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Figure 1- New photoacoustic probes are allowing scientists to explore deeper into the brain as they can label and visualise neurons. Here, the scientific illustration features their novel photoacoustic dye that is used for labelling and imaging deep inside a mouse’s brain. Credit: Isabel Romero Calvo/EMBL

Figure 1 -The proximity of mitochondria to micronuclei drives micronuclear membrane rupture through mitochondria-derived reactive oxygen species (ROS). ROS inhibit micronuclear export, leading to the excessive accumulation of CHMP7, a scaffolding protein associated with the nuclear membrane repair complex ESCRT-III. ROS-dependent cysteine oxidation promotes CHMP7 self-aggregation and its aberrant binding to the membrane protein LEMD2, causing micronuclear collapse. [Figure created with BioRender.com]

CircRNAs involved in the hallmarks of cancer. a CDR1as and circHIPK3 active cell proliferative through regulating EGFR; (b) Circ-ITCH et al. promote cancer cells evading antigrowth signals by preventing expression or activation of tumor suppressors, such as PTEN and CDK; (c) Hsa_circ_0007534 et al. promote cancer cells evading cell death via regulating cellular apoptosis or autophagy; (d) Has-circ-0020397 limits replicative potential of cancer cell trough regulating TERT; (e) CircRNA-MYLK et al. sustain angiogenesis trough regulating VEGF; (f) Dirc-10,720 et al. regulate the process of EMT and thus tissue invasion and metastasis of cancer

Schematic representation of the Wnt/β-catenin signaling pathway and the oncology-indication drug candidates discussed in the paper. The molecular targets (where known) of the small molecule and antibody-based drug candidates are shown.

Graph Convolutional Networks (GCNs) have revolutionized the field of drug design by enabling the effective processing and learning from molecular graphs. These networks extend the principles of convolutional neural networks (CNNs) to non-Euclidean data structures, specifically graphs, where nodes represent entities (e.g., atoms in molecules) and edges denote relationships (e.g., chemical bonds). This article explores the fundamental concepts of GCNs, their adaptation to the complexities of molecular data, and showcases their diverse applications in predicting molecular properties, virtual screening, de novo molecular design, and beyond.

La vie est belle, parce que la lutte est belle ! Non pas la lutte ensanglantée, fruit de la tyrannie et ses passions mauvaises, celle qu`entretiennent l`ignorance et la routine, mais la sainte lutte des âmes poursuivant la vérité, la lumière et la justice. (Pierre de Coubertin)