In-silico immunoinformatic vaccine design for Treponema denticola ergothionase.


Journal

Minerva dental and oral science
ISSN: 2724-6337
Titre abrégé: Minerva Dent Oral Sci
Pays: Italy
ID NLM: 101778009

Informations de publication

Date de publication:
29 Oct 2024
Historique:
medline: 29 10 2024
pubmed: 29 10 2024
entrez: 29 10 2024
Statut: aheadofprint

Résumé

Treponema denticola, a well-studied oral spirochete, adheres, invades, and damages periodontal tissues - gram-negative, anaerobic Treponema denticola. In previous research, sub-gingival spirochetes have correlated positively with dental plaque score, pocket, and clinical attachment level measurements. Hence, the study aims to design an immunoinformatic vaccine using a reverse vaccinology approach against Treponema denticola ergothionase. Protein Data Bank provided the FASTA amino acid sequence of Treponema denticola. Antigenicity, toxicity, and stability of discovered T-cell epitopes were evaluated to develop 6S7Q B and A multiepitope vaccination design. The Vaccine's dual major histocompatibility complex (MHC I and II) binding epitopes were also predicted. The designed Vaccine's identified epitope sequence and secondary structure were then predicted and validated. Protein-protein interactions involving ergothionase and human beta-defensins were investigated using molecular docking. The designed Vaccine had high antigenicity, toxicity, and stability. The Vaccine's three-dimensional structure demonstrated a significant association with beta-defensin. Its low binding energy score of -827.6 kcal/mol indicates that the immune system will respond favorably to the antigen. In this research, we employed immunoinformatic techniques to create a reverse vaccination effort to develop an in-silico vaccine.

Sections du résumé

BACKGROUND BACKGROUND
Treponema denticola, a well-studied oral spirochete, adheres, invades, and damages periodontal tissues - gram-negative, anaerobic Treponema denticola. In previous research, sub-gingival spirochetes have correlated positively with dental plaque score, pocket, and clinical attachment level measurements. Hence, the study aims to design an immunoinformatic vaccine using a reverse vaccinology approach against Treponema denticola ergothionase.
METHODS METHODS
Protein Data Bank provided the FASTA amino acid sequence of Treponema denticola. Antigenicity, toxicity, and stability of discovered T-cell epitopes were evaluated to develop 6S7Q B and A multiepitope vaccination design. The Vaccine's dual major histocompatibility complex (MHC I and II) binding epitopes were also predicted. The designed Vaccine's identified epitope sequence and secondary structure were then predicted and validated. Protein-protein interactions involving ergothionase and human beta-defensins were investigated using molecular docking.
RESULTS RESULTS
The designed Vaccine had high antigenicity, toxicity, and stability. The Vaccine's three-dimensional structure demonstrated a significant association with beta-defensin. Its low binding energy score of -827.6 kcal/mol indicates that the immune system will respond favorably to the antigen.
CONCLUSIONS CONCLUSIONS
In this research, we employed immunoinformatic techniques to create a reverse vaccination effort to develop an in-silico vaccine.

Identifiants

pubmed: 39470591
pii: S2724-6329.24.04915-5
doi: 10.23736/S2724-6329.24.04915-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Jai P Rexlin (JP)

Department of Periodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India.

Jeevitha Manickavasagam (J)

Department of Periodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India.

Pradeep K Yadalam (PK)

Department of Periodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India - pradeepkumar.sdc@saveetha.com.

Deepti Shrivastava (D)

Department of Periodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India.
Periodontics Division, Preventive Dentistry Department, College of Dentistry, Jouf University, Sakaka, Saudi Arabia.

Kumar C Srivastava (KC)

Oral Medicine and Maxillofacial Radiology Division, Department of Oral and Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, Jouf University, Sakaka, Saudi Arabia.

Vincenzo Ronsivalle (V)

Department of Biomedical and Surgical and Biomedical Sciences, Catania University, Catania, Italy.

Marco Cicciù (M)

Department of Biomedical and Surgical and Biomedical Sciences, Catania University, Catania, Italy.

Giuseppe Minervini (G)

Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, India.
Multidisciplinary Department of Medical-Surgical and Dental Specialties, Luigi Vanvitelli University of Campania, Naples, Italy.

Classifications MeSH