Classification of protein sequences into functional and structural families based on machine
learning methods is a hot research topic in machine learning and Bioinformatics. In fact, the …

Deep-learning models have been effectively applied to the fabric defect detection field, in
which dilemmas still exist for further improving product quality. For the self-built digital …

Background Predicting disability risk in healthy older adults in China is essential for timely
preventive interventions, improving their quality of life, and providing scientific evidence for …

Proteins interact with carbohydrates to perform various cellular interactions. Of the many
carbohydrate ligands that proteins bind with, mannose constitute an important class, playing …

Recently, methods to big data are gaining a growing number of popularity, as we are
entering the age of big data. As a result, novel methods keep emerging, among which …

Shigellosis is a high burden gastrointestinal disease with an increased frequency of
antibiotic resistance. Type III secretion apparatus (T3SA) are conserved among different …

Since the reform began in our country, with the rapid economic growth in recent years, the
income level has grown extremely unequal, and it is difficult for the low-income poor to …

Diabetes Mellitus (DM) is a chronic metabolism that has symptom in a rise in blood sugar
level. In terms of the total number of DM patients worldwide, Indonesia comes in at the …

G protein-coupled receptors (GPCRs) play an essential role in critical human activities, and
they are considered targets for a wide range of drugs. Accordingly, based on these crucial …

Abstract Andrographis paniculata (Burm. f.) Wall. ex Nees (Acanthaceae) with immense
medicinal importance lacks information on its biosynthetic pathway genes and their …