Abstract
The inflammatory process is both natural and endogenous, occurring as a response of the organism to infectious or irritant agents. Although it is an organic response to an aggressor, and should be considered beneficial, it is not. Inflammation causes pain, edema, increased temperature, and often results in decreased mobility and quality of life for the patient. Chronic disturbances such as bowel, autoimmune diseases and asthma are all examples where an inflammatory response develops. Methods involving theoretical chemistry are widely diffused both in academia and industry because of their ability to considerably reduce both time and costs in new drug discovery endeavors. They can provide useful information concerning the steric and lipophilic nature of probable drug to biological target interactions as well as establishing quantitative relationships between chemical structures and biological activity for a series of investigated compounds. Such methods assist our understanding of mechanisms of action responsible for the known biological effect, describing and explaining experimental results; where one can essentially test for outcomes before realizing bench experiments. Based on the above, this review reported in silico studies between 2007-2017 and aims to investigate how methods involving theoretical chemistry contribute to the development of new drugs which present more efficient antiinflammatory activities with fewer side effects.
Keywords: In silico, inflammation, bowel diseases, autoimmune diseases, asthma, pain.
Current Organic Chemistry
Title:Computational Studies Applied to Anti-inflammatory Drug Discovery: A Review
Volume: 22 Issue: 17
Author(s): Luciana Scotti*, Hamilton M. Ishiki, Frederico F. Ribeiro, Rodrigo Santos, Rejane Barbosa de Oliveira, Tiago Branquinho Oliveira, Mateus Feitosa Alves, Jose Maria Barbosa Filho and Marcus Tullius Scotti
Affiliation:
- Postgraduate Program in Natural and Synthetic Bioactive Products, Federal University of Paraiba, Joao Pessoa - PB,Brazil
Keywords: In silico, inflammation, bowel diseases, autoimmune diseases, asthma, pain.
Abstract: The inflammatory process is both natural and endogenous, occurring as a response of the organism to infectious or irritant agents. Although it is an organic response to an aggressor, and should be considered beneficial, it is not. Inflammation causes pain, edema, increased temperature, and often results in decreased mobility and quality of life for the patient. Chronic disturbances such as bowel, autoimmune diseases and asthma are all examples where an inflammatory response develops. Methods involving theoretical chemistry are widely diffused both in academia and industry because of their ability to considerably reduce both time and costs in new drug discovery endeavors. They can provide useful information concerning the steric and lipophilic nature of probable drug to biological target interactions as well as establishing quantitative relationships between chemical structures and biological activity for a series of investigated compounds. Such methods assist our understanding of mechanisms of action responsible for the known biological effect, describing and explaining experimental results; where one can essentially test for outcomes before realizing bench experiments. Based on the above, this review reported in silico studies between 2007-2017 and aims to investigate how methods involving theoretical chemistry contribute to the development of new drugs which present more efficient antiinflammatory activities with fewer side effects.
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Cite this article as:
Scotti Luciana *, Ishiki M. Hamilton , Ribeiro F. Frederico , Santos Rodrigo , de Oliveira Barbosa Rejane , Oliveira Branquinho Tiago , Alves Feitosa Mateus , Filho Maria Barbosa Jose and Scotti Tullius Marcus , Computational Studies Applied to Anti-inflammatory Drug Discovery: A Review, Current Organic Chemistry 2018; 22 (17) . https://dx.doi.org/10.2174/1385272822666180906122934
DOI https://dx.doi.org/10.2174/1385272822666180906122934 |
Print ISSN 1385-2728 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5348 |
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