Recent breakthroughs in AI coupled with the rapid accumulation of protein sequence and
structure data have radically transformed computational protein design. New methods …

Antibody engineering has developed into a wide-reaching field, impacting a multitude of
industries, most notably healthcare and diagnostics. The seminal work on develo** the …

Despite the central role that antibodies play in modern medicine, there is currently no way to
rationally design novel antibodies to bind a specific epitope on a target. Instead, antibody …

Generative AI models, including large language models and multimodal models that include
text and other media, are on the cusp of transforming many aspects of modern life, including …

The field of theranostics is rapidly advancing, driven by the goals of enhancing patient care.
Recent breakthroughs in artificial intelligence (AI) and its innovative theranostic applications …

Antibodies are proteins produced by the immune system that can identify and neutralise a
wide variety of antigens with high specificity and affinity, and constitute the most successful …

Therapeutic antibody engineering seeks to identify antibody sequences with specific binding
to a target and optimized drug-like properties. When guided by deep learning, antibody …

Importance This review aims to assess the benefits and risks of implementing large
language model (LLM) solutions in an academic surgical setting. Observations The …

Released in November of 2022 as a public and free research preview, ChatGPT rapidly
brought OpenAI's work with autoregressive large language modeling based on Generative …

Increasing the binding affinity of an antibody to its target antigen is a crucial task in antibody
therapeutics development. This paper presents a pretrainable geometric graph neural …