Proteins are the molecular workhorses of the human body. They perform a vast range of essential functions, from building ...
Molecular docking, the task of predicting the binding structures between a protein and a small molecule ligand, plays a significant role in structural-based drug discovery. In recent years, numerous ...
Accurate protein-protein interactions modeling through physics-informed geometric invariant learning
AlphaFold has set a new standard for predicting protein structures from primary sequences; however, it faces challenges with protein complexes across species, engineered proteins, and antigen-antibody ...
D&D‑seq uses base editing to record DNA–protein interactions in single cells, enabling multiomics mapping of transcription ...
Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of predicting ...
A new technology allows scientists to map, in single cells, the DNA binding sites of transcription factors and other regulatory proteins that control gene activity, according to a study led by ...
Inside every human cell, proteins are constantly being tagged with small chemical modifications after they're produced. Known as post-translational modifications, or PTMs, these can change how a ...
Researchers capture first-of-its-kind video of dynein–Lis1 protein interaction, supporting future drug development for neurological disorders. Our cells rely on microscopic highways and specialized ...
Scientists have used deep learning to design new proteins that bind to complexes involving other small molecules like hormones or drugs, opening up a world of possibilities in the computational design ...
How do bacteria regulate the production of their proteins? Researchers at the University of Hamburg, in collaboration with ...
A new technology allows scientists to map, in single cells, the DNA binding sites of transcription factors and other regulatory proteins that control gene activity, according to a study led by ...
Ovarian cancer (OC) is a "silent killer" with an annual incidence of 11.2 per 100,000 and mortality of 7.6 per 100,000. Most cases are diagnosed at advanced stages due to the lack of effective ...
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