Association of anti-histamine drugs with brain tumor
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743, Vol: 7663 LNCS, Issue: PART 1, Page: 8-15
2012
- 1Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
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.
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.
Metrics Details
- Captures1
- Readers1
Conference Paper Description
Experimental evidence shows that most tumors express the histamine synthesizing enzyme, L-histidine decarboxylase [1]. These tumor cells trigger sporadic reactions when they come in contact with histamine cells. In order to suppress these reactions, antihistamine drugs are used which competitively block the receptor mediated response of a tumor cell. We describe the effect of antihistamine drugs on the tumor cells, confirming whether these antihistamine drugs tend to increase or rather decrease the development of a brain tumor. Drug target sites will be analyzed for similar proteins surrounding the brain tumor .These target sites alignment with similar proteins will open up the conserved regions. Protein motifs in the conserved regions that are over expressed and involved in tumor growth will be identified. The proteins identified will be docked with antihistamine drugs. Results will be analyzed by the scoring function of the algorithms. Selection of drug molecules may help us to design an anti neo plastic agent that can be therapeutically targeted to treat brain tumor. © 2012 Springer-Verlag.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84869065004&origin=inward; http://dx.doi.org/10.1007/978-3-642-34475-6_2; http://link.springer.com/10.1007/978-3-642-34475-6_2; http://link.springer.com/content/pdf/10.1007/978-3-642-34475-6_2.pdf; http://www.springerlink.com/index/10.1007/978-3-642-34475-6_2; http://www.springerlink.com/index/pdf/10.1007/978-3-642-34475-6_2; https://dx.doi.org/10.1007/978-3-642-34475-6_2; https://link.springer.com/chapter/10.1007/978-3-642-34475-6_2
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know