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Generate a rich feature space describing all possible mutations in a given protein sequence (+ structure)

License: MIT License

Shell 15.64% Dockerfile 2.14% Python 53.33% R 28.89%
bioinformatics deep-learning drug-resistance mutation mutation-analysis protein protein-feature-extraction sequence-alignment structural-biology

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mutationfeatures's Issues

natlang + s4pred -> 1 tool

s4pred is essentially doing embedding -> 2dprediction
prot5 (the current natlang embedding) is also capable of doing that , but we only take the embedding.

Clean up the container by having only a single approach for these two things.

+Feature

Generate a HMM profile for the psi_blast alignment, and use the to_aa emmission probability as a feature.
Should be fairly similar to the pfam emmission probability used in other tools, but garuanteed value per residue

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