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Article by our previous NyBerMan Bioinformatics Internship Student on
Protein structure prediction using AlphaFold2 Pipeline (Jupyter-Notebook)

โœ๏ธPreview:
Deep learning tools have a considerable impact on protein structure prediction. Algorithms like AlphaFold2 can help understand and visualise protein structures not presented in Protein Data Bank. Also, this acceptable method allows generating tons of new data with relatively small costs. Cloud Computing services such as Microsoft Azure Machine Learning make experiment submission much easier and faster. In a couple of words, these services provide researchers with a powerful tool for implementing very complicated tasks like protein structure prediction. In summary, my experiment gave satisfactory results for a full-fledged pipeline of my internship. This work can be used in similar further research and development.

Author:
@gr0mdim0n

๐Ÿ“šRead the full length Article on our Bio-IT magazine: Loops & Strands
https://loopsnstrands.com/protein-structure-prediction-using-alphafold2-ea2b7949d96e

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