RESEARCH: CANCER
FOLDING PROJECT #18409 PROFILE

PROJECT TEAM

Manager(s): Prof. Vincent Voelz
Institution: Temple University

WORK UNIT INFO

Atoms: 64,500
Core: 0xa8
Status: Public

TLDR; PROJECT SUMMARY AI BETA

This project uses computer simulations to predict how tiny protein changes can make them better at binding to a bacterial enzyme. This could lead to new, 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.

.

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: Biotechnology
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 simulating their movements and interactions over time. This can be used to understand how drugs interact with target proteins, design new molecules with desired properties, and predict the outcome of chemical reactions.


affinity maturation

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

scientific: Biotechnology
Biotechnology / Drug Discovery

Affinity maturation is a process used in drug development to enhance the strength of the interaction between a drug and its target. It involves making gradual changes to the drug's structure to increase its binding affinity, which leads to more effective drug action.


mini-protein

A small protein with a defined function.

scientific: Biotechnology
Biotechnology / Protein Engineering

Mini-proteins are engineered proteins designed to be significantly smaller than traditional proteins while retaining their biological activity. They offer advantages in terms of production efficiency, stability, and targeted delivery.


periplasmic protease

A protease enzyme located in the periplasm of bacteria.

scientific: Biotechnology
Microbiology / Bacterial Physiology

Periplasmic proteases are enzymes found in the periplasm, a space between the cell membrane and the outer membrane of bacteria. They play various roles in bacterial physiology, including protein degradation, nutrient recycling, and defense against environmental stresses.


LapG

A periplasmic protease involved in bacterial biofilm formation.

technical: Biotechnology
Microbiology / Bacterial Physiology

LapG is a specific type of periplasmic protease that has been identified as playing a key role in the formation of biofilms, which are complex communities of bacteria. It helps regulate the process by breaking down proteins within the biofilm.


biofilm

A community of bacteria encased in a self-produced matrix.

technical: Biotechnology
Microbiology / Bacterial Physiology

Biofilms are communities of bacteria that adhere to surfaces and enclose themselves in a protective matrix composed of polysaccharides, proteins, and DNA. They are highly resistant to antibiotics and disinfectants, posing challenges for healthcare and industrial applications.


antibiotic therapy

The use of antibiotics to treat bacterial infections.

technical: Pharmaceuticals
Medicine / Infectious Diseases

Antibiotic therapy is a medical treatment that involves the administration of antibiotics to combat bacterial infections. Antibiotics work by inhibiting the growth or killing bacteria, thereby reducing the severity and duration of the infection.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:29:49
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 03:29:49
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 7900X 12-CORE 24 33,808 811,392 AMD
2 13TH GEN CORE I9-13900KS 32 24,757 792,224 Intel
3 RYZEN THREADRIPPER 3960X 24-CORE 48 15,936 764,928 AMD
4 RYZEN 9 7900 12-CORE 24 31,827 763,848 AMD
5 RYZEN 7 7700X 8-CORE 16 37,002 592,032 AMD
6 RYZEN 9 5950X 16-CORE 32 17,906 572,992 AMD
7 12TH GEN CORE I9-12900K 24 22,428 538,272 Intel
8 RYZEN 9 3950X 16-CORE 32 14,958 478,656 AMD
9 RYZEN 9 3900 12-CORE 24 19,548 469,152 AMD
10 12TH GEN CORE I7-12700K 20 22,562 451,240 Intel
11 RYZEN 7 5800X 8-CORE 16 27,212 435,392 AMD
12 RYZEN 7 5800X3D 8-CORE 16 27,081 433,296 AMD
13 EPYC 7V12 64-CORE 64 6,520 417,280 AMD
14 RYZEN 7 5700X 8-CORE 16 24,984 399,744 AMD
15 11TH GEN CORE I7-11700K @ 3.60GHZ 16 23,430 374,880 Intel
16 CORE I9-7920X CPU @ 2.90GHZ 24 15,282 366,768 Intel
17 RYZEN 9 5900X 12-CORE 24 14,706 352,944 AMD
18 12TH GEN CORE I7-12700 20 17,202 344,040 Intel
19 12TH GEN CORE I5-12400 12 26,565 318,780 Intel
20 RYZEN 9 3900XT 12-CORE 24 12,720 305,280 AMD
21 CORE I9-10850K CPU @ 3.60GHZ 20 15,021 300,420 Intel
22 12TH GEN CORE I7-12700F 20 14,986 299,720 Intel
23 RYZEN 7 3800X 8-CORE 16 18,029 288,464 AMD
24 CORE I9-7940X CPU @ 3.10GHZ 28 10,279 287,812 Intel
25 RYZEN 7 5700G 16 17,803 284,848 AMD
26 RYZEN 9 3900X 12-CORE 24 11,601 278,424 AMD
27 CORE I9-10900X CPU @ 3.70GHZ 20 13,481 269,620 Intel
28 RYZEN 9 5900 12-CORE 24 10,424 250,176 AMD
29 CORE I9-9900 CPU @ 3.10GHZ 16 14,721 235,536 Intel
30 XEON CPU E5-2680 V3 @ 2.50GHZ 24 9,428 226,272 Intel
31 12TH GEN CORE I9-12900H 20 11,276 225,520 Intel
32 XEON CPU E5-2650 V2 @ 2.60GHZ 32 6,958 222,656 Intel
33 11TH GEN CORE I9-11900K @ 3.50GHZ 16 13,799 220,784 Intel
34 RYZEN 5 3600 6-CORE 12 18,333 219,996 AMD
35 CORE I9-9900X CPU @ 3.50GHZ 20 10,152 203,040 Intel
36 XEON CPU E5-2665 0 @ 2.40GHZ 32 6,276 200,832 Intel
37 CORE I9-9900K CPU @ 3.60GHZ 16 12,338 197,408 Intel
38 RYZEN 7 PRO 4750G 16 12,125 194,000 AMD
39 12TH GEN CORE I5-12600K 16 12,034 192,544 Intel
40 11TH GEN CORE I7-11850H @ 2.50GHZ 16 11,960 191,360 Intel
41 11TH GEN CORE I5-11400F @ 2.60GHZ 12 14,262 171,144 Intel
42 RYZEN 7 3700X 8-CORE 16 9,669 154,704 AMD
43 EPYC 7262 8-CORE 16 9,038 144,608 AMD
44 CORE I7-10870H CPU @ 2.20GHZ 16 8,399 134,384 Intel
45 11TH GEN CORE I9-11900F @ 2.50GHZ 16 8,379 134,064 Intel
46 11TH GEN CORE I7-11800H @ 2.30GHZ 16 8,065 129,040 Intel
47 CORE I7-6950X CPU @ 3.00GHZ 20 6,293 125,860 Intel
48 XEON CPU E5-2670 0 @ 2.60GHZ 32 3,440 110,080 Intel
49 CORE I7-10700T CPU @ 2.00GHZ 16 6,700 107,200 Intel
50 XEON CPU E5-2690 V2 @ 3.00GHZ 20 5,353 107,060 Intel
51 CORE I9-9880H CPU @ 2.30GHZ 16 6,290 100,640 Intel
52 XEON CPU E5-2680 0 @ 2.70GHZ 16 6,181 98,896 Intel
53 RYZEN 7 4800H 16 6,046 96,736 AMD
54 RYZEN 7 2700X EIGHT-CORE 16 5,944 95,104 AMD
55 XEON CPU X5660 @ 2.80GHZ 24 3,375 81,000 Intel