# TM-align

> an algorithm for sequence independent protein structure comparisons.

**Wikidata**: [Q114840775](https://www.wikidata.org/wiki/Q114840775)  
**Source**: https://4ort.xyz/entity/tm-align

## Summary
TM-align is an algorithm for comparing protein structures independently of their amino acid sequences. It is based on the TM-score metric and is used to evaluate structural similarity between proteins, making it a key tool in bioinformatics for analyzing protein folding and function.

## Key Facts
- **Instance of**: Software
- **Published in**: *TM-align: a protein structure alignment algorithm based on the TM-score*
- **Purpose**: Protein structure comparison without sequence dependency
- **Metric**: Uses TM-score to measure structural similarity
- **Field**: Bioinformatics and structural biology

## FAQs
### Q: What is the primary use of TM-align?
A: TM-align is used to compare protein structures based on their 3D folding patterns, regardless of their amino acid sequences. It is particularly useful in structural bioinformatics for analyzing protein similarity and evolution.

### Q: How does TM-align differ from sequence-based alignment tools?
A: Unlike sequence-based alignment tools, TM-align focuses on structural similarity, making it ideal for comparing proteins that may have diverged in sequence but retained similar folds.

### Q: What is the TM-score, and how does TM-align use it?
A: The TM-score is a metric that quantifies the similarity between two protein structures. TM-align calculates this score to provide a numerical measure of structural alignment, independent of sequence identity.

## Why It Matters
TM-align plays a crucial role in structural biology by enabling researchers to compare protein structures without relying on sequence information. This is particularly valuable when studying proteins that have evolved different sequences but maintain similar 3D structures. The algorithm’s ability to assess structural similarity helps in understanding protein function, evolution, and the mechanisms of diseases. By providing a standardized way to measure structural alignment, TM-align supports advancements in drug design, protein engineering, and the study of protein folding.

## Notable For
- **Sequence-independent comparison**: Unlike sequence-based methods, TM-align focuses solely on structural similarity.
- **TM-score metric**: Introduced a widely adopted metric for evaluating protein structure alignments.
- **Bioinformatics tool**: A foundational algorithm in structural bioinformatics for protein structure analysis.

## Body
### Overview
TM-align is a computational algorithm designed for comparing protein structures based on their 3D folding patterns, rather than their amino acid sequences. It was developed to address the need for a sequence-independent method to assess structural similarity, which is critical in fields such as structural biology and protein engineering.

### Development and Publication
The algorithm was published in *TM-align: a protein structure alignment algorithm based on the TM-score*, establishing it as a key tool in bioinformatics. The publication introduced the TM-score, a metric used to quantify structural similarity between proteins.

### Applications
TM-align is widely used in research to compare protein structures, particularly in cases where sequence similarity is low but structural similarity is high. It is also employed in drug design, where understanding structural similarities can inform the development of therapeutic interventions.

### Impact
By providing a sequence-independent method for protein structure comparison, TM-align has significantly advanced the field of structural biology. Its adoption has led to more accurate analyses of protein evolution, function, and interactions, contributing to broader scientific understanding in bioinformatics.