Literature DB >> 27174812

Identification of Small Molecule as a High Affinity β2 Agonist Promiscuously Targeting Wild and Mutated (Thr164Ile) β 2 Adrenergic Receptor in the Treatment of Bronchial Asthma.

Srinivas Bandaru, Mallika Alvala, Jyothy Akka, Someshwar Rao Sagurthi, Anuraj Nayarisseri, Sanjeev Kumar Singh1, Hema Prasad Mundluru.   

Abstract

BACKGROUND: A subset of asthmatics shows refractoriness to Salbutamol owing to ADRB2 gene C.T polymorphism (rs 1800888) that substitutes Thr to Ile at the position 164 in the β2 adrenergic receptor leading to sub-optimal binding of Salbutamol. The present study aims to associate the Salbutamol (200 mcg) refractoriness with the polymorphism and select the best existing agonist with optimal binding affinity against wild and mutated receptor and further identify high affinity compound, irrespectively targeting wild and mutated receptor through virtual screening methods.
METHODS: Responders to Salbutamol were categorized, if percentage reversibility was greater than or equal to 12% in them, while those showing reversibility less than 12% were non-responders. The genotyping for polymorphism was performed by ARMS PCR method. Established agonists with consistent binding affinity against wild and mutated receptors formed query compound to identify high affinity molecule from Phase database through 7 point pharmacophore based screening.
RESULTS: Polymorphism was significantly associated with non-responders (p= < 0.05) demonstrating it as a major factor of Salbutamol refractoriness. Results from Glide Docking showed that Fenoterol had highest affinity for mutated receptor and stood as second best (after Salbutamol) high affinity agonist for wild receptor among the established β2 agonists. Therefore Fenoterol formed a query molecule (7 point pharmacophore) in identification of high affinity compound for virtual screening process.
CONCLUSION: Compound CACPD2011a-0001278239 identified through virtual screening against 4 million compounds in phase database was shown to irrespectively target both wild and mutated β2 adrenergic receptor with high and consistent affinity which was par greater than established β2agonists.

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Year:  2016        PMID: 27174812     DOI: 10.2174/1381612822666160513145721

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  7 in total

1.  Structure-Based Virtual Screening, Molecular Docking, and Molecular Dynamics Simulation of VEGF inhibitors for the clinical treatment of Ovarian Cancer.

Authors:  Sourav Mukherjee; Mohnad Abdalla; Manasi Yadav; Maddala Madhavi; Anushka Bhrdwaj; Ravina Khandelwal; Leena Prajapati; Aravind Panicker; Aashish Chaudhary; Ashraf Albrakati; Tajamul Hussain; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  J Mol Model       Date:  2022-03-24       Impact factor: 1.810

2.  Effects of salbutamol aerosol combined with magnesium sulfate on T-lymphocyte subgroup and Th1/Th2 cytokines of pediatric asthma.

Authors:  Min Diao; Jie Min; Fei Guo; Chong-Lin Zhang
Journal:  Exp Ther Med       Date:  2016-11-18       Impact factor: 2.447

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

Authors:  Divya Jain; Trishang Udhwani; Shreshtha Sharma; Aishwarya Gandhe; Palugulla Bhaskar Reddy; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  Bioinformation       Date:  2019-02-28

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

Authors:  Trishang Udhwani; Sourav Mukherjee; Khushboo Sharma; Jajoriya Sweta; Natasha Khandekar; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  Bioinformation       Date:  2019-02-28

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

Authors:  Padmini Gokhale; Aashish Pratap Singh Chauhan; Anushka Arora; Natasha Khandekar; Anuraj Nayarisseri; Sanjeev Kumar Singh
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
Journal:  Bioinformation       Date:  2019-02-28

7.  Molecular dynamic simulations reveal suboptimal binding of salbutamol in T164I variant of β2 adrenergic receptor.

Authors:  Srinivas Bandaru; Mallika Alvala; Anuraj Nayarisseri; Saphy Sharda; Himshikha Goud; Hema Prasad Mundluru; Sanjeev Kumar Singh
Journal:  PLoS One       Date:  2017-10-20       Impact factor: 3.240

  7 in total

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