Tag: structural biology

A T271D mutant of L-Pantolactone dehydrogenase shows an 8.2-fold increase in whole-cell catalytic activity for D-pantolactone production.

A new Soft-Voting framework weights common-line evidence by confidence, lowering orientation errors on synthetic low-SNR data and yielding competitive ab ...

A compact energy-based neural network called LEEN predicts protein stability changes from single amino acid substitutions using roughly 2 to ...

Researchers have developed GraphPepTox, a geometric deep learning framework that models spatial residue relationships to improve peptide toxicity prediction.

Structural studies reveal that suramin inhibits diverse viral RNA-dependent RNA polymerases by targeting conserved electropositive channels, providing a framework for ...

Researchers have demonstrated that secondary DNA aptamers can recognize ligand-induced conformational states in primary aptamers, establishing an alternative mode of ...

A meta-learning framework called RobPicker corrects annotation errors and reweights rare species, improving particle picking and 3D density map resolution ...

A comprehensive review details how deep neural networks are automating every stage of cryo-electron microscopy, from particle picking to high-resolution ...

The open-source MATLAB package tomoPoseLink quantifies protein chains, fibrils and lattice organization directly from subtomogram averaging data, demonstrated on Rubisco ...

A new review describes how molecular docking now supports PET probe development from virtual screening to tau tracer evaluation, while ...