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About A Comprehensive Survey of Deep Learning Techniques in Protein Function Prediction
This document provides a comprehensive survey of deep learning techniques for protein function prediction. It discusses how early methods relied on homology-based transfer of functions between similar proteins, but this approach diminished with increasing distant and orphan proteins. Recent developments utilize machine learning, especially deep learning, on various protein data sources like sequences, structures, and interactions. The survey categorizes these techniques, assesses their benefits and limitations, and emphasizes the need for interpretable predictive models to gain biologist confidence.
Detailed Information
| Author: | ['Engr. Naveed Mazhar'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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