Research section Research projects and references

Research: MICROORGANISM Folding Project #14311

Project #14311 overview

Project Summary AI Beta

This project relates to studying how tiny changes in a cold-loving bacteria's enzyme can make it work better at freezing temperatures. Scientists are using computer simulations to see how these tiny changes affect the enzyme, hoping to one day design better enzymes for various uses.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Prof. Vincent Voelz
Institution
Temple University

Work unit

Atoms
127,200
Core
0xa7
Status
Public
Source material

Official Project Description

Halorubrum lacusprofundi is a microorganism found in the extremely cold and hypersaline Deep Lake, Antarctica.

This microorganism has a polyextremophilic β-galactosidase that works to break down carbohydrates.

Recent work from the DasSarma group identified six key amino acid residues in β-galactosidase which, when mutated with amino acids conserved in homologs from mesophilic haloarchaea, induced significant changes to the catalytic efficiency of the enzyme and its temperature dependence (1).

We are running molecular simulations of β-galactosidase and its mutated variants to explore how these subtle sequence changes affect the behavior of this enzyme at various temperatures.

We will analyze the trajectory data to formulate explanations for the mechanisms that cause differences in catalytic efficiencies.

In the future, a better understanding of how evolved mutations help optimize enzyme efficiency may lead to improved methods for computational enzyme design. References

  1. Laye, V.

    J., Karan, R., Kim, J.-M., Pecher, W.

    T., DasSarma, P., & DasSarma, S.

    (2017).

    Key amino acid residues conferring enhanced enzyme activity at cold temperatures in an Antarctic polyextremophilic β-galactosidase.

    Proceedings of the National Academy of Sciences of the United States of America, 114(47), 12530–12535.

    http://doi.org/10.1073/pnas.1711542114

.

Performance data

Hardware Performance for Project 14311

Compare community-sampled Folding@Home output for the GPUs and CPUs processing this project.

Data as of Sunday, 02 August 2026 22:06:52

CPU PPD Averages Beta

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 29,526 944,832 AMD
2 RYZEN 9 5950X 16-CORE 32 12,797 409,504 AMD
3 RYZEN 7 5700X 8-CORE 16 18,459 295,344 AMD
4 XEON CPU E5-2690 V4 @ 2.60GHZ 28 5,720 160,160 Intel
5 RYZEN 5 3600 6-CORE 12 10,284 123,408 AMD
6 RYZEN 5 5600X 6-CORE 12 9,479 113,748 AMD
7 RYZEN 5 2600X SIX-CORE 12 9,251 111,012 AMD
8 12TH GEN CORE I9-12900K 24 2,804 67,296 Intel
9 RYZEN 3 3200G 4 11,681 46,724 AMD
10 CORE I5-7600 CPU @ 3.50GHZ 4 10,881 43,524 Intel
11 CORE I7-7700 CPU @ 3.60GHZ 8 5,119 40,952 Intel
12 CORE I5-7400 CPU @ 3.00GHZ 4 9,633 38,532 Intel
13 CORE I5-6600 CPU @ 3.30GHZ 4 8,342 33,368 Intel
14 CORE I5-6600K CPU @ 3.50GHZ 4 7,187 28,748 Intel
15 CORE I5-4590 CPU @ 3.30GHZ 4 6,982 27,928 Intel
16 CORE I5-3570K CPU @ 3.40GHZ 4 5,311 21,244 Intel
17 CORE I5-3210M CPU @ 2.50GHZ 4 2,324 9,296 Intel
18 XEON CPU @ 2.20GHZ 1 1,475 1,475 Intel
19 XEON CPU @ 2.30GHZ 1 1,191 1,191 Intel