Article

FENNEC: Fine-Tuned Ensemble Neural Networks Accelerate Chemically Modified siRNA Screening and Design

2026-06-14

Abstract excerpt

<h4>ABSTRACT</h4> Small interfering RNAs (siRNAs) are a clinically validated therapeutic modality, but designing potent chemically modified siRNAs remains costly and iterative due to limited public data. Computational prediction of siRNA efficacy can accelerate rational design and preclinical development. However, despite the importance of chemical modifications in therapeutic performance, current machine-learnin...

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Literature Corpus work: 9a797e4f-7d06-51f5-888c-89182642918f
DOI: 10.64898/2026.06.13.732049

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