Jupytope

Jupytope extracts structural properties of viral epitopes to support immunological analyses such as vaccine development, disease diagnosis, and drug design.


Key Features:

  • Integration with Biopython, NACCESS, and DSSP: Leverages Biopython modules and external programs NACCESS and DSSP to compute solvent accessibility and assign secondary structure.
  • Comprehensive structural property extraction: Computes dihedral angles, solvent accessibility, residue depth, and secondary structure for specified epitope residues.
  • Spatial alignment to reference structures: Aligns epitope sites with corresponding reference structures prior to property extraction to preserve spatial context.
  • Data output flexibility: Exports extracted structural properties in multiple data formats for downstream analysis.

Scientific Applications:

  • Vaccine Development: Provides structural characterisation of epitopes to inform identification of potential vaccine targets.
  • Disease Diagnosis and Drug Design: Supports distinguishing viral strains and informing targeted therapeutic design using epitope structural signatures.
  • Subtype and clade differentiation (Influenza and SARS-CoV-2): Enables comparison of epitope properties to differentiate viral subtypes and clades, as demonstrated with Influenza and SARS-CoV-2 examples.

Methodology:

Accepts a viral antigen structure, a list of epitope sites, and a reference structure; performs spatial alignment of epitopes to the reference; uses Biopython together with NACCESS and DSSP to extract dihedral angles, solvent accessibility, residue depth, and secondary structure; and outputs results in multiple data formats.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
1/17/2023
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Epitope mapping

Publications

Rashid S, Ng TA, Kwoh CK. Jupytope: computational extraction of structural properties of viral epitopes. Briefings in Bioinformatics. 2022;23(6). doi:10.1093/bib/bbac362. PMID:36094101.

PMID: 36094101
Funding: - Ministry of Education: MOE2019-T2-2-175, MOE2020-T1-001-130