Representative mimotope libraries

Compressing large IgOme arrays into smaller, representative peptide libraries, optimizing informatiion/library size tradeoff.

Project · Method

Compressing large IgOme arrays into smaller, representative peptide libraries, optimizing informatiion/library size trade-off.

Problem

Whole-repertoire mimotope arrays are too huge to be used for binding eaasys. Due to the many-to-many relationship, they are also redundant. Can a much smaller library preserve the information needed to classify conditions?

Method

Clustering in the space of mimotope sequences to identify a compact, symmetrically distributed representative set¹ .

Result & open questions

Demonstrated feasibility for the highly degenerate IgM repertoire; biomarkers extracted for several conditions. Open: stability of selected sets across cohorts^1,2.

Related: Mimotope spaces

References

1.

Pashov, A. et al. Diagnostic profiling of the human public IgM repertoire with scalable mimotope libraries. Frontiers in Immunology 10, 2796 (2019).

2.

Pashova-Dimova, S. et al. Changes in the public IgM repertoire and its idiotypic connectivity in alzheimer’s disease and frontotemporal dementia. J Neuroimmunol 409, 578775 (2025).