Literature DB >> 25579570

Identification of high affinity bioactive Salbutamol conformer directed against mutated (Thr164Ile) beta 2 adrenergic receptor.

Srinivas Bandaru, Geet Tiwari, Jyothy Akka, Vijaya Kumar Marri, Mallika Alvala, Venkata Ravi Gutlapalli, Anuraj Nayarisseri, Hema Prasad Mundluru1.   

Abstract

Salbutamol forms an important and widely administered β2 agonist prescribed in the symptomatic treatment of bronchial asthma. Unfortunately, a subset of patients show refractoriness to it owing to ADRB2 gene variant (rs 1800888). The variant substitutes Thr to Ile at the position 164 in the β2 adrenergic receptor leading to sub-optimal binding of agonists. The present study aims to associate the Salbutamol response with the variant and select the bioactive conformer of Sabutamol with optimal binding affinity against mutated receptor by in silico approaches. To assess bronchodilator response spirometry was performed before and 15 min after Salbutamol (200 mcg) inhalation. Responders to Salbutamol were categorized if percentage reversibility was greater than or equal to 12%, while those showing FEV₁ reversibility less than 12% were classified as non-responders. Among the 344 subjects screened, 238 were responders and 106 were non-responders. The frequency of mutant allele "T" was significantly higher in case of non-responders (p < 0.05). In silico process involved generation of Salbutamol conformer ensembles supported by systematic search algorithm. 4369 conformers were generated of which only 1882 were considered bioactive conformers (threshold RMSD≤1 in reference to normalized structure of salbutamol). All the bioactive conformers were evaluated for the binding affinity against (Thr164 Ile) receptor through MolDock aided docking algorithm. One of the bioactive conformer (P.E. = -57.0038, RMSD = 0.6) demonstrated 1.54 folds greater affinity than the normal Salbutamol in the mutated receptor. The conformer identified in the present study may be put to pharmacodynamic and pharmacokinetic studies in future ahead.

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Year:  2015        PMID: 25579570     DOI: 10.2174/1568026615666150112113040

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  12 in total

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2.  Structural basis for the in vitro known acyl-depsipeptide 2 (ADEP2) inhibition to Clp 2 protease from Mycobacterium tuberculosis.

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3.  Design of novel JAK3 Inhibitors towards Rheumatoid Arthritis using molecular docking analysis.

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Journal:  Bioinformation       Date:  2019-02-28

4.  Design of PD-L1 inhibitors for lung cancer.

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5.  FLT3 inhibitor design using molecular docking based virtual screening for acute myeloid leukemia.

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Journal:  Bioinformation       Date:  2019-02-28

6.  Virtual Screening of IL-6 Inhibitors for Idiopathic Arthritis.

Authors:  Palak Shukla; Ravina Khandelwal; Diksha Sharma; Anindya Dhar; Anuraj Nayarisseri; Sanjeev Kumar Singh
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7.  Identification of High-Affinity Small Molecule Targeting IDH2 for the Clinical Treatment of Acute Myeloid Leukemia.

Authors:  Jajoriya Sweta; Ravina Khandelwal; Sivaraj Srinitha; Rashi Pancholi; Ritu Adhikary; Meer Asif Ali; Anuraj Nayarisseri; Sugunakar Vuree; Sanjeev Kumar Singh
Journal:  Asian Pac J Cancer Prev       Date:  2019-08-01

8.  Molecular Docking studies of FKBP12-mTOR inhibitors using binding predictions.

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Journal:  Bioinformation       Date:  2015-06-30

9.  Molecular docking based screening of GABA (A) receptor inhibitors from plant derivatives.

Authors:  Mohammed Marunnan Sahila; Pallikkara Pulikkal Babitha; Srinivas Bandaru; Anuraj Nayarisseri; Victor Arokia Doss
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10.  Computer aided identification of sodium channel blockers in the clinical treatment of epilepsy using molecular docking tools.

Authors:  Uzma Shaheen; Jyothy Akka; Jitendra Singh Hinore; Amandeep Girdhar; Srinivas Bandaru; Tharaparambil Gangadharan Sumithnath; Anuraj Nayarisseri; Anjana Munshi
Journal:  Bioinformation       Date:  2015-03-31
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