Background Flaxseed meal, the de-oiled by-product of flaxseed processing, has been
extensively studied as a rich source of protein (with protein content up to 40%). Flaxseed …

Peptides, short-chained amino acids, have shown great potentials toward the investigation
and evolution of novel medications for treatment or therapy. The wet-lab based discovery of …

Recently, machine learning methods have been developed to identify various peptide bio-
activities. However, due to the lack of experimentally validated peptides, machine learning …

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the novel coronavirus
which caused the coronavirus disease 2019 pandemic and infected more than 12 million …

Due to technological advancement, data size has seen a significant increase both in terms
of features and instances. An efficient way to handle large sized datasets is to apply data …

Cancer remains one of the major causes of death worldwide. Angiogenesis is crucial for the
pathogenesis of various human diseases, especially solid tumors. The discovery of anti …

Background: Angiogenesis plays a vital role in the pathogenesis of several human diseases,
particularly in the case of solid tumors. In the realm of cancer treatment, recent investigations …

Bioactive peptides are typically small functional peptides with 2–20 amino acid residues and
play versatile roles in metabolic and biological processes. Bioactive peptides are multi …

Background: Angiogenesis is one of the critical physiological processes, by which the new
blood vessels are generated from the pre-existing vessels in the early stage of …

Recently, deep learning techniques have been developed for various bioactive peptide
prediction tasks. However, there are only conventional machine learning-based methods for …