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Identification and Bioinformatics Study of Antibacterial Peptides from Symbiotic Bacteria Associated with Macroalgae Sargassum sp

Article

Last updated: 01 Jan 2025

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Subjects

-

Tags

Biochemistry

Abstract

This study aims to identify fragment peptides isolation from symbiotic bacteria associated with macroalgae Sargassum sp and predict antibacterial properties from peptides by bioinformatics analysis. Identification fragment peptide using LC-MS/MS with de novo sequencing method. AMP Scanner Vr.2, iAMP-2L, DBAASP used for prediction antibacterial activities. The peptides' potency as antibacterial was evaluated by looking at the peptides' physicochemical properties used APD3 and ProtParam software. The result showed ten peptides sequences, and these peptides were the first reported; five peptides have antibacterial activities according to data from the software. Physicochemical properties from five peptides show the exciting activity to be used as antibacterial agents. The F4h1k peptide sequence has a higher potential according to data physicochemical. However, it is not yet certain which peptides provide the most optimal activity. It needs to be analyzed further.

DOI

10.21608/ejchem.2021.68242.3492

Keywords

Antibacterial, bioinformatic study, de novo sequencing, symbiotic bacteria, peptide

Authors

First Name

Nur

Last Name

Asmi

MiddleName

-

Affiliation

Chemistry Department, Mathematics and Natural Sciences, Hasanuddin University, Makassar, Indonesia

Email

nurasmi0193@gmail.com

City

-

Orcid

0000-0001-6366-1832

First Name

Ahyar

Last Name

Ahmad

MiddleName

-

Affiliation

Chemistry Department, Mathematics and Natural Sciences, Hasanuddin University, Makassar, Indonesia

Email

ahyarahmad@gmail.com

City

Makassar

Orcid

0000-0002-0913-4721

First Name

Hasnah

Last Name

Natsir

MiddleName

-

Affiliation

Chemistry Department, Mathematics and Natural Sciences, Hasanuddin University, Makassar, Indonesia

Email

hasnahnatsir@gmail.com

City

Makassar

Orcid

0000-0002-3436-6073

First Name

Muhammad

Last Name

Massi

MiddleName

Nasrum

Affiliation

Department of Microbiology, Faculty of Medicine, Hasanuddin University, Makassar 90245, Indonesia

Email

nasrumm2000@yahoo.com

City

Makassar

Orcid

0000-0002-3347-6529

First Name

Harningsih

Last Name

Karim

MiddleName

-

Affiliation

Pharmacy College YAMASI, Makassar 90222, Indonesia

Email

harningsihkarim@gmail.com

City

Makassar

Orcid

-

Volume

64

Article Issue

9

Related Issue

27062

Issue Date

2021-09-01

Receive Date

2021-03-17

Publish Date

2021-09-01

Page Start

4,883

Page End

4,888

Print ISSN

0449-2285

Online ISSN

2357-0245

Article File

EJCHEM_Volume 64_Issue 9_Pages 4883-4888.pdf

PDF . 508.7kB

Link

https://ejchem.journals.ekb.eg/article_165700.html

Detail API

https://ejchem.journals.ekb.eg/service?article_code=165700

Order

18

Type

Original Article

Type Code

297

Publication Type

Journal

Publication Title

Egyptian Journal of Chemistry

Publication Link

https://ejchem.journals.ekb.eg/

MainTitle

Identification and Bioinformatics Study of Antibacterial Peptides from Symbiotic Bacteria Associated with Macroalgae Sargassum sp

Details

Type

Article

Created At

22 Jan 2023