Most disease-associated genetic variants lie in non-coding regions1,2, yet mechanistic insights are limited by the lack of an empirical framework for characterizing the molecular consequences of regulatory variation. Single-cell molecular quantitative trait locus (QTL) mapping3,4 connects variants to gene regulation bu...
Masahiro Kanai, T. Delorey, Jarno Honkanen et al.· Nature· 2 citations
PepGen provides scalable, motif-constrained MHC II peptide redesign and de novo generation, validated through thorough benchmarks and functional assays.
Dani Korpela, A. Dumitrescu, Martin Stražar et al.· Bioinformatics· 0 citations
PepChem, a deep learning model utilizing novel, molecular-level peptide representations that enable predictions for sidechain modifications, bridges the critical gap in PTM-aware immune recognition prediction, with immediate applications in autoimmunity, cancer, and infectious disease.
A. Dumitrescu, Dani Korpela, Adrian M. Bebenek et al.· bioRxiv· 0 citations
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