Literature DB >> 23869520

Validation of potential inhibitors for SrtA against Bacillus anthracis by combined approach of ligand-based and molecular dynamics simulation.

Chandrabose Selvaraj1, Sanjeev Kumar Singh.   

Abstract

The development of SrtA inhibitors targeting the biothreat organism namely Bacillus anthracis was achieved by the combined approach of pharmacophore modeling, binding interactions, electron transferring capacity, ADME, and Molecular dynamics studies. In this study, experimentally reported Ba-SrtA inhibitors (pyridazinone and pyrazolethione derivatives) were considered for the development of enhanced pharmacophoric model. The obtained AAAHR hypothesis was a pure theoretical concept that accounts for common molecular interaction network present in experimentally active pyridazinone and pyrazolethione derivatives. Pharmacophore-based screening of AAAHR hypothesis provides several new compounds, and those compounds were treated with four phases of docking protocols with combined Glide-QPLD docking approach. In this approach, scoring and charge accuracy variations were seen to be dominated by QM/MM approach through the allocation of partial charges. Finally, we reported the best compounds from binding db, Chembridge db, and Toslab based on scoring values, energy parameters, electron transfer reaction, ADME, and cell adhesion inhibition activity. The dynamic state of interaction and binding energy assess that new compounds are more active inside the binding pocket and these compounds on experimental validations will survive as better inhibitors for targeting the cell adhesion mechanism of Ba-SrtA.

Entities:  

Keywords:  B. anthracis; QPLD; SrtA; cell adhesion; molecular dynamics; partial charges; sortase

Mesh:

Substances:

Year:  2013        PMID: 23869520     DOI: 10.1080/07391102.2013.818577

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  7 in total

1.  Targeting the cyclin-binding groove site to inhibit the catalytic activity of CDK2/cyclin A complex using p27(KIP1)-derived peptidomimetic inhibitors.

Authors:  Arumugasamy Karthiga; Sunil Kumar Tripathi; Ramasamy Shanmugam; Venkatesan Suryanarayanan; Sanjeev Kumar Singh
Journal:  J Chem Biol       Date:  2014-09-18

2.  Examine the characterization of biofilm formation and inhibition by targeting SrtA mechanism in Bacillus subtilis: a combined experimental and theoretical study.

Authors:  Chandrabose Selvaraj; Jeyachandran Sivakamavalli; Baskaralingam Vaseeharan; Poonam Singh; Sanjeev Kumar Singh
Journal:  J Mol Model       Date:  2014-07-20       Impact factor: 1.810

Review 3.  Mechanisms of Proteolytic Enzymes and Their Inhibition in QM/MM Studies.

Authors:  Brigitta Elsässer; Peter Goettig
Journal:  Int J Mol Sci       Date:  2021-03-22       Impact factor: 5.923

4.  Interrogation of Bacillus anthracis SrtA active site loop forming open/close lid conformations through extensive MD simulations for understanding binding selectivity of SrtA inhibitors.

Authors:  Chandrabose Selvaraj; Gurudeeban Selvaraj; Randa Mohamed Ismail; Rajendran Vijayakumar; Alaa Baazeem; Dong-Qing Wei; Sanjeev Kumar Singh
Journal:  Saudi J Biol Sci       Date:  2021-05-08       Impact factor: 4.219

5.  In silico Screening of Natural Phytocompounds Towards Identification of Potential Lead Compounds to Treat COVID-19.

Authors:  Muthumanickam Sankar; Balajee Ramachandran; Boomi Pandi; Nachiappan Mutharasappan; Vidhyavathi Ramasamy; Poorani Gurumallesh Prabu; Gowrishankar Shanmugaraj; Yao Wang; Brintha Muniyandai; Subaskumar Rathinasamy; Balakumar Chandrasekaran; Mohammad F Bayan; Jeyakanthan Jeyaraman; Gurumallesh Prabu Halliah; Solomon King Ebenezer
Journal:  Front Mol Biosci       Date:  2021-07-05

6.  Identification of new anti-nCoV drug chemical compounds from Indian spices exploiting SARS-CoV-2 main protease as target.

Authors:  Debanjan Kundu; Chandrabose Selvaraj; Sanjeev Kumar Singh; Vikash Kumar Dubey
Journal:  J Biomol Struct Dyn       Date:  2020-05-13       Impact factor: 5.235

7.  High-Throughput Screening and Quantum Mechanics for Identifying Potent Inhibitors Against Mac1 Domain of SARS-CoV-2 Nsp3.

Authors:  Chandrabose Selvaraj; Dhurvas Chandrasekaran Dinesh; Umesh Panwar; Evzen Boura; Sanjeev Kumar Singh
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2021-08-06       Impact factor: 3.702

  7 in total

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