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Demonstration of protein structure search using the TM-Vec pipeline. As the indexed database of vector representations has already been built, protein search consists of first encoding the query sequence using the trained TM-Vec model and then performing fast vector search and TM-score prediction using cosine similarity as the search metric. As search results, we return the k nearest neighbors with the highest predicted structural similarity (TM-score) to the query sequence.
#Workflow#Flowchart#Illustration#Protein Structure Search#TM-Vec Pipeline#Vector Search#TM-Score#Cosine Similarity
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