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Parapred

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Leverage features from local residue neighbourhoods and across the entire sequence using deep-learning architecture. Parapred provides a method for sequence-based prediction of paratope residues. It is able to generalise using only antibody sequence stretches corresponding to the complementarity determining regions (CDRs). It does not rely on any higher-level antibody features: no full sequence, homology model, crystal structure or antigen information is required.

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Parapred versioning

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Parapred classification

Parapred specifications

Software type:
Package/Module
Restrictions to use:
None
Operating system:
Unix/Linux
License:
MIT License
Stability:
Stable
Maintained:
Yes
Interface:
Command line interface
Input data:
the amino acid sequence of a CDR and four adjacent residues.
Programming languages:
Python
Computer skills:
Advanced

Parapred support

Maintainers

  • Michele Vendruscolo <>
  • pietrosormanni <>
  • Edgar Liberis <>
  • Petar Velickovic <>
  • Pietro Lio <>

Credits

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Publications

Institution(s)

Department of Chemistry, University of Cambridge, UK

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