Modern mining and metal ore smelting produce vast tailings, increasing heavy metal
pollution. The study of heavy metal occurrence forms is a promising way to remediate …

Artificial intelligence (AI) for software engineering (SE) tasks has recently achieved
promising performance. In this article, we investigate to what extent the pre-trained language …

A recurrent neural network (RNN) is a machine learning model that learns the relationship
between elements of an input series, in addition to inferring a relationship between the data …

Ebola virus disease (EVD) is a highly virulent and often lethal illness that affects humans
through contact with the body fluid of infected persons. Glycoprotein and matrix protein VP40 …

Quantitative structure-retention relationship (QSRR) modeling has emerged as an efficient
alternative to predict analyte retention times using molecular descriptors. However, most …

Despite the large prevalence of diseases affecting cartilage (eg knee osteoarthritis affecting
16% of population globally), no curative treatments are available because of the limited …

Microtubules are receiving enormous interest in drug discovery due to the important roles
they play in cellular functions. Targeting tubulin polymerization presents an excellent …

Abstract Predicting Protein‐Ligand Binding Affinity (PLBA) is pivotal in drug development, as
accurate estimations of PLBA expedite the identification of promising drug candidates for …

Anaplastic lymphoma kinase (ALK), a tyrosine kinase receptor, is identified as a crucial
target in the progression of anticancer therapeutics for non-small cell lung cancer. This study …

Notch receptors play a significant role in the development and the regulation of cell-fate in
several multicellular organisms. For normal differentiation, genomes are essential as their …