A principal component regression model for predicting phytochemical binding to the H. pylori CagA protein

• Main Author: Janairo, Jose Isagani B.
• Format: text
• Published: Animo Repository 2020
• Subjects: Molecules—Computer-aided design; Machine learning; Binding energy; Linear free energy relationship; Biology; Chemistry
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2941
• Institution: De La Salle University

Helicobater pylori is an important causative factor in the pathogenesis of multiple gastrointestinal diseases. One of the factors responsible for the virulence of H. pylori is the cagA protein, which can interfere with a number of cellular signaling processes once this protein is transferred inside...