ElegansBot, a two-dimensional rigid body chain model, simulates various locomotion of C. elegans, including omega and delta turns, using Newtonian equations of motion.
Using sequence-determined functional genomic features instead of original genotypes can partially overcome challenges in genetic association studies, such as rare variant exclusion and population structure.
Integration of language model and geometric deep learning enables accurate and efficient genome-scale annotation of comprehensive protein-ligand binding sites.