# Near Perfect Protein Multi-Label Classification with Deep Neural Networks

arXiv: https://arxiv.org/abs/1703.10663 · HTML: https://mlsanity.com/paper/1703.10663/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Mar 2017.

## Built on by (most cited first, 1 of 1)

- [Are Deep Sequence Classifiers Good at Non-Trivial Generalization?](https://mlsanity.com/paper/2210.13082/) (2022)

## Abstract (arXiv)

Artificial neural networks (ANNs) have gained a well-deserved popularity among machine learning tools upon their recent successful applications in image- and sound processing and classification problems. ANNs have also been applied for predicting the family or function of a protein, knowing its residue sequence. Here we present two new ANNs with multi-label classification ability, showing impressive accuracy when classifying protein sequences into 698 UniProt families (AUC=99.99%) and 983 Gene Ontology classes (AUC=99.45%).