Multiple sequence alignment (MSA) is a cornerstone of computational biology, facilitating the exploration of functional, structural and evolutionary relationships among biological sequences.

Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique to humans.

Poetically, Tolkien’s long struggle to realize his vision — the self-doubt that led to long pauses in composition, his ...

Poetically, Tolkien’s long struggle to realize his vision — the self-doubt that led to long pauses in composition, his frustrations with publishers and his general inability to be satisfied enough ...

From structure confirmation to methodology improvements, making complex natural products has driven innovation in organic ...

Jeffrey Epstein's notorious US Virgin Islands retreat was sold to investor Stephen Deckoff for $60 million in 2022, who vowed ...

Biologists mapping the human microbiome expected to find new bacteria and viruses, not entities that slip through every ...

The Political Nature of Perception Proposed by Spatial Installation Art in the AI Era — Adrian Villar Rojas, Focusing on the Exhibition "The Language of the Enemy" 1. Art Questioning the Conditions of ...

Overview AI image generation in 2026 prioritizes control, safety, and real-world usability over experimental creativity.The ...

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 ...

The use of bispecific antibodies (BsAb) before chimeric antigen receptor T-cell therapy (CAR-T) appeared to be a more optimal ...