We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Thermostable Laccases from Bacteria

00:00

Formal Metadata

Title
Thermostable Laccases from Bacteria
Title of Series
Number of Parts
22
Author
License
CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
ChemistryTemperaturbeständigkeitAzo couplingRadical (chemistry)BiophysicsLevomethadonDeterrence (legal)BrothSubstrat <Chemie>ProteinLactoseAngiotensin-converting enzymeSoilPhenol formaldehyde resinAmino acidEnzymePolymerLigninMultiprotein complexBiomolecular structureTiermodellChemistryFood additiveSet (abstract data type)Chemical structureSimulationTemperaturbeständigkeitLecture/Conference
Transcript: English(auto-generated)
My project is about protein chemistry, more specifically on the class of enzyme called lacases, which catalyze degradation of phenolic compounds in nature. One notable thing about the lacases is the broad substrate specificity, which includes complex polymers such as lignin. Another
important point about the lacases is that they are quite stable. They are an extracellular enzyme that are secreted to the environment in order to scavenge the soil for these hardly soluble substrates. This makes the lacases more
stable than your average protein, which is exemplified by their thermostability. Many lacases can function at up to 60 degrees or even higher. These two traits, the broad substrate specificity and thermostability makes the lacases a natural candidate as a catalytic enzyme in industrial
applications. However, despite three decades of intense research, only a few such applications have been commercialized. My project is to tie together some of these many datasets that are available with some
new simulations of the three-dimensional structure, tie them into a statistical model that will help to predict the stability of the lacase directly from the sequence of amino acids. With this model, I will hopefully be able to identify new mutants of lacases with enhanced
thermostability. And as a proof of concept, I will turn to the