Deep learning (DL) algorithms have increasingly been applied to predict protein-ligand binding affinity, a critical step in drug design. Yet, many models still struggle to generalize to unseen data, ...

Lead optimization in drug discovery is a challenging process that heavily relies on hypotheses and the experience of medicinal chemists. This often leads to uncertain outcomes and inefficiency.

The majority of approved CAR T cell products are based on the FMC63-scFv directed against CD19. Surprisingly, although antigen binding affinity is a major determinant for CAR function, the affinity of ...

The ability to alter proteins to refine control over binding affinity and specificity can create tailored therapeutics with reduced side effects, highly sensitive diagnostic tools, efficient ...

Optibrium, a leading developer of software and AI solutions for molecular design, today announced a new QuanSA ™ plugin for PyMOL, providing an intuitive Graphical User Interface (GUI) for its ...

Epitope tagging is a technique that employs genetic engineering to fuse a known epitope, called an affinity tag, to either the C or N terminus of a recombinant protein to facilitate affinity ...

Various approaches to such protein redesign have drawbacks. Traditional methods include time-consuming trial and error efforts, and many models in the emerging field ...