Abstract
BackgroundDrug repurposing aims to detect the new therapeutic benefits of the existing drugs and reduce the spent time and cost of the drug development projects. The synthetic repurposing of drugs may prove to be more useful than the single repurposing in terms of reducing toxicity and enhancing efficacy. However, the researchers have not given it serious consideration. To address the issue, a novel datamining method is introduced and applied to repositioning of drugs for hypertension (HT) which is a serious medical condition and needs some improved treatment plans to help treat it.ResultsA novel two-step data mining method, which is based on the If-Then association rules as well as a novel discrete optimization algorithm, was introduced and applied to the synthetic repurposing of drugs for HT. The required data were also extracted from DrugBank, KEGG, and DrugR+ databases. The findings indicated that based on the different statistical criteria, the proposed method outperformed the other state-of-the-art approaches. In contrast to the previously proposed methods which had failed to discover a list on some datasets, our method could find a combination list for all of them.ConclusionSince the proposed synthetic method uses medications in small dosages, it might revive some failed drug development projects and put forward a suitable plan for treating different diseases such as COVID-19 and HT. It is also worth noting that applying efficient computational methods helps to produce better results.
Highlights
Drug repurposing aims to detect the new therapeutic benefits of the existing drugs and reduce the spent time and cost of the drug development projects
The newly proposed method for the synthetic repurposing of drugs was implemented in the MATLAB programming language and compared with the four state-of-theart algorithms, including the discrete symbiotic optimization search (DSOS) [42], the forest optimization algorithm (FOA) [43], the world competitive contests algorithm (WCC) [44], and the cuckoo optimization (CUK) algorithm [45]
Some candidate medicines were selected from medications which have been suggested for use in controlling HT by the different proposed treatment methods
Summary
Drug repurposing aims to detect the new therapeutic benefits of the existing drugs and reduce the spent time and cost of the drug development projects. According to the world health organization, about 1.3 billion people around the world, which is a remarkable number, suffer from HT [5] Most of these patients who are from the low and middle-paid countries [6], need some proper therapeutic plans such as drug repurposing methods which could yield the desired effect [7]. Drug repurposing or drug repositioning process, which may be the best option to treat diseases, brings about some big advantages as follows: First, it may make the finding treatment plan against HT a cost-effective and time-saving process It might be useful in treating both the orphan and rare HT diseases such as COVID-19, considering the fact that drug companies cannot afford to develop new molecular entities or cannot develop a suitable medication in a reasonable time order. It might prove that the existing drugs have many hidden medical benefits in treating HT, in view of the fact that such advantages have not been detected before
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