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.
Graphical Abstract
Call for Papers in Thematic Issues
Advances of Heterocyclic Chemistry with Pesticide Activity
Global food safety and security will continue to be a global concern for the next 50 years and beyond. Plant diseases have had a significant impact on food safety and security throughout the entire food chain, from primary production to consumption. While conventional chemical pesticides have been traditionally used for ...read more
Calculation design of covalent/metal organic framework based catalysts
This research area combines theoretical computation and screening with machine learning for the design of covalent/metal organic framework-based catalysts, bridging the disciplines of organic chemistry, physical chemistry, computational chemistry, materials science, and machine learning. It covers several critical aspects: designing and synthesizing organic catalysts for improved performance, applying computational methods ...read more
Carbohydrates conversion in biofuels and bioproducts
Biomass pretreatment, hydrolysis, and saccharification of carbohydrates, and sugars bioconversion in biofuels and bioproducts within a biorefinery framework. Carbohydrates derived from woody biomass, agricultural wastes, algae, sewage sludge, or any other lignocellulosic feedstock are included in this issue. Simulation, techno-economic analysis, and life cycle analysis of a biorefinery process are ...read more
Catalytic C-H bond activation as a tool for functionalization of heterocycles
The major topic is the functionalization of heterocycles through catalyzed C-H bond activation. The strategies based on C-H activation not only provide straightforward formation of C-C or C-X bonds but, more importantly, allow for the avoidance of pre-functionalization of one or two of the cross-coupling partners. The beneficial impact of ...read more
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