Covering: up to the end of 2022 Microorganisms are exceptional sources of a wide array of
unique natural products and play a significant role in drug discovery. During the golden era …

Background Improving our understanding of cancer and other complex diseases requires
integrating diverse data sets and algorithms. Intertwining in vivo and in vitro data and in …

Results Inspired by recent advance of information passing and aggregation techniques that
generalize the convolution neural networks to mine large-scale graph data and greatly …

The fusion of machine learning (ML) and artificial intelligence (AI) is experiencing a dramatic
transition in the field of pharmaceutical research and development. This study examines the …

This year marks the 60 th anniversary of Russell and Burch's pioneering book, The
Principles of Humane Experimental Technique. Their 3Rs framework has helped to inspire …

Recent developments have prompted the transition of empirically based testing of late stage
toxicity in animals for a range of different endpoints including neurotoxicity to more efficient …

Identification of targets among known drugs plays an important role in drug repurposing and
discovery. Computational approaches for prediction of drug–target interactions (DTIs) are …

Determining the target genes that interact with drugs—drug–target interactions—plays an
important role in drug discovery. Identification of drug–target interactions through biological …

The fields of assisted reproductive technology (ART) and in vitro fertilization (IVF) have
progressed rapidly, yet still need further improvements. Microfluidic technology can …

To promote the transition of cell cultures from 2D to 3D, hydrogels are needed to biomimic
the extracellular matrix (ECM). One potential material for this purpose is gellan gum (GG), a …