A structural-chemical explanation of fungal laccase activity
Структурно-химическое объяснение активности грибных лакказ
2018-11-19
SCID: 54.1/dqn4j6ms
Discuss with AI
MMGBSA binding affinityQSAR modelingfungal laccasesmulti-copper oxidasesphenolic substrates
Figures from the paper
Abstract (AI)
Abstract Fungal laccases (EC 1.10.3.2) are multi-copper oxidases that oxidize a wide variety of substrates. Despite extensive studies, the molecular basis for their diverse activity is unclear. Notably, there is no current way to rationally predict the activity of a laccase toward a given substrate. Such knowledge would greatly facilitate the rational design of new laccases for technological purposes. We report a study of three datasets of experimental Km values and activities for Trametes versicolor and Cerrena unicolor laccase, using a range of protein modeling techniques. We identify diverse binding modes of the various substrates and confirm an important role of Asp-206 and His-458 (T. versicolor laccase numbering) in guiding substrate recognition. Importantly, we demonstrate that experimental Km values correlate with binding affinities computed by MMGBSA. This confirms the common assumption that the protein-substrate affinity is a major contributor to observed Km. From quantitative structure-activity relations (QSAR) we identify physicochemical properties that correlate with observed Km and activities. In particular, the ionization potential, shape, and binding affinity of the substrate largely determine the enzyme’s Km for the particular substrate. Our results suggest that Km is not just a binding constant but also contains features of the enzymatic activity. In addition, we identify QSAR models with only a few descriptors showing that phenolic substrates employ optimal hydrophobic packing to reach the T1 site, but then require additional electronic properties to engage in the subsequent electron transfer. Our results advance our ability to model laccase activity and lend promise to future rational optimization of laccases toward phenolic substrates.
Key Findings
1
Experimental Km values correlated with MMGBSA-computed binding affinities, supporting protein–substrate affinity as a major contributor to observed Km.
2
Km reflects not only binding strength but also features of enzymatic activity, including processes beyond initial substrate association.
3
Phenolic substrates require optimal hydrophobic packing to reach the T1 site and additional electronic properties to support subsequent electron transfer.
4
Protein modeling revealed diverse substrate-binding modes and confirmed Asp-206 and His-458 as important determinants of substrate recognition in fungal laccases.
5
QSAR analysis identified substrate ionization potential, molecular shape, and binding affinity as major determinants of laccase Km and activity.
Research Object
Fungal laccases from Trametes versicolor and Cerrena unicolor acting on diverse, particularly phenolic, substrates
Research Subject
The structural and physicochemical determinants of substrate recognition, binding affinity, Km, and enzymatic activity, including the roles of Asp-206 and His-458 and electron-transfer requirements
Publication Details
Publication Date
2018-11-19
Journal
Publisher
ISSN
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest
References available in scid.ai6
Lignin Biodegradation with Laccase-Mediator Systems2014
The Laccase Engineering Database: a classification and analysis system for laccases and related multicopper oxidases2011
Engineering and Applications of fungal laccases for organic synthesis2008
Fungal laccases – occurrence and properties2006
Crystal Structure of a Laccase from the FungusTrametes versicolor at 1.90-Å Resolution Containing a Full Complement of Coppers2002
The Protein Data Bank2000
Cited by3
Cellulose processing in ionic liquids from a materials science perspective: turning a versatile biopolymer into the cornerstone of our sustainable future2023
Fungal Laccases: Fundamentals, Engineering and Classification Update2023
Laccases: structure, function, and potential application in water bioremediation2019