This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

A research team has developed DeepCodon, a deep learning–based codon optimization tool that significantly improves heterologous protein expression in Escherichia coli while preserving functionally ...

A research team maps the key tasks that define modern enzyme engineering—function annotation, structure modeling, and property prediction—and explain how AI methods now accelerate each step, from ...

Cell-surface proteins are critical therapeutic targets and are vital to cellular communication, signaling, and homeostasis.

AI can now create genome viruses in laboratories and redesign toxins to evade controls, raising biosafety alert and rise of ...

This is a summary of: Liu. H. et al. Viral RNA blocks circularization to evade host codon usage control. Nature https://doi.org/10.1038/s41586-025-09809-y (2025).

Detecting cancer in the earliest stages could dramatically reduce cancer deaths because cancers are usually easier to treat ...

Biology has always been an unruly science. Cells divide when they want to. Genes switch on and off like temperamental lights.

The technology is designed to rapidly map antibody responses and may become a key tool in preparing for future pandemics.

Company on track to report ELEVATE-44-201 data from the first cohort in Q2 2026 and ELEVATE-45-201 data from the first cohort in mid-2026 –-- ...