In its effort to correlate genomic structure with gene function, the 4D Nucleome Consortium (4DN), led by Job Dekker, Ph.D., ...
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
Scientists have uncovered a new explanation for how swimming bacteria change direction, providing fresh insight into one of ...
Two proteins found on the surface of motor neurons in the brain may be essential in the progression of Parkinson's disease, ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational model that could expedite the use of nanomaterials in biomedical applications.
AI systems have recently had a lot of success in one key aspect of biology: the relationship between a protein’s structure and its function. These efforts have included the ability to predict the ...
A new AI model is opening the black box of the leading artificial intelligence tool for predicting how proteins will interact with small molecules, such as drugs. The model, OpenFold3, which launched ...
Fully open source model accurately predicts the 3D structures of proteins and biomolecules in silico, and serves as a foundational model for next generation of cutting-edge Protein AI tools The ...
A higher number corresponds to a larger, more complex capsid. Zandi and her colleagues used a new simulation framework to capture key biological factors like protein diffusion, genome flexibility, and ...
List of papers about Protein Design using Deep Learning This repository is inspired by the remarkable work of Kevin Kaichuang Yang and their outstanding project Machine-learning-for-proteins. We have ...
For the field of drug development, hitting the right target with atomic precision to achieve therapeutic effect remains the core challenge. While traditional R&D pipelines are dependent on ...
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