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G. Raghava

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Open access Oct 2026

AntiCapt: Fine-Tuned Nucleotide Language Models for Predicting and Designing Anticancer Aptamers

Over the past decade, aptamers have emerged as promising therapeutics, with cancer therapeutics as a major research area. Existing computational methods, however, either predict aptamer-target pairs or design aptamers against a specific target. In this study, we present AntiCapt, a computational method for identifying...

N. Bajiya, Naman Kumar Mehta, G. Raghava · 0 citations
Open access Jul 2026

AptViralDB: A Repository of Experimentally Validated Antiviral Aptamers

AptViralDB, a manually curated database providing comprehensive information on experimentally validated antiviral aptamers against 40 viral species and 104 molecular targets, compiled from literature and existing databases is described.

N. Bajiya, Shivansh Singh, P. S. Gahlot et al. · 0 citations
Open access Jul 2026

AptCancerDB: A Curated Knowledgebase and Translational Discovery Platform for Anticancer Aptamers

Aptamers are emerging as important molecular recognition ligands in oncology, playing significant roles in cancer diagnostics, targeted therapies, drug delivery systems, and molecular imaging, and the development of next-generation aptamer-based diagnostics and therapeutics.

N. Bajiya, Shivansh Singh, G. Raghava · 0 citations

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