Graph neural networks (GNNs) have been effectively implemented in a variety of real-world applications, although their underlying work mechanisms remain a mystery.To unveil this mystery and advocate for trustworthy decision-making, many GNN explainers have been proposed.However, existing explainers often face significant challenges, such as the fol
Molecular aspects of tumor cell migration and invasion
Cell migration and invasion are crucial steps in many physiological events.However, hard steel shot they are also implicated in the physiopathology of many diseases, such as cancer.To spread through the tissues, tumor cells use mechanisms that involve several molecular actors: adhesion receptor families, receptor tyrosine kinases, cytoskeleton prot
3-Carboxyquinolin-1-ium-2-carboxylate monohydrate
The title compound, C11H7NO4·H2O, contains a 3-carboxyquinolin-1-ium-2-carboxylate (qda) zwitterion and one water molecule.In the crystal, pairs of N—H.O hydrogen bonds link the molecules into inversion dimers, and these dimers are further connected by O—H.O whirlwind direct2 hydrogen bonds into a three-dimensional supr
Application of improved intelligent ant colony algorithm in protein folding prediction
While the single ant colony algorithm and the fish swarm algorithm have many advantages, they also have various shortcomings.After analyzing the advantages and disadvantages of the ant colony algorithm and the fish swarm algorithm, this paper uses the complementary dv0426-301 principle of the two algorithms to effectively fuse the two population in
Wrecked regulation of intrinsically disordered proteins in diseases: Pathogenicity of deregulated regulators
Biologically active proteins without stable tertiary structure are common in all known proteomes.Functions of these intrinsically disordered proteins (IDPs) are typically related to regulation, signaling and control.Cellular levels of these important regulators are tightly regulated by a variety mechanisms ranging from firmly controlled expression