Researchers have developed ProtET, a cutting-edge AI model that uses multi-modal learning to enable precise, text-guided protein editing, paving the way for breakthroughs in biotechnology and medicine ...

Ainnocence has achieved significant milestones in applying artificial intelligence to accelerate antibody discovery for ...

Researchers from Zhejiang University and HKUST (Guangzhou) have developed a cutting-edge AI model, ProtET, that leverages ...

In this interview, Technology Networks spoke with Dr. Sophie Mayle, Dr. Paul Royle and Dr. John Cardone from Bio-Rad's ...

Whatever the assailant, though, snake-bite treatment has been the same for a century: inject an antivenin containing ...

This webinar will explore how AI is revolutionizing antibody sequence prediction, optimizing candidate selection and simplifying the handling of complex datasets in ...

We evaluate the performance of the deep-learning tool ModelAngelo in determining de novo antibody sequences directly from reconstructed 3D volumes of antibody-antigen complexes. We demonstrate that ...

From accelerating drug development and clinical trials to supercharging collaboration, machine learning-enhanced healthcare ...

It uses the croEM analysis of polyclonal Fabs to antibody genes, with the ultimate aim of getting complete and accurate antibody sequences. The method, commonly termed EMPEM, is becoming increasingly ...

The current way to produce antivenoms is antiquated. Experiments in mice suggest that an artificial intelligence approach could save time and money.