By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...

Create a new conda environment from the provided enviroment.yml file. conda env create --name mint --file=environment.yml Activate the enviroment and install the package from source. conda activate ...

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

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

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 ...

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

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

Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...

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 ...

Recently, a range of effective methods have been developed for predicting protein-protein interactions (PPIs). Among them, the methods based on data derived from protein sequences and structures have ...

A ready-to-run multimodal dataset and processing code for protein function prediction in budding yeast (Saccharomyces cerevisiae). It ties together: Protein–protein interaction (PPI) network (STRING) ...