Search Results for author: Ekaterina Sedykh

Found 1 papers, 1 papers with code

Simple End-to-end Deep Learning Model for CDR-H3 Loop Structure Prediction

1 code implementation20 Nov 2021 Natalia Zenkova, Ekaterina Sedykh, Tatiana Shugaeva, Vladislav Strashko, Timofei Ermak, Aleksei Shpilman

In this work, we present an end-to-end model to predict CDR H3 loop structure, that performs on par with state-of-the-art methods in terms of accuracy but an order of magnitude faster.

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