Prediction and analysis of GH14 family β-amylases in oat seedling extract: Structure and function insights using in silico approaches

• Published in: International journal of biological macromolecules Vol. 125; pp. 361 - 369
• Main Author: Ben Halima, Nihed
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 15.03.2019
• Subjects: active sites; Avena sativa; beta-amylase; Bioinformatic analysis; bioinformatics; catalytic activity; complementary DNA; expressed sequence tags; Glycoside hydrolases; molecular weight; oats; peptides; polyacrylamide gel electrophoresis; prediction; proteins; seedlings; tandem mass spectrometry; transcriptome; trypsin; Avena sativa; Bioinformatic analysis; Glycoside hydrolases

Oat (Avena sativa L.) seedling extract exhibited a high degree of catalytic activities. Bioinformatics were used to identify β-amylases as abundant enzymes in the oat seedling extract. These identified oat enzymes are a member of the GH14 family. Proteins in the Avena sativa seedling extract were se...