This repository contains advanced Python tutorials developed with care and dedication to foster learning and collaboration. The code and materials provided here are the result of significant effort, ...

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Predicting protein structures from the amino acid sequences helps scientists to understand how proteins interact with other molecules, which is crucial for developing new drugs and therapies.

Tutorial 66 in the 100 Cool Things with Cards series introduces a trick based on reversible card control. This method allows you to subtly manage the selection without breaking flow or revealing any ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that ...

Researchers present BioEmu – a new AI model that rapidly and accurately predicts the full range of shapes a protein can adopt, offering a faster, cheaper alternative to traditional molecular ...

NVIDIA's Multi-Process Service optimizes GPU usage in molecular dynamics simulations, boosting throughput by running concurrent processes on a single GPU. Molecular dynamics (MD) simulations, ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In the study of protein dynamics and interactions, ...

Intrinsically Disordered Proteins (IDPs) challenge traditional structure-function paradigms by existing as dynamic ensembles rather than stable tertiary structures. Capturing these ensembles is ...