Literature DB >> 25766242

Theoretical model to investigate the alkyl chain and anion dependent interactions of gemini surfactant with bovine serum albumin.

Vijay K Vishvakarma1, Kamlesh Kumari2, Rajan Patel3, V S Dixit4, Prashant Singh5, Gopal K Mehrotra2, Ramesh Chandra6, Anand Kumar Chakrawarty7.   

Abstract

Surfactants are used to prevent the irreversible aggregation of partially refolded proteins and they also assist in protein refolding. We have reported the design and screening of gemini surfactant to stabilize bovine serum albumin (BSA) with the help of computational tool (iGEMDOCK). A series of gemini surfactant has been designed based on bis-N-alkyl nicotinate dianion via varying the alkyl group and anion. On changing the alkyl group and anion of the surfactant, the value of Log P changes means polarity of surfactant can be tuned. Further, the virtual screening of the gemini surfactant has been carried out based on generic evolutionary method. Herein, thermodynamic data was studied to determine the potential of gemini surfactant as BSA stabilizer. Computational tools help to find out the efficient gemini surfactant to stabilize the BSA rather than to use the surfactant randomly and directionless for the stabilization. It can be confirmed through the experimental techniques. Previously, researcher synthesized one of the designed and used gemini surfactant to stabilize the BSA and their interactions were confirmed through various techniques and computational docking. But herein, the authors find the most competent gemini surfactant to stabilize BSA using computational tools on the basis of energy score. Different from the single chain surfactant, the gemini surfactants exhibit much stronger electrostatic and hydrophobic interactions with the protein and are thus effective at much lower concentrations. Based on the present study, it is expected that gemini surfactants may prove useful in the protein stabilization operations and may thus be effectively employed to circumvent the problem of misfolding and aggregation.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bovine serum albumin; Computational tools; Docking; Gemini surfactant; Screening

Mesh:

Substances:

Year:  2015        PMID: 25766242     DOI: 10.1016/j.saa.2015.01.068

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  5 in total

1.  A model to study the inhibition of nsP2B-nsP3 protease of dengue virus with imidazole, oxazole, triazole thiadiazole, and thiazolidine based scaffolds.

Authors:  Vijay Kumar Vishvakarma; Nidhi Shukla; Kamlesh Kumari; Rajan Patel; Prashant Singh
Journal:  Heliyon       Date:  2019-08-01

2.  Computational approach to study the synthesis of noscapine and potential of stereoisomers against nsP3 protease of CHIKV.

Authors:  Prashant Singh; Durgesh Kumar; Vijay Kumar Vishvakarma; Parul Yadav; Abhilash Jayaraj; Kamlesh Kumari
Journal:  Heliyon       Date:  2019-12-24

3.  Characterization, biological evaluation and molecular docking of mulberry fruit pectin.

Authors:  R Venkatesh Kumar; Devika Srivastava; Vandana Singh; Umesh Kumar; Vijay Kumar Vishvakarma; Prashant Singh; Dinesh Kumar; Rajesh Kumar
Journal:  Sci Rep       Date:  2020-12-11       Impact factor: 4.379

4.  Hunting the main protease of SARS-CoV-2 by plitidepsin: Molecular docking and temperature-dependent molecular dynamics simulations.

Authors:  Vijay Kumar Vishvakarma; Madhur Babu Singh; Pallavi Jain; Kamlesh Kumari; Prashant Singh
Journal:  Amino Acids       Date:  2021-11-22       Impact factor: 3.789

5.  In Silico Evaluation of Binding of 2-Deoxy-D-Glucose with Mpro of nCoV to Combat COVID-19.

Authors:  Anirudh Pratap Singh Raman; Kamlesh Kumari; Pallavi Jain; Vijay Kumar Vishvakarma; Ajay Kumar; Neha Kaushik; Eun Ha Choi; Nagendra Kumar Kaushik; Prashant Singh
Journal:  Pharmaceutics       Date:  2022-01-06       Impact factor: 6.321

  5 in total

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