Computational investigation on protein sequence of non-O157 VTEC for potentiality of vaccine production

Karim Khan, Md Fazlul and Kabir, M. Nomani and Rashid, Shah Samiur and Tayan, Omar and Mohammad Nazmul Hasan, Maziz (2020) Computational investigation on protein sequence of non-O157 VTEC for potentiality of vaccine production. In: IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2020), 20-20 June 2020 , Shah Alam, Selangor, Malaysia. pp. 57-61.. ISBN 978-1-7281-6133-4

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Computational method can be used for investigation of the protein sequences for developing a vaccine against infections. In this present study, a protein derived from non-O157 Verotoxin-producing E. coli (VTEC) was identified as a potential vaccine candidate that can be used to evaluate their immunogenicity and protective capability against VTEC infections. Identification of potential B-cell epitopes for promising vaccine was carried out by evaluating the protein derived from non-O157 VTEC with the methods of beta turns, hydropathicity, surface accessibility and antigenicity. The methods were implemented in MATLAB. Our test results demonstrated that the VTEC-derived protein has plausible characteristics which provide significant insights for further investigations and will assist in finding potential drug targets/vaccine candidates.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Modeling; Protein sequencing, Verotoxinproducing E-coli; B-cell epitopes.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty/Division: Faculty of Computing
Depositing User: Dr. Muhammad Nomani Kabir
Date Deposited: 24 Sep 2020 08:24
Last Modified: 13 Dec 2022 07:49
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