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MkAtt-SDN2GO: Multi-kernel Attentive-SDN2GO Network for Protein Function Prediction in Humans

2025-11-04

Abstract excerpt

Accurately annotating the functions of uncharacterised human proteins remains a major bottleneck in biology. We present MkAtt–SDN2GO , a neural architecture that extends SDN2GO by integrating adaptive multi-kernel convolution and attention mechanisms to predict Gene Ontology terms from protein sequences, domains, and protein–protein interaction (PPI) context. The sequence stream employs a learnable multi-kernel c...

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Literature Corpus work
39a27b4e-fd25-5d8f-b6ea-ee55dcb026e4
DOI
10.1101/2025.11.02.686093
Open publication

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MkAtt-SDN2GO: Multi-kernel Attentive-SDN2GO Network for Protein Function Prediction in HumansDOI 10.1101/2025.11.02.686093
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