Abstract
Recent years have seen a dramatic increase in the amount and availability of data in the diverse areas of medicinal chemistry, making it possible to achieve significant advances in fields such as the design, synthesis and biological evaluation of compounds. However, with this data explosion, the storage, management and analysis of available data to extract relevant information has become even a more complex task that offers challenging research issues to Artificial Intelligence (AI) scientists. Ontologies have emerged in AI as a key tool to formally represent and semantically organize aspects of the real world. Beyond glossaries or thesauri, ontologies facilitate communication between experts and allow the application of computational techniques to extract useful information from available data. In medicinal chemistry, multiple ontologies have been developed during the last years which contain knowledge about chemical compounds and processes of synthesis of pharmaceutical products. This article reviews the principal standards and ontologies in medicinal chemistry, analyzes their main applications and suggests future directions.
Keywords: Drug design, Drug discovery, Medicinal chemistry, Ontologies, Semantic Web.
Current Topics in Medicinal Chemistry
Title:Ontologies in Medicinal Chemistry: Current Status and Future Challenges
Volume: 13 Issue: 5
Author(s): Asuncion Gomez-Perez, Marcos Martinez-Romero, Alejandro Rodriguez-Gonzalez, Guillermo Vazquez and Jose M. Vazquez-Naya
Affiliation:
Keywords: Drug design, Drug discovery, Medicinal chemistry, Ontologies, Semantic Web.
Abstract: Recent years have seen a dramatic increase in the amount and availability of data in the diverse areas of medicinal chemistry, making it possible to achieve significant advances in fields such as the design, synthesis and biological evaluation of compounds. However, with this data explosion, the storage, management and analysis of available data to extract relevant information has become even a more complex task that offers challenging research issues to Artificial Intelligence (AI) scientists. Ontologies have emerged in AI as a key tool to formally represent and semantically organize aspects of the real world. Beyond glossaries or thesauri, ontologies facilitate communication between experts and allow the application of computational techniques to extract useful information from available data. In medicinal chemistry, multiple ontologies have been developed during the last years which contain knowledge about chemical compounds and processes of synthesis of pharmaceutical products. This article reviews the principal standards and ontologies in medicinal chemistry, analyzes their main applications and suggests future directions.
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Cite this article as:
Gomez-Perez Asuncion, Martinez-Romero Marcos, Rodriguez-Gonzalez Alejandro, Vazquez Guillermo and Vazquez-Naya Jose M., Ontologies in Medicinal Chemistry: Current Status and Future Challenges, Current Topics in Medicinal Chemistry 2013; 13 (5) . https://dx.doi.org/10.2174/1568026611313050003
DOI https://dx.doi.org/10.2174/1568026611313050003 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
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