Computational Modeling of Low-Abundance Proteins in Venom Gland Transcriptomes: <i>Bothrops asper</i> and <i>Bothrops jararaca</i>.

ABSTRACT: 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, Jalview, and CHIMERA, we analyzed sequences and structural features of proteins including arylsulfatase, CRISP (Cysteine-Rich Secretory Protein), von Willebrand factor type D (vWFD), and dihydroorotate dehydrogenase (DHODH), and identified potential new isoforms of SVMP-PIIIb (Ba_1) and botrocetin in B. asper. Protein models were generated with AlphaFold2, compared with crystallized structures from the Protein Data Bank (PDB), and

SUBMITTER: Espin-Angulo J 

PROVIDER: S-EPMC12197698 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature