The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
The classification of esterases: an important gene family involved in insecticide resistance - A review
Open accessAbstract
The use of chemical insecticides continues to play a major role in the control of disease vector populations, which is leading to the global dissemination of insecticide resistance. A greater capacity to detoxify insecticides, due to an increase in the expression or activity of three major enzyme families, also known as metabolic resistance, is one major resistance mechanisms. The esterase family of enzymes hydrolyse ester bonds, which are present in a wide range of insecticides; therefore, these enzymes may be involved in resistance to the main chemicals employed in control programs. Historically, insecticide resistance has driven research on insect esterases and schemes for their classification. Currently, several different nomenclatures are used to describe the esterases of distinct species and a universal standard classification does not exist. The esterase gene family appears to be rapidly evolving and each insect species has a unique complement of detoxification genes with only a few orthologues across species. The examples listed in this review cover different aspects of their biochemical nature. However, they do not appear to contribute to reliably distinguish among the different resistance mechanisms. Presently, the phylogenetic criterion appears to be the best one for esterase classification. Joint genomic, biochemical and microarray studies will help unravel the classification of this complex gene family.
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Cites
The Pfam Protein Families Database
Bateman, A. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.276 · Cited by 14,000
Protein structure prediction on the Web: a case study using the Phyre server
Kelley, L. A., & Sternberg, M. J. E. (2009) · Nature Protocols · doi:10.1038/nprot.2009.2 · Cited by 4,175
The Pfam protein families database
Punta, M., Coggill, P. C., Eberhardt, R. Y., Mistry, J., Tate, J., Boursnell, C., Pang, N., Forslund, K., Ceric, G., Clements, J., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1065 · Cited by 3,719
Ollis, D. L., Cheah, E., Cygler, M., Dijkstra, B., Frolow, F., Franken, S. M., Harel, M., Remington, S. J., Silman, I., Schrag, J., et al. (1992) · "Protein Engineering, Design and Selection" · doi:10.1093/protein/5.3.197 · Cited by 2,120
Molecular Mechanisms of Metabolic Resistance to Synthetic and Natural Xenobiotics
Li, X., Schuler, M. A., & Berenbaum, M. R. (2007) · Annual Review of Entomology · doi:10.1146/annurev.ento.51.110104.151104 · Cited by 2,109
Insecticide Resistance in Insect Vectors of Human Disease
Hemingway, J., & Ranson, H. (2000) · Annual Review of Entomology · doi:10.1146/annurev.ento.45.1.371 · Cited by 1,558
Ranson, H., N’Guessan, R., Lines, J., Moiroux, N., Nkuni, Z., & Corbel, V. (2011) · Trends in Parasitology · doi:10.1016/j.pt.2010.08.004 · Cited by 1,142
The molecular basis of insecticide resistance in mosquitoes
Hemingway, J., Hawkes, N. J., McCarroll, L., & Ranson, H. (2004) · Insect Biochemistry and Molecular Biology · doi:10.1016/j.ibmb.2004.03.018 · Cited by 1,109
Leeuwen, T. V., VONTAS, J. G., Tsagkarakou, A., Dermauw, W., & Tirry, L. (2010) · Insect Biochemistry and Molecular Biology · doi:10.1016/j.ibmb.2010.05.008 · Cited by 943
‘Interfacial activation’ of lipases: facts and artifacts
Verger, R. (1997) · Trends in Biotechnology · doi:10.1016/s0167-7799(96)10064-0 · Cited by 880
Cited by
Raghavendra, K., Prasad, K., Verma, V., Velamuri, P., & Pande, V. (2017) · Journal of Vector Borne Diseases · doi:10.4103/0972-9062.217613 · Cited by 35
Safi, N. H. Z., Ahmadi, A. A., Nahzat, S., Warusavithana, S., Safi, N., Valadan, R., Shemshadian, A., Sharifi, M., Enayati, A., & Hemingway, J. (2019) · Malaria Journal · doi:10.1186/s12936-019-2884-x · Cited by 29
Metadata
- Authors
- Montella, I. R., Schama, R., & Valle, D.
- Venue
- Memórias do Instituto Oswaldo Cruz
- Publisher
- FapUNIFESP (SciELO)
- Published
- 2012-06
- Volume
- 107
- Issue
- 4
- Pages
- 437-449
- ISSN
- 0074-0276 (ISSN-L)
- OpenAlex
- W2003177391
- Cited by
- 253
- References
- 80
- FWCI
- 3.14
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Montella, I. R., Schama, R., & Valle, D. (2012). The classification of esterases: an important gene family involved in insecticide resistance - A review. Memórias do Instituto Oswaldo Cruz. https://doi.org/10.1590/s0074-02762012000400001
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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