ArticleCommunications biology2022
Identification of fungal lignocellulose-degrading biocatalysts secreted by Phanerochaete chrysosporium via activity-based protein profiling.
Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Identification and Expression Analysis of the β-1,3-Glucanase Gene Family in the MycoparasiticMicroorganisms · 2026Article
- Sustainable Pretreatment of Food Waste for Enhanced Bioethanol Production and Improved Waste Management: A Review.Food science & nutrition · 2026Review
- Hyaluronidase: structure, mechanism of action, diseases and therapeutic targets.Molecular biomedicine · 2025Review
- Activity-Based Protein Profiling Identifies an α-Amylase Family Protein Contributing to the Virulence of Methicillin-ResistantACS infectious diseases · 2025Article
- Activity-Based Protein Profiling of Serine Hydrolases in Bacteria: Methods and Protocols.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Mapping the Evolution of Activity-Based Protein Profiling: A Bibliometric Review.Advanced pharmaceutical bulletin · 2023Article
- Harnessing extremophilic carboxylesterases for applications in polyester depolymerisation and plastic waste recycling.Essays in biochemistry · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Activity-based protein profiling (ABPP) has emerged as a versatile biochemical method for studying enzyme activity under various physiological conditions, with applications so far mainly in biomedicine. Here, we show the potential of ABPP in the discovery of biocatalysts from the thermophilic and lignocellulose-degrading white rot fungus Phanerochaete chrysosporium. By employing a comparative ABPP-based functional screen, including a direct profiling of wood substrate-bound enzymes, we identify those lignocellulose-degrading carbohydrate esterase (CE1 and CE15) and glycoside hydrolase (GH3, GH5, GH16, GH17, GH18, GH25, GH30, GH74 and GH79) enzymes specifically active in presence of the substrate. As expression of fungal enzymes remains challenging, our ABPP-mediated approach represents a preselection procedure for focusing experimental efforts on the most promising biocatalysts. Furthermore, this approach may also allow the functional annotation of domains-of-unknown functions (DUFs). The ABPP-based biocatalyst screening described here may thus allow the identification of active enzymes in a process of interest and the elucidation of novel biocatalysts that share no sequence similarity to known counterparts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.