RESEARCH: CANCER
FOLDING PROJECT #18416 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 uses computer simulations to predict how changes to a mini-protein can make it bind more strongly to a bacteria target. The goal is to design better antibiotics by creating 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

Using computer models to simulate molecular interactions.

Technical: Biopharmaceuticals
Biotechnology / Protein Engineering

Molecular simulation is a powerful technique used in biotechnology and pharmacology to understand how molecules interact at the atomic level. Researchers use computer algorithms to model these interactions, allowing them to predict the behavior of molecules in various environments and conditions.


affinity-maturation

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

Technical: Biopharmaceuticals
Biotechnology / Drug Discovery

Affinity maturation is a crucial step in drug development where researchers aim to enhance the binding strength between a drug molecule and its intended target. This involves making subtle changes to the drug's structure, guided by experimental data and computational modeling, to optimize its interaction with the target.


de novo

From scratch; newly created.

Technical: Biopharmaceuticals
Biotechnology / Protein Engineering

De novo refers to the design and creation of biological molecules, such as proteins or DNA sequences, from scratch. This involves using computational tools and knowledge of molecular structure and function to build novel biomolecules with desired properties.


mini-proteins

Small proteins with specific functions.

Technical: Biopharmaceuticals
Biotechnology / Protein Engineering

Mini-proteins are small, engineered proteins designed to perform specific biological tasks. These compact molecules offer advantages over traditional antibodies, such as improved stability and tissue penetration, making them promising candidates for therapeutic applications.


binding affinity

The strength of the interaction between two molecules.

Technical: Biopharmaceuticals
Biotechnology / Drug Discovery

Binding affinity describes how strongly a molecule, such as a drug or antibody, binds to its target. High binding affinity indicates a strong interaction, essential for effective therapeutic action.


single-point mutations

Changes in a single nucleotide within a DNA sequence.

Technical: Biopharmaceuticals
Biotechnology / Protein Engineering

Single-point mutations involve altering a single nucleotide base pair within a DNA sequence. These changes can have diverse effects on protein structure and function, making them valuable tools for studying gene regulation and protein evolution.


periplasmic protease

A type of enzyme found in the periplasm of bacteria.

Scientific: Biotechnology
Microbiology / Bacterial Physiology

Periplasmic proteases are enzymes located in the periplasm, a space between the cell membrane and the outer membrane of certain bacteria. These proteases play crucial roles in bacterial physiology, including protein degradation, nutrient acquisition, and defense mechanisms.


biofilm formation

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

Scientific: Biotechnology
Microbiology / Bacterial Pathogenesis

Biofilm formation is a complex process where bacteria adhere to surfaces, multiply, and produce a protective matrix that encases the community. Biofilms are highly resilient structures that play a role in bacterial pathogenesis, antibiotic resistance, and environmental persistence.


antibiotic therapies

Treatments using antibiotics to fight bacterial infections.

