Efficacy and Toxicity Assessment of Different Antibody Based Antiangiogenic Drugs by Computational Docking Method. (7th March 2016)
- Record Type:
- Journal Article
- Title:
- Efficacy and Toxicity Assessment of Different Antibody Based Antiangiogenic Drugs by Computational Docking Method. (7th March 2016)
- Main Title:
- Efficacy and Toxicity Assessment of Different Antibody Based Antiangiogenic Drugs by Computational Docking Method
- Authors:
- Mukherjee, Sayan
Chatterjee, Gopa
Ghosh, Moumita
Das, Bishwajit
Majumder, Durjoy - Other Names:
- Hong Huixiao Academic Editor.
- Abstract:
- Abstract : Bevacizumab and trastuzumab are two antibody based antiangiogenic drugs that are in clinical practice for the treatment of different cancers. Presently applications of these drugs are based on the empirical choice of clinical experts that follow towards population based clinical trials and, hence, their molecular efficacies in terms of quantitative estimates are not being explored. Moreover, different clinical trials with these drugs showed different toxicity symptoms in patients. Here, using molecular docking study, we made an attempt to reveal the molecular rationale regarding their efficacy and off-target toxicity. Though our study reinforces their antiangiogenic potentiality and, among the two, trastuzumab has much higher efficacy; however, this study also reveals that compared to bevacizumab, trastuzumab has higher toxicity effect, specially on the cardiovascular system. This study also reveals the molecular rationale of ocular dysfunction by antiangiogenic drugs. The molecular rationale of toxicity as revealed in this study may help in the judicious choice as well as therapeutic scheduling of these drugs in different cancers.
- Is Part Of:
- Advances in bioinformatics. Volume 2016(2016)
- Journal:
- Advances in bioinformatics
- Issue:
- Volume 2016(2016)
- Issue Display:
- Volume 2016, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 2016
- Issue:
- 2016
- Issue Sort Value:
- 2016-2016-2016-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-03-07
- Subjects:
- Bioinformatics -- Periodicals
Bioinformatics
Computational Biology -- Periodicals
Periodicals
570.285 - Journal URLs:
- http://bibpurl.oclc.org/web/52720 ↗
https://www.hindawi.com/journals/abi/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/984/ ↗ - DOI:
- 10.1155/2016/7053712 ↗
- Languages:
- English
- ISSNs:
- 1687-8027
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 12905.xml