Evidence map›Paper›PMID 41729434›Full record

ArticleVirus genes2026

Genotype-resolved NS5 stability predicts Japanese encephalitis virus fitness.

Hariprasad Thippeswamy, Varsha Ramesh, Kuralayanapalya Puttahonnappa Suresh, Jagadish Hiremath, Navnath Kamble, Azhahianambi Palavesam, Pinaki Prasad Sengupta

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Article in Virus genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hariprasad ThippeswamyICAR- National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Bengaluru, Karnataka, 560119, India.
Varsha RameshICAR- National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Bengaluru, Karnataka, 560119, India.
Kuralayanapalya Puttahonnappa SureshICAR- National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Bengaluru, Karnataka, 560119, India. suresh.kp@icar.org.in.
Jagadish HiremathICAR- National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Bengaluru, Karnataka, 560119, India.
Navnath KambleICAR- National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Bengaluru, Karnataka, 560119, India.
Azhahianambi PalavesamTranslational Research Platform for Veterinary Biologicals, Centre for Animal Health Studies, Tamil Nadu Veterinary and Animal Sciences University, Chennai, Tamil Nadu, India.
Pinaki Prasad SenguptaICAR- National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Bengaluru, Karnataka, 560119, India.

Funding

National Disease Modelling Consortium, Indian Institute of Technology Bombay 47013250001
6 · The paper itself

Abstract

Japanese encephalitis virus (JEV) remains a major health threat across Asia, yet the contribution of genotype-specific variation in the multifunctional NS5 protein to viral fitness is not fully resolved. This study evaluated how sequence differences among JEV genotypes G1-G5 shape NS5 stability and, in turn, replication potential. A unified in-silico workflow combined physicochemical profiling, residue-level substitution mapping, and atomistic molecular dynamics to compare structural stability and conformational behavior across genotypes, with a focus on substitutions predicted to modulate enzymatic performance. Analyses revealed that G5 NS5 maintains a balanced electrostatic environment and persistent hydrogen-bonding networks, yielding greater structural stability than other genotypes. In contrast, G4 NS5 presented a charge imbalance and reduced stability. Simulations consistently supported the robustness of G5 dynamics, with specific substitutions, including Y65, M59, E182, and T191, contributing to improved packing, favorable local interactions, and putative gains in catalytic efficiency. These molecular attributes align with heightened replication capacity and provide a mechanistic rationale for the recent prominence of G5 strains relative to G1-G4. Comprising together, our results demonstrate that genotype-linked substitutions in NS5 directly influence protein stability, replication efficiency, and adaptive potential. Translationally, prioritizing G5-informed NS5 features may guide the design of small-molecule inhibitors and vaccine antigens with broader protective value.

Indexed as

Encephalitis, JapaneseEncephalitis Virus, JapaneseViral Nonstructural ProteinsAmino Acid SubstitutionAnimalsGenotypeHumansMolecular Dynamics SimulationProtein StabilityVirus ReplicationNS5 protein, flavivirusViral Nonstructural ProteinsJapanese Encephalitis (JE)MD SimulationNon-structural protein-5(NS5)Residue-level substitutionStructure modeling

Identifiers

PMID41729434

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