Medical: Biopharmaceuticals
Pharmacology / Infectious Diseases

Antibiotic therapies are essential for treating bacterial infections. These treatments involve administering medications that target and kill or inhibit the growth of bacteria.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:29:38
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:29:38
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 7950X 16-CORE 32 21,422 685,504 AMD
2 RYZEN 7 5800X 8-CORE 16 40,543 648,688 AMD
3 12TH GEN CORE I7-12700K 20 29,976 599,520 Intel
4 RYZEN 9 7900 12-CORE 24 24,331 583,944 AMD
5 RYZEN 7 7700X 8-CORE 16 36,388 582,208 AMD
6 RYZEN 7 5800X3D 8-CORE 16 33,150 530,400 AMD
7 RYZEN 9 5900X 12-CORE 24 20,246 485,904 AMD
8 RYZEN 9 5950X 16-CORE 32 14,949 478,368 AMD
9 RYZEN 7 5700G 16 27,017 432,272 AMD
10 RYZEN 9 3900 12-CORE 24 16,951 406,824 AMD
11 RYZEN 7 5700X 8-CORE 16 22,183 354,928 AMD
12 RYZEN 9 3950X 16-CORE 32 10,502 336,064 AMD
13 11TH GEN CORE I9-11900K @ 3.50GHZ 16 20,707 331,312 Intel
14 RYZEN 9 3900XT 12-CORE 24 13,067 313,608 AMD
15 RYZEN 9 3900X 12-CORE 24 13,012 312,288 AMD
16 RYZEN 5 7600 6-CORE 12 25,795 309,540 AMD
17 12TH GEN CORE I7-12700F 20 15,467 309,340 Intel
18 11TH GEN CORE I7-11700K @ 3.60GHZ 16 18,894 302,304 Intel
19 RYZEN 7 3800X 8-CORE 16 16,975 271,600 AMD
20 12TH GEN CORE I9-12900K 24 11,232 269,568 Intel
21 XEON CPU E5-2680 V3 @ 2.50GHZ 24 11,149 267,576 Intel
22 12TH GEN CORE I5-12600K 16 15,730 251,680 Intel
23 CORE I9-7920X CPU @ 2.90GHZ 24 10,355 248,520 Intel
24 13TH GEN CORE I5-13600K 14 17,285 241,990 Intel
25 XEON CPU E5-2690 V4 @ 2.60GHZ 28 8,393 235,004 Intel
26 RYZEN THREADRIPPER 2950X 16-CORE 32 7,333 234,656 AMD
27 CORE I9-10850K CPU @ 3.60GHZ 20 11,677 233,540 Intel
28 RYZEN 5 5600 6-CORE 12 19,356 232,272 AMD
29 CORE I7-10700K CPU @ 3.80GHZ 16 14,315 229,040 Intel
30 CORE I9-7940X CPU @ 3.10GHZ 28 7,955 222,740 Intel
31 EPYC 7401P 24-CORE 48 4,616 221,568 AMD
32 CORE I9-10900X CPU @ 3.70GHZ 20 10,803 216,060 Intel
33 RYZEN 9 5900HS 16 13,288 212,608 AMD
34 CORE I9-9900K CPU @ 3.60GHZ 16 12,709 203,344 Intel
35 RYZEN 5 5600G 12 16,860 202,320 AMD
36 RYZEN 5 5600X 6-CORE 12 16,305 195,660 AMD
37 12TH GEN CORE I3-12100F 8 23,739 189,912 Intel
38 13TH GEN CORE I7-13700 24 7,666 183,984 Intel
39 CORE I7-9700 CPU @ 3.00GHZ 8 22,943 183,544 Intel
40 XEON CPU E5-2680 V2 @ 2.80GHZ 40 4,268 170,720 Intel
41 RYZEN 7 5800H 16 10,546 168,736 AMD
42 CORE I7-8700 CPU @ 3.20GHZ 12 13,754 165,048 Intel
43 RYZEN 5 3500 6-CORE 6 27,233 163,398 AMD
44 RYZEN 7 PRO 4750G 16 9,593 153,488 AMD
45 CORE I7-9700K CPU @ 3.60GHZ 8 18,919 151,352 Intel
46 CORE I7-10700 CPU @ 2.90GHZ 16 9,270 148,320 Intel
47 XEON CPU E5-2698 V4 @ 2.20GHZ 16 9,083 145,328 Intel
48 RYZEN 5 3600 6-CORE 12 11,829 141,948 AMD
49 APPLE M1 MAX 10 13,725 137,250 Apple
