RESEARCH: MICROORGANISM
FOLDING PROJECT #14311 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 127,200
Core: 0xa7
Status: Public

Related Projects

TLDR; 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.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL 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

.

RELATED TERMS GLOSSARY AI BETA

Note: Glossary items are a high level summary and may not be 100% accurate.

microorganism

A microscopic living being.

Scientific: Biotechnology
Microbiology / Extreme Environments

Microorganisms are tiny organisms that can only be seen with a microscope. They include bacteria, fungi, and viruses. Microorganisms play important roles in many ecosystems and have various applications in biotechnology.


β-galactosidase

An enzyme that breaks down lactose into glucose and galactose.

Technical: Pharmaceutical Research
Biochemistry / Enzyme Catalysis

β-galactosidase is an enzyme that helps break down the sugar lactose. It's found in many organisms, including bacteria and humans. In biotechnology, it's used to produce lactose-free milk and other dairy products.


amino acid

Building blocks of proteins.

Scientific: Pharmaceutical Research
Biochemistry / Protein Structure

Amino acids are the basic units that make up proteins. There are 20 different amino acids that can be linked together in various sequences to form proteins with diverse functions.


mutation

A change in the DNA sequence.

Scientific: Biotechnology
Genetics / Molecular Biology

Mutations are changes in the genetic code (DNA). They can be caused by various factors like errors during DNA replication or exposure to radiation. Mutations can have different effects, ranging from being harmless to causing diseases.


enzyme

A protein that catalyzes (speeds up) chemical reactions.

Technical: Pharmaceutical Research
Biochemistry / Catalysis

Enzymes are biological catalysts that speed up chemical reactions in living organisms. They are crucial for a wide range of processes, from digestion to DNA replication.


catalytic efficiency

A measure of how efficiently an enzyme catalyzes a reaction.

Technical: Pharmaceutical Research
Biochemistry / Enzyme Kinetics

Catalytic efficiency refers to how effectively an enzyme speeds up a chemical reaction. It's often measured by the rate at which the enzyme converts substrate into product.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:33:13
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PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:33:13
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