Farhana Rahman

Dr. Farhana Rahman


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2021 in Indian Journal of Pharmacology
Verified
Journal Article
Closed access
FRFarhana Rahman
Farhana Rahman
NMNagasundaram Muthaiah
Nagasundaram Muthaiah
GKGovindasamy Kumaramanickavel
Govindasamy Kumaramanickavel
Blood pressure and hypertension have been reported by genome-wide association studies that provided potential targets for pharmacotherapy. Pharmacogenetic research had shown interindividual variations in drug efficacy, safety, and tolerability. This could be due to genetic polymorphisms in the pharmacokinetics (genes involved in a transporter, plasma protein binding, and metabolism) or pharmacodynamic pathway (receptors, ion channels, enzymes). Pharmacogenetics promises great hope toward targeted therapy, but challenges remain in implementing pharmacogenetic aided antihypertensive therapy in clinical practice. Using various databases, we analyzed the underlying mechanisms between the candidate gene polymorphisms and antihypertensive drug interactions and the challenges of implementing precision medicine. We review the emergence of pharmacogenetics and its relevance to clinical pharmacological practice....

2 November 2022 in Journal of Community Genetics
Verified
Journal Article
Closed access
PDF file
EHEsther K. Y. Hui
Esther K. Y. Hui
Jason C. YamJason C. Yam
Jason C. Yam
FRFarhana Rahman
Farhana Rahman
Chi Pui PangChi Pui Pang
Chi Pui Pang
GKGOVINDASAMY KUMARAMANICKAVEL
GOVINDASAMY KUMARAMANICKAVEL

25 March 2020 in Biomedical and Pharmacology Journal
Verified
Journal Article
Open access
FRFarhana Rahman
Farhana Rahman
NMNagasundaram Muthaiah
Nagasundaram Muthaiah
KBKrishna Prasanth B
Krishna Prasanth B
GKGovindasamy Kumaramanickavel
Govindasamy Kumaramanickavel
Biomedical and Pharmacology Journal (BPJ) is an international, open access, peer reviewed, quarterly research journal.

26 December 2020
Verified
Conference Paper
Closed access
MUMohammad Aman Ullah
Mohammad Aman Ullah
MHMohammed Arif Hasnayeen
Mohammed Arif Hasnayeen
ASAhmed Shan-A-Alahi
Ahmed Shan-A-Alahi
FRFarhana Rahman
Farhana Rahman
SASharmin Akhter
Sharmin Akhter
This research used the data from Twitter on presidential elections in USA 2016 to understand which features better suits in predicting Election results. We compare between four features such uni-grams, bi-grams, tri-grams, and opinion words by using the data mining techniques such as Random Forest, Naïve Bayes, and Artificial Neural Network. For the analysis, we have used a Data set from Kaggle consisting of 6445 individual records. Then applied many preprocessing techniques (such as cleaning, data stemming, data normalization etc.) on the said data set to expose the well-shaped data set. For extracting proper features, we have done factor analysis. Finally, we have tested our method using the dataset and found the uni-gram showing the better accuracy of 81%. This research was implemented in R.

5 January 2021 in Journal of Dhaka Medical College
Verified
Journal Article
Open access
PDF file
FRFarhana Rahman
Farhana Rahman
QAQazi Shamima Akhter
Qazi Shamima Akhter
NYNahid Yeasmin
Nahid Yeasmin
FSFarhana Sultana
Farhana Sultana
STSabira Tabassum
Sabira Tabassum
FKFardous Khan
Fardous Khan
Background: Hair loss is a worldwide problem with significant prevalence in the developed countries. Although many pathophysiological factors have been involved in the development of hair loss, its etiology is still unclear. Trace elements. Objective: To assess duration of hair loss with serum iron level in alopecia. Methods: This cross sectional study was carried out in the Department of Physiology, Dhaka Medical College, Dhaka during January 2017 to December 2017. Serum iron level was estimated by flame atomic absorption spectrophotometry of thirty five newly diagnosed hair loss patients aged 18 to 45 years were study group and thirty five ages, sex and BMI matched healthy subjects were control group. Both male and female was assessed by analyzing time. In this study, the duration of hair loss was 1 to 18 months. Duration of hair loss in study group was divided in two groups such as ≤2 months and >2 months. Patients were selected from Department of Dermatology and Venerology, Dhaka Medical College Hospital, Dhaka. For statistical analysis Unpaired Student’s‘t’ test, Chi square tests and Pearson’s correlation coefficient (r) tests were performed. Results: In this study, serum iron level showed negative correlation with the duration of disease in study group. Conclusions: From this study, it is concluded that serum iron deficiency is associated with duration of hair loss patients. J Dhaka Medical College, Vol. 29, No.1, April, 2020, Page 29-32

20 March 2026 in Biomedical and Pharmacology Journal
Verified
Journal Article
Open access
SRSangeetha Raja
Sangeetha Raja
SMSatyajit Mohapatra
Satyajit Mohapatra
KAKalaivani Amitkumar
Kalaivani Amitkumar
KNKasthuri Natarajan
Kasthuri Natarajan
JRJamuna Rani
Jamuna Rani
FRFarhana Rahman
Farhana Rahman
Abnormal lipids level leads to hyperlipidemia. Safe and effective therapy is essential for management of hyperlipidemia. Vetiveria zizanioides (VZ), commonly known as vetiver or khus, in traditional medicine shows promising treatment in hyperlipidemia without compromising reproductive health. Aim of this study is to assess antihyperlipidemic effect of aqueous and ethanolic extract from Vetiveria zizanioides in high-fat diet-induced Wistar Albino rats. The aqueous and ethanolic extract of Vetiveria zizanioides was administered orally for 8 weeks at dosage of 300/600mg/kg of wistar albino rats. Body weight, histology and biochemical assessments of the rats were analysed. In-silico evaluation of the Vetiveria zizanioides was done prior to the animal study for the better understanding of the herb. Body weight was decreased 50% in aqueous extract VZ-treated group compared to control group. Biochemical assessments indicate significant decrease in total and LDL cholesterol, triglycerides levels and improvement in HDL levels in high fat diet (HFD) and combination with simvastatin (HFD+SIM) groups (P<0.000). Histology revealed reduction in necrosis and edema while retaining normal spermatogenesis in VZ-treated HFD rats. In in-silico analysis, thirty-six targets were identified between the hypolipidemia and rat testis. Molecular dynamics simulations confirmed the dynamic stability interaction of globulol with highest binding affinity for target proteins 7-dehydrocholesterol reductase (DHCR7) and squalene synthase (FDFT1), with binding energies of -6.8 and -8.6 kcal/mol, respectively and thus ability to modify the protein targets. In conclusion, the in-silico and in-vivo analysis confirmed the antihyperlipidemic activity of Vetiveria zizanioides.