DeepCys: Structure-based multiple cysteine function prediction method trained on deep neural network: Case study on domains of unknown functions belonging to COX2 domains.

Cysteine (Cys) is the most reactive amino acid participating in a wide range of biological functions. In-silico predictions complement the experiments to meet the need of functional characterization. Multiple Cys function prediction algorithm is scarce, in contrast to specific function prediction algorithms.

Genotype distribution in relation to viral load in a large cohort of Indian patients with chronic hepatitis C virus infection: A retrospective analysis.

Introduction: Hepatitis C virus (HCV) displays high genetic diversity, characterized by regional variations in the prevalence of genotype posing challenges to the development of vaccines and definitive treatment. Very few reports exist on the distribution and frequency change of HCV genotypes in India. In the present retrospective study, we aimed to understand the distribution pattern of HCV genotypes and viral load among HCV-infected patients attending the Asian Institute of Gastroenterology, Hyderabad, India, a tertiary care hospital.