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- AlphaFold Protein Structure Database
AlphaFold Protein Structure DatabaseGoogle DeepMind and EMBL’s European Bioinformatics Institute (EMBL-EBI) have partnered to create AlphaFold DB to make these predictions freely available to the scientific community The latest database release contains over 200 million entries, providing broad coverage of UniProt (the standard repository of protein sequences and annotations) We provide
- AlphaFold Protein Structure Database
Predicting the 3D structure of proteins is one of the fundamental grand challenges in biology By solving this challenge, we can dramatically deepen our understanding of human health, disease, and our environment, especially within areas like drug design and sustainability AlphaFold, the state-of-the-art AI system developed by Google DeepMind, is able to computationally predict protein
- AlphaFold Protein Structure Database
AlphaFold Protein Structure DatabaseWelcome to the interactive documentation page for the AlphaFold Protein Structure Database Application Programming Interface (API) The API provides a convenient and efficient way for developers to programmatically access metadata related to all the archived AlphaFold predictions With this API, you can easily retrieve information about protein structures
- AlphaFold Protein Structure Database
AlphaFold Protein Structure DatabaseIf you want to share feedback on an AlphaFold structure prediction, please consider using the feedback buttons at the top of each structure page If you have any questions that are not covered in the FAQs, please contact alphafold@deepmind com If you have feedback on the website or experience any bugs, please contact alphafolddb@ebi ac uk
- AlphaFold Protein Structure Database
What is AlphaMissense? AlphaMissense is an AI model that builds on Google DeepMind’s AlphaFold2 to categorise ‘missense’ mutations in different proteins as either ‘likely pathogenic’, ‘likely benign’ or ‘uncertain’, producing a score that estimates the likelihood of a variant being pathogenic AlphaMissense leverages AlphaFold2’s capability to model protein structure, and
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