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Computational Modeling of Low-Abundance Proteins in Venom Gland Transcriptomes: Bothrops asper and B...

Computational Modeling of Low-Abundance Proteins in Venom Gland Transcriptomes: Bothrops asper and B...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_toxins17060262

Computational Modeling of Low-Abundance Proteins in Venom Gland Transcriptomes: Bothrops asper and Bothrops jararaca

About this item

Full title

Computational Modeling of Low-Abundance Proteins in Venom Gland Transcriptomes: Bothrops asper and Bothrops jararaca

Journal title

Toxins, 2025-05, Vol.17 (6), p.262

Language

English

Formats

More information

Scope and Contents

Contents

Snake venoms contain numerous toxic proteins, but low-abundance proteins often remain uncharacterized due to identification challenges. This study employs a bioinformatics approach to identify and structurally model low-abundance proteins from the venom gland transcriptomes of Bothrops asper and Bothrops jararaca. Using tools such as tblastn, Jalvi...

Alternative Titles

Full title

Computational Modeling of Low-Abundance Proteins in Venom Gland Transcriptomes: Bothrops asper and Bothrops jararaca

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_3390_toxins17060262

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3390_toxins17060262

Other Identifiers

ISSN

2072-6651

E-ISSN

2072-6651

DOI

10.3390/toxins17060262

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