# Chemical Information Sources
**Wikidata**: [Q105758702](https://www.wikidata.org/wiki/Q105758702)  
**Source**: https://4ort.xyz/entity/chemical-information-sources

## Summary
Chemical Information Sources, particularly cheminformatics, refer to the interdisciplinary application of computer science and informatics to manage and analyze chemical data, focusing on molecular structures and properties. This field enables the storage, retrieval, and predictive analysis of chemical information, serving as a critical bridge between chemistry and information technology. It supports advancements in pharmaceuticals, toxicology, and materials science through tools like virtual screening and QSAR modeling.

## Key Facts
- **Interdisciplinary Classification**: Cheminformatics is a branch of chemistry, computer science, and informatics, distinct from computational chemistry.
- **Foundational Date**: Informatics, a core component, originated in 1957.
- **Key Applications**: Virtual screening, QSAR prediction, and molecular structure analysis.
- **Recognition**: Indexed by MeSH (D000080911), Library of Congress (sh2003001403), and UMLS (C1328808).
- **Software and Platforms**: Utilizes specialized software classes and is supported by communities on GitHub, Stack Overflow, and Quora.
- **Notable Researchers**: Val Gillet, Egon Willighagen, Nathan Brown, Achim Zielesny, Charles Tapley Hoyt, and Ctibor Škuta.
- **Global Standards**: Integrated into the WikiProject Zika Corpus focus list and recognized by international authorities.

## FAQs
### Q: How does cheminformatics differ from computational chemistry?
A: Cheminformatics focuses on data storage, retrieval, and analysis (informatics), while computational chemistry emphasizes molecular modeling and simulation. They are distinct but complementary fields.

### Q: What are the primary uses of cheminformatics in research?
A: It is used for virtual screening of molecules, predicting biological activity (QSAR), and analyzing molecular structures to accelerate drug discovery and toxicology assessments.

### Q: Which organizations and platforms support cheminformatics?
A: Key supporters include academic institutions (e.g., University of Sheffield), platforms like GitHub and Stack Overflow, and indexing systems such as MeSH and the Library of Congress.

### Q: Who are the leading figures in cheminformatics?
A: Prominent researchers include Val Gillet (University of Sheffield), Egon Willighagen (Dutch chemist), and Nathan Brown, alongside contributors like Achim Zielesny and Charles Tapley Hoyt.

## Why It Matters
Cheminformatics revolutionizes chemical research by solving the challenge of managing vast molecular datasets. It provides essential tools for predicting molecular behavior, accelerating drug development, and assessing environmental risks. Without cheminformatics, fields like pharmacology and ecotoxicology would lack the computational frameworks needed for high-throughput screening and QSAR modeling. Its integration of computer science and chemistry underpins modern scientific discovery, enabling researchers to address complex global challenges in healthcare and sustainability.

## Notable For
- **Interdisciplinary Framework**: Uniquely combines chemistry, computer science, and informatics.
- **Predictive Innovation**: Pioneered quantitative modeling for molecular activity (QSAR) and virtual screening.
- **Global Standardization**: Recognized by MeSH, UMLS, and the Library of Congress for data consistency.
- **Open-Source Ecosystem**: Thrives through community-driven platforms like GitHub and specialized software tools.

## Body

### Classification and Scope
Cheminformatics is formally classified as an interdisciplinary science, merging principles from chemistry, computer science, and informatics. Unlike computational chemistry, which focuses on simulations and molecular dynamics, cheminformatics prioritizes data management, retrieval, and analysis. This distinction is recognized by authoritative bodies such as the Library of Congress (sh2003001403) and MeSH (D000080911), which categorize it under chemistry and informatics.

### Core Disciplines and Methodologies
The field encompasses specialized methodologies critical to modern chemical research:
- **Virtual Screening**: A high-throughput technique for identifying bioactive molecules from large libraries.
- **QSAR Modeling**: Quantitative analysis linking molecular structures to biological, pharmaceutical, or ecotoxicological activities.
- **Structure Prediction**: Computational methods to forecast molecular geometries and properties.
- **Software Development**: Custom tools designed for chemical data processing, such as those maintained by communities on GitHub.

### Key Researchers and Contributors
Cheminformatics advancements are driven by a global network of scientists:
- **Val Gillet** (University of Sheffield): A leading academic in cheminformatics.
- **Egon Willighagen** (born 1974): Dutch researcher bridging chemistry, biology, and statistics.
- **Achim Zielesny** (born 1964): Information scientist and chemist contributing to educational and technical frameworks.
- **Nathan Brown**: Expert in chemoinformatics and pharmaceutical research.
- **Charles Tapley Hoyt** (born 1993): American chemist and programmer developing open-source tools.
- **Ctibor Škuta**: Researcher integrating computer science and librarianship.

### Technical Identifiers and Global Standards
Cheminformatics is indexed across authoritative systems:
- **MeSH**: Descriptor ID D000080911, categorized under Chemistry (H01.181.169) and Informatics (L01.313.062).
- **Library of Congress**: Authority ID sh2003001403.
- **UMLS**: Concept Unique Identifier C1328808.
- **GND**: ID 4290091-8.
- **Additional Identifiers**: Yale LUX ID (concept/36d55ea0-94ee-4d73-a479-e4ee239f4fc0) and Freebase ID (/m/02rnwp).

### Integration with Academic and Developer Communities
The field is supported by institutional and platform-based ecosystems:
- **Academic Recognition**: Featured in the WikiProject Zika Corpus focus list.
- **Developer Communities**: Active projects on GitHub, technical discussions on Stack Overflow, and Q&A forums on Quora.
- **Standardization Efforts**: Alignment with global data protocols ensures interoperability across research domains.