50 RYZEN 7 3700X 8-CORE 16 8,522 136,352 AMD
51 CORE I5-10600KF CPU @ 4.10GHZ 12 11,023 132,276 Intel
52 RYZEN 5 2600X SIX-CORE 12 10,416 124,992 AMD
53 RYZEN 7 4800H 16 7,290 116,640 AMD
54 CORE I7-5820K CPU @ 3.30GHZ 12 9,436 113,232 Intel
55 CORE I7-7700K CPU @ 4.20GHZ 8 13,967 111,736 Intel
56 CORE I7-5930K CPU @ 3.50GHZ 12 8,716 104,592 Intel
57 11TH GEN CORE I9-11900F @ 2.50GHZ 16 6,522 104,352 Intel
58 CORE I9-8950HK CPU @ 2.90GHZ 12 8,457 101,484 Intel
59 XEON CPU E5-2650 V2 @ 2.60GHZ 32 3,056 97,792 Intel
60 GENUINE CPU 0000 @ 2.70GHZ 8 12,097 96,776 Intel
61 CORE I5-10400 CPU @ 2.90GHZ 12 7,941 95,292 Intel
62 CORE I7-10700T CPU @ 2.00GHZ 16 5,680 90,880 Intel
63 11TH GEN CORE I5-11400 @ 2.60GHZ 12 7,076 84,912 Intel
64 XEON CPU E5-2670 0 @ 2.60GHZ 32 2,612 83,584 Intel
65 CORE I7-8705G CPU @ 3.10GHZ 8 10,080 80,640 Intel
66 RYZEN 5 1600 SIX-CORE 12 6,233 74,796 AMD
67 CORE I3-10100F CPU @ 3.60GHZ 8 9,095 72,760 Intel
68 XEON CPU E3-1270 V5 @ 3.60GHZ 8 8,819 70,552 Intel
69 CORE I3-10105F CPU @ 3.70GHZ 8 8,602 68,816 Intel
70 RYZEN 5 2600 SIX-CORE 12 5,718 68,616 AMD
71 RYZEN 7 2700X EIGHT-CORE 16 4,279 68,464 AMD
72 APPLE M1 8 8,310 66,480 Apple
73 CORE I7-6700K CPU @ 4.00GHZ 8 8,215 65,720 Intel
74 CORE I5-8600T CPU @ 2.30GHZ 6 10,908 65,448 Intel
75 EPYC 7251 8-CORE 16 4,048 64,768 AMD
76 CORE I5-9500 CPU @ 3.00GHZ 6 10,551 63,306 Intel
77 CORE I7-10750H CPU @ 2.60GHZ 12 5,157 61,884 Intel
78 XEON CPU E5-1630 V3 @ 3.70GHZ 8 7,704 61,632 Intel
79 CORE I7-4790 CPU @ 3.60GHZ 8 7,590 60,720 Intel
80 11TH GEN CORE I5-1135G7 @ 2.40GHZ 8 7,565 60,520 Intel
81 XEON CPU E5-2680 0 @ 2.70GHZ 16 3,675 58,800 Intel
82 11TH GEN CORE I7-11370H @ 3.30GHZ 8 6,932 55,456 Intel
83 CORE I7-4770HQ CPU @ 2.20GHZ 8 6,471 51,768 Intel
84 CORE I7-4790T CPU @ 2.70GHZ 8 6,265 50,120 Intel
85 11TH GEN CORE I7-1165G7 @ 2.80GHZ 8 6,137 49,096 Intel
86 CORE I7-3770 CPU @ 3.40GHZ 8 6,021 48,168 Intel
87 CORE I7-4790K CPU @ 4.00GHZ 8 5,852 46,816 Intel
88 APPLE M1 PRO 10 4,653 46,530 Apple
89 CORE I7-4770 CPU @ 3.40GHZ 8 5,555 44,440 Intel
90 RYZEN 5 5500U 12 3,438 41,256 AMD
91 CORE I5-8265U CPU @ 1.60GHZ 8 4,523 36,184 Intel
92 RYZEN 5 PRO 2400G 8 4,447 35,576 AMD
93 XEON CPU E3-1245 V2 @ 3.40GHZ 8 4,445 35,560 Intel
94 XEON CPU E5-2650L V4 @ 1.70GHZ 28 1,261 35,308 Intel
95 CORE I7-4770K CPU @ 3.50GHZ 8 4,311 34,488 Intel
96 CORE I7-3770K CPU @ 3.50GHZ 8 4,100 32,800 Intel
97 XEON CPU E31245 @ 3.30GHZ 8 4,097 32,776 Intel
98 RYZEN 5 2400G 8 3,678 29,424 AMD
99 XEON CPU E5-2697 V2 @ 2.70GHZ 24 1,158 27,792 Intel
100 CORE I5-10210U CPU @ 1.60GHZ 7 3,830 26,810 Intel
101 CORE I7-2760QM CPU @ 2.40GHZ 8 2,859 22,872 Intel
102 CORE I7 CPU 975 @ 3.33GHZ 8 2,304 18,432 Intel
103 CORE I7-4700MQ CPU @ 2.40GHZ 8 1,302 10,416 Intel
104 RYZEN 5 3500X 6-CORE 6 AMD