AI Article Synopsis

  • Influenza A H3N2 causes annual outbreaks in humans due to its continuous structural changes, particularly in its hemagglutinin (HA) protein.
  • The study focuses on analyzing H3N2 HA models from recent strains (2014-2018) to understand the impact of specific amino acid residues on viral evolution and infection.
  • Findings indicate that amino acid changes at residues 159-160 influence the orientation of residue 158, affecting the overall structure of the HA backbone and contributing to antigenic drift and receptor binding.

Article Abstract

Influenza A H3N2 has been linked to annual outbreaks within the human population attributable to continuous structural changes. H3N2 HA contains well identified antigenic sites and receptor-binding sites (RBS) that are possibly correlated to viral evolution and infection. However, the structural significance of amino acid residues associated with both viral evolution and infection were not fully demonstrated. Throughout this study, we generated and analyzed H3N2 HA models that represented the clade 3C.2 population (comprised of clades 3C.2, 3C.2a, and 3C.21 from the transitioning 2014-2018 H3N2 strains) and 3C.3a (from the 2016 H3N2 strain). Model quality estimation, structural analyses and superimposition, and network analytics of H3N2 HA1 evolution were performed. We found that the structural properties of residues 158-160 could influence the overall HA backbone. More specifically, amino acid substitutions at residues 159-160 affected the amino acid orientation at residue 158, thereby, causing the overall HA backbone structure to vary. Our results were consistent with 1968-2018 HA1 evolution. Taken together, we propose that our results would highlight the structural significance of residues 158-160 in HA1 for both antigenic drift and RBS.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jmgm.2019.02.007DOI Listing

Publication Analysis

Top Keywords

structural significance
12
residues 158-160
12
viral evolution
12
evolution infection
12
amino acid
12
significance residues
8
ha1 evolution
8
h3n2
7
structural
6
residues
5

Similar Publications

Over the past few decades, significant efforts have been dedicated to advancing technologies for the removal of micropollutants from water. Achieving complete pure water with a single treatment process is challenging and nearly impossible. One promising approach among various alternatives is adopting hybrid technology, which is considered as a win-win technology.

View Article and Find Full Text PDF

Background: Previous research suggested that parent-administered pediatric tuina could improve symptoms of attention-deficit/hyperactivity disorder (ADHD), such as sleep quality and appetite.

Objective: This study aimed to explore the experiences and perceptions of parents administering pediatric tuina to school-aged children with ADHD in Hong Kong.

Methods: This qualitative study was embedded in a pilot randomized controlled trial on parent-administered pediatric tuina for improving sleep and appetite in school-aged children diagnosed with ADHD.

View Article and Find Full Text PDF

Evolution of Artificial Intelligence in Medical Education From 2000 to 2024: Bibliometric Analysis.

Interact J Med Res

January 2025

Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Background: Incorporating artificial intelligence (AI) into medical education has gained significant attention for its potential to enhance teaching and learning outcomes. However, it lacks a comprehensive study depicting the academic performance and status of AI in the medical education domain.

Objective: This study aims to analyze the social patterns, productive contributors, knowledge structure, and clusters since the 21st century.

View Article and Find Full Text PDF

Accurately calculating the diradical character () of molecular systems remains a significant challenge due to the scarcity of experimental data and the inherent multireference nature of the electronic structure. In this study, various quantum mechanical approaches, including broken symmetry density functional theory (BS-DFT), spin-flip time-dependent density functional theory (SF-TDDFT), mixed-reference spin-flip time-dependent density functional theory (MRSF-TDDFT), complete active space self-consistent field (CASSCF), complete active space second-order perturbation theory (CASPT2), and multiconfigurational pair-density functional theory (MCPDFT), are employed to compute the singlet-triplet energy gaps () and values in Thiele, Chichibabin, and Müller analogous diradicals. By systematically comparing the results from these computational methods, we identify optimally tuned long-range corrected functional CAM-B3LYP in the BS-DFT framework as a most efficient method for accurately and affordably predicting both and values.

View Article and Find Full Text PDF

The ionizable lipid component of lipid nanoparticle (LNP) formulations is essential for mRNA delivery by facilitating endosomal escape. Conventionally, these lipids are synthesized through complex, multistep chemical processes that are both time-consuming and require significant engineering. Furthermore, the development of new ionizable lipids is hindered by a limited understanding of the structure-activity relationships essential for effective mRNA delivery.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!