Bioinformatics in Drug Design and Delivery
Computer Aided Pharmaceutics and Drug Delivery: an Application Guide for Students and Researchers of Pharmaceutical Sciences, Page: 641-664
2022
- 5Citations
- 11Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
Bioinformatics is the one-stop solution to the problems in drug designing like large capital investments, human resources, technological expertise, regulations, and deadlines. Even after spending a large amount of money and effort, sometimes a drug fails to make up to the market. Genome sequence achieved by bioinformatics is very important because it helps scientists to find out the genes more easily and quickly. Structural biology determines the 3-D structure of biomolecules associated with cancer progression and development. Bioinformatics has extensive use of the genomic technique in diagnosis and management for pathogenic diseases like fungal, bacterial, and viral infections. Pathogen identification, strain typing, resistome analysis, and identification of virulence factors are some of the genomic approaches. Bioinformatics is used to overcome drug resistance by locating the antibiotic resistance genes present on a plasmid from the entire genome sequences of pathogens. It has therefore the revolutionary solution for the worldwide problem of antibiotic resistance. Its capacity to model the living cell and protein docking has enabled effective drug strategies to find the solution. Using computational biology and homology modeling biological annotations can be analyzed. This chapter follows the different methods regarding the role of bioinformatics in the current drug design and delivery system.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85163211450&origin=inward; http://dx.doi.org/10.1007/978-981-16-5180-9_21; https://link.springer.com/10.1007/978-981-16-5180-9_21; https://dx.doi.org/10.1007/978-981-16-5180-9_21; https://link.springer.com/chapter/10.1007/978-981-16-5180-9_21
Springer Science and Business Media LLC
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