Cancer imposes a global health burden as it represents one of the leading causes of
morbidity and mortality while also giving rise to significant economic burden owing to the …

Natural products have been an integral part of sustaining civilizations because of their
medicinal properties. Past discoveries of bioactive natural products have relied on …

This paper focuses on landslide susceptibility prediction in Nanchuan, a high-risk landslide
disaster area. The evidential belief function (EBF)-based function tree (FT), logistic …

Anticancer peptides (ACPs) have emerged as a new class of therapeutic agent for cancer
treatment due to their lower toxicity as well as greater efficacy, selectivity and specificity …

Sustainable water resources management in arid and semi-arid areas needs robust models,
which allow accurate and reliable predictive modeling. This issue has motivated the …

In spite of the large-scale production and widespread distribution of vaccines and antiviral
drugs, viruses remain a prominent human disease. Recently, the discovery of antiviral …

Groundwater (GW) is being uncontrollably exploited in various parts of the world resulting
from huge needs for water supply as an outcome of population growth and industrialization …

To explore the predictive performance of machine learning on the recurrence of patients with
gastric cancer after the operation. The available data is divided into two parts. In particular …

Aim: Toxicity arising from hemolytic activity of peptides hinders its further progress as drug
candidates. Materials & methods: This study describes a sequence-based predictor based …

Understanding of quorum-sensing peptides (QSPs) in their functional mechanism plays an
essential role in finding new opportunities to combat bacterial infections by designing drugs …