PMID- 32415493
OWN - NLM
STAT- MEDLINE
DCOM- 20211122
LR  - 20211122
IS  - 1573-501X (Electronic)
IS  - 1381-1991 (Linking)
VI  - 25
IP  - 2
DP  - 2021 May
TI  - Data science-driven analyses of drugs inducing hypertension as an adverse effect.
PG  - 801-810
LID - 10.1007/s11030-020-10059-5 [doi]
AB  - The utilization of approved medication is a requisite to combat certain diseases 
      for health; however, the undesirable adverse effects (AEs) due to medication are 
      generally unavoidable. Hypertension is one of such AEs resulting from approved 
      medication in which blood pressure in the arteries gets elevated and is a risk 
      factor for several diseases including heart and kidney failure. HTs are the 
      approved drugs that can cause hypertension as an AE. Here, the goal of the study 
      is to investigate the structural and functional diversities of HTs. In our quest 
      to unravel the structural parameters of the HTs, a systematic analysis of the HTs 
      having a different number and type of ring systems was conducted. The cellular 
      component, molecular function and biological processes adopted by the gene 
      products were analyzed. Moreover, our systematically done analysis suggests that 
      all the target families are active in a common pathway, that is, nerve 
      transmission. A comparison of the selected structural and functional aspect of 
      HTs with anti-hypertensives suggests that HTs follow certain structural and 
      functional features in spite of many possibilities. Our study provides a 
      promising methodology that considers the influence of structural diversity of AE 
      causing agents on a functional perspective for precursory clinical decision 
      making. This could be extended to explore the structural and functional trends 
      that are adopted by agents causing certain diseases or AEs.
FAU - Sharma, Reetu
AU  - Sharma R
AUID- ORCID: 0000-0002-3300-9832
AD  - CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad, 500007, India. 
      sharmar@tech-center.com.
LA  - eng
GR  - BT/PR18249/BIC/101/390/2016/Department of Biotechnology, Government of West 
      Bengal/
PT  - Journal Article
DEP - 20200515
PL  - Netherlands
TA  - Mol Divers
JT  - Molecular diversity
JID - 9516534
RN  - 0 (Pharmaceutical Preparations)
SB  - IM
MH  - Data Science
MH  - *Drug-Related Side Effects and Adverse Reactions
MH  - Gene Ontology
MH  - Hypertension/*chemically induced
MH  - Pharmaceutical Preparations/*chemistry/classification
OTO - NOTNLM
OT  - Adverse effect
OT  - Approved drugs
OT  - Data science
OT  - Hypertension
EDAT- 2020/05/18 06:00
MHDA- 2021/11/23 06:00
CRDT- 2020/05/17 06:00
PHST- 2019/11/14 00:00 [received]
PHST- 2020/02/21 00:00 [accepted]
PHST- 2020/05/18 06:00 [pubmed]
PHST- 2021/11/23 06:00 [medline]
PHST- 2020/05/17 06:00 [entrez]
AID - 10.1007/s11030-020-10059-5 [pii]
AID - 10.1007/s11030-020-10059-5 [doi]
PST - ppublish
SO  - Mol Divers. 2021 May;25(2):801-810. doi: 10.1007/s11030-020-10059-5. Epub 2020 
      May 15.