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Cited by 1,236

The DOI matches its OpenAlex record; 1 of the 1 references it cites were found in a registry or an index.

Bacterial lipolytic enzymes: classification and properties

Open access
J. L. Arpigny, Karl‐Erich Jaeger·1999·Biochemical Journal

Abstract

Knowledge of bacterial lipolytic enzymes is increasing at a rapid and exciting rate. To obtain an overview of this industrially very important class of enzymes and their characteristics, we have collected and classified the information available from protein and nucleotide databases. Here we propose an updated and extensive classification of bacterial esterases and lipases based mainly on a comparison of their amino acid sequences and some fundamental biological properties. These new insights result in the identification of eight different families with the largest being further divided into six subfamilies. Moreover, the classification enables us to predict (1) important structural features such as residues forming the catalytic site or the presence of disulphide bonds, (2) types of secretion mechanism and requirement for lipase-specific foldases, and (3) the potential relationship to other enzyme families. This work will therefore contribute to a faster identification and to an easier characterization of novel bacterial lipolytic enzymes.

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OpenAlex · 10.1042/0264-6021:3430177

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Metadata

Authors
Arpigny, J. L., & Jaeger, K.
Venue
Biochemical Journal
Publisher
Portland Press
Published
1999-09-24
Volume
343
Issue
1
Pages
177-177
ISSN
0264-6021 (ISSN-L)
OpenAlex
W2044646870
Cited by
1,236
References
1
FWCI
14.84
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Bacterial lipolytic enzymes: classification and properties. https://app.cochat.ai/papers/10.1042/0264-6021:3430177
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Arpigny, J. L., & Jaeger, K. (1999). Bacterial lipolytic enzymes: classification and properties. Biochemical Journal. https://doi.org/10.1042/0264-6021%3A3430177

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.