Despite the fact that deep learning has achieved remarkable success in various domains
over the past decade, its application in molecular informatics and drug discovery is still …

Introduction: Superparamagnetic iron oxide nanoparticle (SPION)-based carrier systems
have many advantages over other nanoparticle-based systems. They are biocompatible …

Abstract Graph Convolutional Neural Networks (Graph CNNs) are generalizations of
classical CNNs to handle graph data such as molecular data, point could and social …

Background At present, the pathogenesis of depression is not fully understood, and nearly
half of depression patients experience no obvious effects during treatment. This study aimed …

Background: Depression is a stress-related disorder that seriously threatens people's
physical and mental health. Xiaoyaosan is a classical traditional Chinese medicine formula …

Introduction Nivolumab treatment is subject to large interpatient variability in both efficacy
and toxicity, which may partly be explained by differences in nivolumab exposure. Exposure …

Understanding inter-subject variability in drug pharmacokinetics and pharmacodynamics is
important to ensure that all patients attain suitable drug exposure to achieve efficacy and …

Biologics, including but not limited to monoclonal antibodies (mAbs), cytokines, growth
factors, enzymes, hormones, vaccines, antibody fragments (eg Fabs), and antibody drug …

Biologics have emerged as a powerful and diverse class of molecular and cell‐based
therapies that are capable of replacing enzymes, editing genomes, targeting tumors, and …

Introduction: Psoriasis is a chronic inflammatory skin disease that is increasingly being
recognized as a complex disorder affecting multiple systems. Systemic inflammation is …