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A. Phogat

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Open access Aug 2026

DBP-CanPred: a machine learning model for predicting cancer-causing mutations in DNA-binding proteins

A machine learning model is trained, DBP-CanPred, to identify driver mutations in DBPs using the sequence-derived evolutionary features, as well as structure-based features such as mutation-perturbed structural descriptors, which contributes to understanding mutation patterns in DNA-binding proteins and supports variant interpretation in cancer research.

A. Phogat, Sowmya Ramaswamy Krishnan, Medha Pandey et al. · Frontiers in Bioinformatics · 0 citations