 RYZEN 9 5900 12-CORE 24 10,023 240,552 AMD
27 RYZEN 9 5900HS 16 13,603 217,648 AMD
28 APPLE M1 MAX 10 21,397 213,970 Apple
29 CORE I9-10850K CPU @ 3.60GHZ 20 10,681 213,620 Intel
30 CORE I7-5960X CPU @ 3.00GHZ 16 13,272 212,352 Intel
31 RYZEN 5 5600X 6-CORE 12 16,709 200,508 AMD
32 RYZEN 7 5800H 16 12,382 198,112 AMD
33 RYZEN 5 3600X 6-CORE 12 16,277 195,324 AMD
34 RYZEN 5 5600 6-CORE 12 16,263 195,156 AMD
35 CORE I7-8700 CPU @ 3.20GHZ 12 16,103 193,236 Intel
36 CORE I9-9900K CPU @ 3.60GHZ 16 11,381 182,096 Intel
37 CORE I7-9700K CPU @ 3.60GHZ 8 22,735 181,880 Intel
38 XEON CPU E5-2680 V3 @ 2.50GHZ 24 7,521 180,504 Intel
39 13TH GEN CORE I7-13700 24 7,509 180,216 Intel
40 XEON CPU E5-2698 V4 @ 2.20GHZ 16 11,031 176,496 Intel
41 11TH GEN CORE I9-11900F @ 2.50GHZ 16 10,704 171,264 Intel
42 CORE I7-9700 CPU @ 3.00GHZ 8 20,389 163,112 Intel
43 RYZEN 7 PRO 4750G 16 10,184 162,944 AMD
44 RYZEN 7 1700 EIGHT-CORE 16 9,831 157,296 AMD
45 RYZEN 5 3600 6-CORE 12 12,855 154,260 AMD
46 CORE I7-6950X CPU @ 3.00GHZ 20 7,616 152,320 Intel
47 RYZEN 5 3500 6-CORE 6 24,533 147,198 AMD
48 RYZEN 7 2700X EIGHT-CORE 16 9,131 146,096 AMD
49 RYZEN 7 3700X 8-CORE 16 8,229 131,664 AMD
50 CORE I7-10700 CPU @ 2.90GHZ 16 8,024 128,384 Intel
51 CORE I5-8400 CPU @ 2.80GHZ 6 21,316 127,896 Intel
52 12TH GEN CORE I9-12900H 20 6,369 127,380 Intel
53 XEON CPU E5-2670 0 @ 2.60GHZ 32 3,765 120,480 Intel
54 XEON GOLD 6128 CPU @ 3.40GHZ 12 9,256 111,072 Intel
55 CORE I7-7700K CPU @ 4.20GHZ 8 13,700 109,600 Intel
56 GENUINE CPU 0000 @ 2.70GHZ 8 13,489 107,912 Intel
57 XEON CPU E5-2665 0 @ 2.40GHZ 32 3,245 103,840 Intel
58 12TH GEN CORE I3-12100F 8 12,668 101,344 Intel
59 11TH GEN CORE I7-11850H @ 2.50GHZ 16 6,234 99,744 Intel
60 11TH GEN CORE I5-11400 @ 2.60GHZ 12 8,297 99,564 Intel
61 CORE I5-10400 CPU @ 2.90GHZ 12 8,253 99,036 Intel
62 11TH GEN CORE I7-11800H @ 2.30GHZ 16 6,179 98,864 Intel
63 CORE I3-10105F CPU @ 3.70GHZ 8 11,490 91,920 Intel
64 CORE I7-5820K CPU @ 3.30GHZ 12 7,606 91,272 Intel
65 RYZEN 5 2600X SIX-CORE 12 7,458 89,496 AMD
66 CORE I7-8705G CPU @ 3.10GHZ 8 9,972 79,776 Intel
67 12TH GEN CORE I7-12700H 20 3,846 76,920 Intel
68 CORE I7-10700T CPU @ 2.00GHZ 16 4,764 76,224 Intel
69 CORE I7-4790K CPU @ 4.00GHZ 8 9,318 74,544 Intel
70 CORE I5-8350U CPU @ 1.70GHZ 8 9,128 73,024 Intel
71 RYZEN 5 1600 SIX-CORE 12 5,877 70,524 AMD
72 CORE I7-4770K CPU @ 3.50GHZ 8 8,558 68,464 Intel
73 CORE I7-6700K CPU @ 4.00GHZ 8 8,527 68,216 Intel
74 CORE I5-8600T CPU @ 2.30GHZ 6 10,566 63,396 Intel
75 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 7,911 63,288 Intel
76 APPLE M1 8 7,903 63,224 Apple
77 CORE I7-6700HQ CPU @ 2.60GHZ 8 7,705 61,640 Intel
78 XEON CPU E5-2680 0 @ 2.70GHZ 16 3,688 59,008 Intel
79 CORE I9-8950HK CPU @ 2.90GHZ 12 4,789 57,468 Intel
80 RYZEN 7 4700U 8 6,954 55,632 AMD
81 XEON CPU E5-2650L V4 @ 1.70GHZ 28 1,920 53,760 Intel
82 CORE I7-4770HQ CPU @ 2.20GHZ 8 6,028 48,224 Intel
83 11TH GEN CORE I7-1185G7 @ 3.00GHZ 8 5,807 46,456 Intel
84 RYZEN 5 2400G 8 5,707 45,656 AMD
85 APPLE M1 PRO 10 4,487 44,870 Apple
86 CORE I7-10610U CPU @ 1.80GHZ 8 5,604 44,832 Intel
87 XEON CPU E5-2650 V3 @ 2.30GHZ 20 2,189 43,780 Intel
88 CORE I7-3770 CPU @ 3.40GHZ 8 5,151 41,208 Intel
89 XEON CPU E5-1630 V3 @ 3.70GHZ 8 4,966 39,728 Intel
90 CORE I7-4765T CPU @ 2.00GHZ 8 4,732 37,856 Intel
91 XEON CPU E3-1240 V2 @ 3.40GHZ 8 4,613 36,904 Intel
92 CORE I5-10210U CPU @ 1.60GHZ 7 5,184 36,288 Intel
93 CORE I7-7700HQ CPU @ 2.80GHZ 8 4,323 34,584 Intel
94 12TH GEN CORE I5-12600KF 16 2,143 34,288 Intel
95 XEON CPU E3-1245 V2 @ 3.40GHZ 8 3,941 31,528 Intel
96 XEON CPU E31245 @ 3.30GHZ 8 3,559 28,472 Intel
97 FX-8350 EIGHT-CORE 8 3,514 28,112 AMD
98 RYZEN 7 3700U 8 3,054 24,432 AMD
99 CORE I5-7200U CPU @ 2.50GHZ 4 5,960 23,840 Intel
100 FX-6100 SIX-CORE 6 1,643 9,858 AMD