# Predicting Protein Function in the AI and Big Data Era

## TL;DR

This paper discusses how AI and big data are transforming the ability to predict protein functions and enhance our understanding of molecular biology.

## Contribution

The paper highlights the novel use of deep-learning and AI-based methods to enrich protein databases with 3D information and functional insights.

## Key findings

- AI and deep-learning methods now provide 3D information for proteins.
- These methods can predict biochemical properties and biomolecular interactions.
- The progress increases the number of functionally characterized proteins in databases.

## Abstract

It is an exciting
time for researchers working to link
proteins
to their functions. Most techniques for extracting functional information
from genomic sequences were developed several years ago, with major
progress driven by the availability of big data. Now, groundbreaking
advances in deep-learning and AI-based methods have enriched protein
databases with three-dimensional information and offer the potential
to predict biochemical properties and biomolecular interactions, providing
key functional insights. This progress is expected to increase the
proportion of functionally bright proteins in databases and deepen
our understanding of life at the molecular level.