From structure to function in Musashi-RNA complexes
This review article surveys how computational modeling, molecular dynamics, and AI-derived structures help explain Musashi-RNA recognition in both cellular regulation and viral pathogenesis.
This review article surveys how computational modeling, molecular dynamics, and AI-derived structures help explain Musashi-RNA recognition in both cellular regulation and viral pathogenesis.
This article explains a workflow for refining protein-RNA complexes by combining AI-based structural models with flexible docking and enhanced sampling.
This study combines computational and biophysical analysis to characterize a long-range RNA-RNA interaction in Japanese encephalitis virus and to test the role of the conserved cyclization sequence.
Molecular dynamics and binding-energy calculations are used here to compare how Musashi-1 recognizes different RNA motifs and to identify determinants of binding specificity.
Biophysical and computational characterization of the tertiary structure of sense and antisense lincRNA-p21 Alu inverted repeats.