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Updated: Jul 9, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Learning sequence, structure, and function representations of proteins with language models.

Tymor Hamamsy¹, Meet Barot², James T Morton³

¹Center for Data Science, New York University, New York, NY, USA.

Biorxiv : the Preprint Server for Biology

|December 4, 2023

Summary

This summary is machine-generated.

Protein language models can now predict protein function, structure, and sequence relationships. This computational approach aids in annotating and understanding the vast diversity of proteins across all life.

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Published on: July 14, 2015

Area of Science:

Computational Biology
Bioinformatics
Molecular Biology

Background:

Protein sequence-structure-function relationships are complex and crucial for cellular processes.
Existing protein databases like UniProt have limited experimentally verified functions (<1%).
Computational methods are essential for comprehensive protein annotation and function prediction.

Conclusions:

Protein language models offer a powerful foundation for understanding protein sequence-structure-function.
Protein-Vec provides a scalable solution for computational protein annotation and function prediction.
This approach addresses the limitations of experimental data in protein databases.