SixPack-AbScan: a web server to discover cross-reactivity of antibodies across species

Abstract

Availability of commercial antibodies for immunochemistry is typically limited to major model species. Researchers working on non-model organisms therefore often need either to generate novel species-specific antibodies or venture into expensive empirical screening from available antibody catalogues, hoping to find cross-reactive reagents. SixPack-AbScan is a free web server aiding researchers in transferring antibodies across species: using the available epitope-mapping information, the software performs a simple computational pre-screening of potential cross-reactivity. The workflow is species-agnostic and designed to help non-model-species researchers prioritize antibodies for experimental validation. A hit indicates sequence-level conservation of the epitopes and a high probability of cross-reactivity; the server does not model substitutions, structure, accessibility, expression or binding affinity. The web server is available at https://sixpack-abscan.serve.scilifelab.se.

Not all stress is equal: Examination stress and cortisol reactivity are associated with exploratory species-level variation but not broad restructuring of the gut microbiome
Connor B. O'Reilly, Timo Giesbrecht, John Tyson-Carr +5
Neurobiology of stress28 Sep 2026Peer-reviewedCC BYFull textNeuroscienceEurope PMC
Autonomous AI agents discover reverse transcriptases with tandem repeat arrays
P. H. Yoon, J. S. Athukoralage, E. Ameisen +3
bioRxiv5 Oct 2026PreprintCC BYFull textBioinformatics & computational biologybioRxiv
Machine Learning and Virtual Screening Methods to Discover Potential Cyclin-Dependent Kinase 2 (CDK2) Inhibitors
Shailima Rampogu, Thananjeyan Balasubramaniyam, Jacek Z. Kubiak +1
Pharmaceuticals30 Jun 2026Peer-reviewedCC BY 4.0Full textGeneral biologyHAL
Explainable Artificial Intelligence (XAI) and Molecular Modeling Techniques to Discover Putative HER2 Inhibitors
Shailima Rampogu, Thananjeyan Balasubramaniyam, Cheol-Hee Yoon +3
International Journal of Molecular Sciences22 Jul 2026Peer-reviewedCC BY 4.0Full textGeneral biologyHAL
Discover, Falsify, Revise: Auditing Input-Use Claims from Source Code to Predictive Contribution in Agent-Discovered Cell Models
Mengran Li, Bo Li, Chengyang Zhang +3
arXiv23 Sep 2026PreprintCC BY 4.0Full textBioinformatics & computational biologyarXiv

Cite

BibTeX RIS

BibTeX

@misc{grillo2026sixpackabscan,
  title = {{SixPack-AbScan: a web server to discover cross-reactivity of antibodies across species}},
  author = {M. Grillo},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.10.746162},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.10.746162v1},
  note = {CC BY},
}

RIS

TY  - UNPB
TI  - SixPack-AbScan: a web server to discover cross-reactivity of antibodies across species
AU  - M. Grillo
PY  - 2026
DA  - 2026/09/10
PB  - bioRxiv
DO  - 10.64898/2026.09.10.746162
UR  - https://www.biorxiv.org/content/10.64898/2026.09.10.746162v1
AB  - Availability of commercial antibodies for immunochemistry is typically limited to major model species. Researchers working on non-model organisms therefore often need either to generate novel species-specific antibodies or venture into expensive empirical screening from available antibody catalogues, hoping to find cross-reactive reagents. SixPack-AbScan is a free web server aiding researchers in transferring antibodies across species: using the available epitope-mapping information, the software performs a simple computational pre-screening of potential cross-reactivity. The workflow is species-agnostic and designed to help non-model-species researchers prioritize antibodies for experimental validation. A hit indicates sequence-level conservation of the epitopes and a high probability of cross-reactivity; the server does not model substitutions, structure, accessibility, expression or binding affinity. The web server is available at https://sixpack-abscan.serve.scilifelab.se.
ER  -

Abstract

Related

Cite