Evidence map›Paper›PMID 40146495›Full record

ArticleCell biochemistry and biophysics2025

Identification of Novel Neuraminidase Inhibitors as Potential Anti-Influenza Agents: Virtual Screening, Molecular Docking, in vitro Validation and Molecular Dynamic Simulation Studies.

Junya Liu, Jinbo Niu, Lihua Xu, Huiru Zhao

Abstract read
PubMed Publisher
In one paragraph

Article in Cell biochemistry and biophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Junya LiuOffice of Drug Clinical Trials, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jinbo NiuOffice of Drug Clinical Trials, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Lihua XuTianjian Laboratory of Advanced Biomedical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China. xulihuayky@zzu.edu.cn.
Huiru ZhaoInfectious Diseases Department, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China. hnwsjsfz@126.com.

Funding

Key Technologies R&D Program of Henan Province No. 242102311223Medical Science and Technology Key Project of Henan Province (Joint Construction) No. LHGJ20220530
6 · The paper itself

Abstract

The influenza virus causes approximately hundreds of thousands of deaths annually. Coupled with the emergence of drug resistance, there is an urgent need to develop new drugs for the treatment of influenza. Neuraminidase (NA) has long been recognized as a valid drug target for anti-influenza therapy. Herein, in order to identify potential NA inhibitors with novel structures, we employed a structure-based virtual screening strategy to screen a library containing 1.6 million compounds. Based on XP docking score and free energy calculation results, the three compounds E570-1769, K788-4718, and C071-0424 were selected that may have better binding affinity for the NA protein compared to oseltamivir. