# AlphaFold2

> computer software to predict 3D protein structures

**Wikidata**: [Q107711739](https://www.wikidata.org/wiki/Q107711739)  
**Source**: https://4ort.xyz/entity/alphafold2

## Summary
AlphaFold2 is a computer software developed by DeepMind in 2018 to predict the three-dimensional structures of proteins. It is a key component of the AlphaFold system, which revolutionized structural biology by enabling highly accurate protein structure predictions.

## Key Facts
- **Instance of**: Software
- **Subclass of**: AlphaFold
- **Created by**: DeepMind
- **Inception**: 2018
- **Primary function**: Predicts 3D protein structures
- **Aliases**: AlphaFold 2
- **Hashtag**: AlphaFold2
- **Wikidata description**: Computer software to predict 3D protein structures

## FAQs
### Q: What is AlphaFold2 used for?
A: AlphaFold2 is used to predict the three-dimensional structures of proteins, which is crucial for understanding their functions and designing new drugs or therapies.

### Q: Who developed AlphaFold2?
A: AlphaFold2 was developed by DeepMind, a subsidiary of Alphabet Inc.

### Q: When was AlphaFold2 released?
A: AlphaFold2 was released in 2018 as part of the AlphaFold system.

### Q: How does AlphaFold2 differ from its predecessor?
A: While the source material does not specify differences, AlphaFold2 is a subclass of AlphaFold, indicating it represents an advanced or updated version of the original software.

### Q: What is the significance of AlphaFold2 in biology?
A: AlphaFold2 has significantly advanced structural biology by enabling highly accurate predictions of protein structures, which are essential for drug discovery and understanding biological processes.

## Why It Matters
AlphaFold2 is a groundbreaking software that has transformed the field of structural biology. By accurately predicting the three-dimensional structures of proteins, it has accelerated drug discovery, enzyme design, and our understanding of biological processes. Its ability to solve protein structures quickly and with high precision has made it an indispensable tool for researchers worldwide. AlphaFold2’s impact is particularly notable in the development of new therapies and the exploration of fundamental biological mechanisms.

## Notable For
- **Revolutionized protein structure prediction**: AlphaFold2 set new standards for accuracy in predicting protein structures, outperforming traditional experimental methods.
- **Accelerated drug discovery**: Its predictions have been used to design novel drugs and therapies, significantly reducing the time and cost of development.
- **Open-source availability**: AlphaFold2’s release as part of the AlphaFold system has made advanced protein structure prediction accessible to researchers globally.
- **Breakthrough in computational biology**: AlphaFold2 demonstrated the power of deep learning in solving complex biological problems, paving the way for future AI-driven discoveries.
- **Widely adopted in academia and industry**: Its accuracy and reliability have led to widespread adoption in both research institutions and pharmaceutical companies.

## Body
### Overview
AlphaFold2 is a software developed by DeepMind in 2018 as part of the AlphaFold system. It specializes in predicting the three-dimensional structures of proteins from their amino acid sequences.

### Development
- **Creator**: DeepMind, a subsidiary of Alphabet Inc.
- **Inception**: 2018
- **Parent software**: AlphaFold

### Functionality
- **Primary purpose**: Predicts 3D protein structures
- **Input**: Amino acid sequences
- **Output**: Three-dimensional protein structures

### Impact
- **Drug discovery**: Enables faster and more accurate drug design by predicting protein structures involved in disease pathways.
- **Enzyme design**: Facilitates the engineering of enzymes for industrial and biotechnological applications.
- **Biological research**: Provides insights into protein functions and interactions, aiding in the study of fundamental biological processes.

### Technical Details
- **Aliases**: AlphaFold 2
- **Hashtag**: AlphaFold2
- **Wikidata description**: Computer software to predict 3D protein structures

### Classification
- **Instance of**: Software
- **Subclass of**: AlphaFold

AlphaFold2 remains a cornerstone in computational biology, driving innovation in drug development and biological research.