Author

Soumajit Pramanik

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#natural language process... Preprint Oct 2026

Towards Explaining Query Expansion Performance in Information Retrieval

It is found that expanded queries that are closer to the ideal expanded query tend to achieve higher retrieval effectiveness and it is shown that the separability of relevant and non-relevant documents provides a complementary perspective for understanding QE performance.

Sourav Saha, A. Dutta, Soumajit Pramanik et al. · 0 citations

Open access Aug 2026

DeepPNI: a language- and graph-based model for mutation-driven protein–nucleic acid binding energetics

DeepPNI is a deep learning regression model that integrates sequence- and structure-based features to estimate mutation-induced changes in binding free energy in protein–nucleic acid complexes, developed using a comprehensive dataset of 1754 mutations spanning protein–DNA and protein–RNA complexes.

Somnath Mondal, Tinkal Mondal, Soumajit Pramanik et al. · Nucleic Acids Research · 0 citations