Execution and Design of an Anti HPIV-1 Vaccine with Multiple Epitopes Triggering Innate and Adaptive Immune Responses: An Immunoinformatic Approach.

HPIV Type-I computational vaccine hemagglutinin-neuraminidase (HN) protein immune simulations laryngotracheobronchitis molecular docking

Journal

Vaccines
ISSN: 2076-393X
Titre abrégé: Vaccines (Basel)
Pays: Switzerland
ID NLM: 101629355

Informations de publication

Date de publication:
29 May 2022
Historique:
received: 24 03 2022
revised: 20 05 2022
accepted: 26 05 2022
entrez: 24 6 2022
pubmed: 25 6 2022
medline: 25 6 2022
Statut: epublish

Résumé

Human Parainfluenza Virus (HPIV) Type-1, which is an anti-sense ribonucleic acid (RNA) virus belonging to the paramyxoviridae family, induces upper and lower respiratory tract infections. The infections caused by the HPIV Type-1 virus are usually confined to northwestern regions of America. HPIV-1 causes infections through the virulence of the hemagglutinin-neuraminidase (HN) protein, which plays a key role in the attachment of the viral particle with the host's receptor cells. To the best of our knowledge, there is no effective antiviral drugs or vaccines being developed to combat the infection caused by HPIV-1. In the current study, a multiple epitope-based vaccine was designed against HPIV-1 by taking the viral HN protein as a probable vaccine candidate. The multiple epitopes were selected in accordance with their allergenicity, antigenicity and toxicity scoring. The determined epitopes of the HN protein were connected simultaneously using specific conjugates along with an adjuvant to construct the subunit vaccine, with an antigenicity score of 0.6406. The constructed vaccine model was docked with various Toll-like Receptors (TLRs) and was computationally cloned in a pET28a (+) vector to analyze the expression of vaccine sequence in the biological system. Immune stimulations carried out by the C-ImmSim Server showed an excellent result of the body's defense system against the constructed vaccine model. The AllerTop tool predicted that the construct was non-allergen with and without the adjuvant sequence, and the VaxiJen 2.0 with 0.4 threshold predicted that the construct was antigenic, while the Toxinpred predicted that the construct was non-toxic. Protparam results showed that the selected protein was stable with 36.48 instability index (II) scores. The Grand average of Hydropathicity or GRAVY score indicated that the constructed protein was hydrophilic in nature. Aliphatic index values (93.53) confirmed that the construct was thermostable. This integrated computational approach shows that the constructed vaccine model has a potential to combat laryngotracheobronchitis infections caused by HPIV-I.

Identifiants

pubmed: 35746477
pii: vaccines10060869
doi: 10.3390/vaccines10060869
pmc: PMC9228812
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Muhammad Naveed (M)

Department of Biotechnology, Faculty of Life Sciences, University of Central Punjab, Lahore 54000, Pakistan.

Allah Rakha Yaseen (AR)

Department of Biotechnology, Faculty of Life Sciences, University of Central Punjab, Lahore 54000, Pakistan.

Hira Khalid (H)

Department of Medical Education, King Edward Medical University, Lahore 54000, Pakistan.

Urooj Ali (U)

Department of Biotechnology, Faculty of Life Sciences, University of Central Punjab, Lahore 54000, Pakistan.

Ali A Rabaan (AA)

Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran 31311, Saudi Arabia.
College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
Department of Public Health and Nutrition, The University of Haripur, Haripur 22610, Pakistan.

Mohamed Garout (M)

Department of Community Medicine and Health Care for Pilgrims, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia.

Muhammad A Halwani (MA)

Department of Medical Microbiology, Faculty of Medicine, Al Baha University, Al Baha 4781, Saudi Arabia.

Abbas Al Mutair (A)

Research Center, Almoosa Specialist Hospital, Al-Ahsa 36342, Saudi Arabia.
College of Nursing, Princess Norah Bint Abdulrahman University, Riyadh 11564, Saudi Arabia.
School of Nursing, Wollongong University, Wollongong, NSW 2522, Australia.

Saad Alhumaid (S)

Administration of Pharmaceutical Care, Al-Ahsa Health Cluster, Ministry of Health, Al-Ahsa 31982, Saudi Arabia.

Zainab Al Alawi (Z)

Division of Allergy and Immunology, College of Medicine, King Faisal University, Al-Ahsa 31982, Saudi Arabia.

Yousef N Alhashem (YN)

Department of Clinical Laboratory Sciences, Mohammed AlMana College of Health Sciences, Dammam 34222, Saudi Arabia.

Naveed Ahmed (N)

Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Malaysia.

Chan Yean Yean (CY)

Department of Medical Microbiology and Parasitology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu 16150, Malaysia.

Classifications MeSH