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Published July 27, 2022 | Version zenodo_release_fc-att-fix
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vlad-danaila/deep_hiv_ab_pred: zendo_release_fc-att-fix

Authors/Creators

  • 1. Department of Automatic Control and Systems Engineering, Politehnica University of Bucharest, 060042, Romania

Description

The repository contains the software implementation associated with the article "Prediction of HIV Sensitivity to Monoclonal Antibodies Using Aminoacid Sequences and Deep Learning" by Vlad-Rareș Dănăilă and Cătălin Buiu, Bioinformatics, 2022. The models are based on neural networks and predict the sensitivity of an HIV strain against a monoclonal antibody. The input is formed from the aminoacid sequences of the virus and antibody.

Files

vlad-danaila/deep_hiv_ab_pred-zenodo_release_fc-att-fix.zip

Files (7.4 MB)

Additional details

Related works

Is supplement to
https://github.com/vlad-danaila/deep_hiv_ab_pred/tree/zenodo_release_fc-att-fix (URL)