Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Analysis of viral diversity for vaccine target discovery.

BMC medical genomics - 21 Dec 2017

Khan Asif M, Hu Yongli, Miotto Olivo, Thevasagayam Natascha M, Sukumaran Rashmi, Abd Raman Hadia Syahirah, Brusic Vladimir, Tan Tin Wee, Thomas August J

Abstract excerpt

BACKGROUND: Viral vaccine target discovery requires understanding the diversity of both the virus and the human immune system. The readily available and rapidly growing pool of viral sequence data in the public domain enable the identification and characterization of immune targets relevant to adaptive immunity. A systematic bioinformatics approach is necessary to facilitate the analysis of such large datasets...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Viral Vaccines
Share to Amino Acid Sequence

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Computational Biology

Share to Conserved Sequence

Share to Genetic Variation

Share to Species Specificity

Share to Viral Proteins

Source

Open in PubMed Open full text

Identifiers

PMID: 29322922
DOI: 10.1186/s12920-017-0301-2
PMCID: PMC5763473

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Analysis of viral diversity for vaccine target discovery.PMID 29322922Read ↗

Designing a multi-epitope vaccine against the Lassa virus through reverse vaccinology, subtractive proteomics, and immunoinformatics approachesSemantic proximity Read ↗

CoronaVR: A Computational Resource and Analysis of Epitopes and Therapeutics for Severe Acute Respiratory Syndrome Coronavirus-2Semantic proximity Read ↗

Next-Generation Bioinformatics Approaches and Resources for Coronavirus Vaccine Discovery and Development—A Perspective ReviewSemantic proximity Read ↗

Robust Multiepitope Vaccine from Glycoproteins Against Human Metapneumovirus Genotypes A2a, A2b, and A2c by Utilizing Immunoinformatics and Reverse Vaccinology ApproachesSemantic proximity Read ↗

Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth in the Context of a CD8 T-Cell Mediated HIV Response.Semantic proximity Read ↗

Reverse vaccinology approaches to design a potent multiepitope vaccine against the HIV whole genome: immunoinformatic, bioinformatics, and molecular dynamics approachesSemantic proximity Read ↗

Targeting HIV-1 conserved regions: An immunoinformatic pathway to vaccine innovation for the AsiaSemantic proximity Read ↗

Conservation and Variability of Dengue Virus Proteins: Implications for Vaccine DesignSemantic proximity Read ↗

An AI-Driven Framework for the Design and Development of the Next-Generation Avian Viral VaccinesSemantic proximity Read ↗

Machine Learning–Driven Antigen Selection Reveals Conserved T-Cell Targets for Broad Coronavirus VaccinationSemantic proximity Read ↗

Current Challenges in VaccinologySemantic proximity Read ↗

Immunoinformatics-aided rational design of multiepitope-based peptide vaccine (MEBV) targeting human parainfluenza virus 3 (HPIV-3) stable proteinsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.