Computational modelling and docking insight of bacterial peptide as ideal anti-tubercular and anticancer agents. (July 2020)
- Record Type:
- Journal Article
- Title:
- Computational modelling and docking insight of bacterial peptide as ideal anti-tubercular and anticancer agents. (July 2020)
- Main Title:
- Computational modelling and docking insight of bacterial peptide as ideal anti-tubercular and anticancer agents
- Authors:
- Khusro, Ameer
Aarti, Chirom
Agastian, Paul - Abstract:
- Abstract: The present investigation was assessed to predict the anti-tubercular and anticancer attributes of bacterial peptide SMANF2 using in silico docking tool. Initially, the structure of peptide SMANF2 was modelled and its stereo-chemical, physiochemical, and functional parameters were determined using various computational tools. Further, in silico molecular docking between peptide and targeted proteins of Mycobacterium tuberculosis and cancer cells (lung cancer – A540 cell line; colon cancer – HT-29 cell line) were predicted using Hex 8.0.0 docking software. Results predicted good stereo-chemical, physiochemical, and functional features of peptide SMANF2. The peptide exhibited the highest negative energy value (E-value) of -747.99 kJ/mol with LysA, followed by -735.43, -631.07, -549.28, and -285.06 kJ/mol with ribonucleotide reductase, alanine racemase, DNA gyrase, and isocitrate lyase, respectively of M. tuberculosis. Among targeted proteins of A540 cell line, peptide SMANF2 revealed the highest docking score of -539.12 kJ/mol with Bcl-2. On the other hand, the peptide showed highest negative E-value of -422.70 kJ/mol with Bcl-xL among targeted HT-29 cell line. In a nutshell, this in silico study predicted the anti-tubercular and anticancer traits of peptide SMANF2 that can be used as auspicious therapeutic agent in future. Highlights: Peptide SMANF2 showed good stereo-chemical, physiochemical, and functional properties. The peptide exhibited the highest E-value ofAbstract: The present investigation was assessed to predict the anti-tubercular and anticancer attributes of bacterial peptide SMANF2 using in silico docking tool. Initially, the structure of peptide SMANF2 was modelled and its stereo-chemical, physiochemical, and functional parameters were determined using various computational tools. Further, in silico molecular docking between peptide and targeted proteins of Mycobacterium tuberculosis and cancer cells (lung cancer – A540 cell line; colon cancer – HT-29 cell line) were predicted using Hex 8.0.0 docking software. Results predicted good stereo-chemical, physiochemical, and functional features of peptide SMANF2. The peptide exhibited the highest negative energy value (E-value) of -747.99 kJ/mol with LysA, followed by -735.43, -631.07, -549.28, and -285.06 kJ/mol with ribonucleotide reductase, alanine racemase, DNA gyrase, and isocitrate lyase, respectively of M. tuberculosis. Among targeted proteins of A540 cell line, peptide SMANF2 revealed the highest docking score of -539.12 kJ/mol with Bcl-2. On the other hand, the peptide showed highest negative E-value of -422.70 kJ/mol with Bcl-xL among targeted HT-29 cell line. In a nutshell, this in silico study predicted the anti-tubercular and anticancer traits of peptide SMANF2 that can be used as auspicious therapeutic agent in future. Highlights: Peptide SMANF2 showed good stereo-chemical, physiochemical, and functional properties. The peptide exhibited the highest E-value of -747.99 kJ/mol with LysA of M. tuberculosis. Peptide revealed the highest docking score of -539.12 kJ/mol with Bcl-2 of A540 cell line. Peptide showed highest E-value of -422.70 kJ/mol with Bcl-xL of HT-29 cell line. In silico study predicted to design peptide-based TB and cancer drugs in future. … (more)
- Is Part Of:
- Biocatalysis and agricultural biotechnology. Number 26(2020)
- Journal:
- Biocatalysis and agricultural biotechnology
- Issue:
- Number 26(2020)
- Issue Display:
- Volume 26, Issue 26 (2020)
- Year:
- 2020
- Volume:
- 26
- Issue:
- 26
- Issue Sort Value:
- 2020-0026-0026-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-07
- Subjects:
- Cancer -- Hex 8.0.0 docking software -- In silico -- M. tuberculosis -- Peptide
Agricultural biotechnology -- Periodicals
Enzymes -- Biotechnology -- Periodicals
660.6 - Journal URLs:
- http://rave.ohiolink.edu/ejournals/issn/18788181/ ↗
http://www.sciencedirect.com/science/journal/18788181 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.bcab.2020.101644 ↗
- Languages:
- English
- ISSNs:
- 1878-8181
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13440.xml