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Kingshuk Ghosh

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#machine learning Preprint Sep 2026

MT-ProtBERT: Multi-task Learning ProtBERT for Intrinsically Disordered Proteins Classification with Scarce Data

MT-ProtBERT consistently outperforms PARROT, an RNN-based IDP-specific model, across all tasks, and demonstrates that combining self-supervised and biochemistry-informed tasks, and multi-scale learning enables robust modeling of unstructured proteins under data scarcity.

Jian Sun, Kingshuk Ghosh, Lilianna Houston et al. · 0 citations
#protein folding Sep 2026

Conformational Landscape of a Marginally Disordered Protein HYPK and its Charge-Variant Mutant in the Context of Folded Domains

All-atom molecular dynamics simulations are used to understand the sequence-specific and structural origin of marginality in HYPK by investigating the conformation landscape of both the wild-type and a charge-variant mutant of HYPK, with and without fluorescent proteins attached at the N- and C- termini.

Kari Gaalswyk, M. Gruebele, Kingshuk Ghosh · 0 citations

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