What question did this study set out to answer?

This research aims to enhance the binding affinity of aptamers for the HN protein of Newcastle disease virus.

May 6, 2026

Improving aptamer binding affinity for HN protein of newcastle disease virus: molecular dynamics simulations and MM/GBSA calculations studies.

SJShuang JiangChongqing Normal University WXWen XuFujian University of Traditional Chinese Medicine XZXiaoling ZhengChongqing Normal University

Key Points

This research aims to enhance the binding affinity of aptamers for the HN protein of Newcastle disease virus.
Used 600ns molecular dynamics simulations with amberff14sb and parmbsc1 force fields.
Applied MM/GBSA calculations for free energy assessments.
Truncated aptamer sequences systematically to eliminate length bias.
Identified a 10-nucleotide aptamer variant with improved binding metrics.
Achieved hydrogen bond efficiency ratio of 1.055 and binding free energy efficiency ratio of -5.124 kcal/mol.
Confirmed threefold increase in binding affinity using a graphene oxide-based fluorescence quenching assay.

Abstract

Aptamers, as single-stranded DNA (ssDNA) or RNA oligonucleotides, are pivotal in biosensing due to their high affinity. However, excessive lengths of these nucleic acid probes can impair their binding affinity and target recognition efficiency. Traditional optimization methods, such as static structural modeling, fail to capture the dynamic interactions between aptamers and biological macromolecules. Therefore, optimizing aptamer length to enhance affinity while maintaining effective target recognition is crucial. Here, we employed 600ns molecular dynamics (MD) simulations using the amberff14sb and parmbsc1 force fields, alongside molecular mechanics/generalized Born surface area (MM/GBSA) free energy calculations to optimize the binding affinity of a ssDNA aptamer targeting the hemagglutinin-neuraminidase (HN) protein-a critical surface receptor of Newcastle disease virus (NDV) responsible for viral attachment and entry. By systematically truncating the aptamer sequence guided by normalized criteria to eliminate length bias, we identified a 10-nucleotide variant (fqh-2) that exhibited a hydrogen bond efficiency ratio (HBER) of 1.055 and a binding free energy efficiency ratio (BFEER) of -5.124 kcal/mol, reflecting enhanced interactions with the HN protein. Furthermore, a graphene oxide (GO)-based fluorescence quenching assay confirmed a threefold increase in binding affinity for the optimized aptamer, aligning with computational predictions. This study not only provides a dynamic structure-guided framework for aptamer optimization but also lays a theoretical foundation for further advancements in optimizing and tailoring aptamers for specific applications.

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