Abhisek Dwivedy

This study develops a modular RNA-DNA nanoplatform to investigate how carrier geometry affects mRNA delivery efficiency and provides insights into structure-function relationships in nucleic acid delivery.

The paper introduces CASCAD, a DNA nanoplatform that reconstitutes supramolecular protein function, specifically apoptosome activity, through programmable assembly of caspase recruitment domains.

AptaBLE is a deep learning framework that predicts aptamer-protein binding and generates novel aptamers with high specificity and low Kd values.

This paper introduces a reusable high-throughput microfluidic platform with modular design and reversible bonding, enabling rapid and scalable biological experiments.

APIPred Web 1.0 predicts aptamer sequences for protein targets using machine learning and structural analysis, generating experimentally usable candidates with high specificity.

This paper develops a DNA nanostructure platform for ultrasensitive HIV-1 detection and antiviral activity, showing improved binding affinity and diagnostic performance.

This paper develops hybrid peptide-DNA nanomaterials that neutralize influenza viruses more effectively than free peptides by enhancing multivalent binding and reducing toxicity.

This study characterizes the NiRAN domain of SARS-CoV-2 RdRp, identifies its kinase-like activity, and predicts potential inhibitors for drug repurposing.

This study identifies 8 putative SARS-CoV-2 miRNAs and their potential human gene targets, showing down-regulation of these targets in infected samples.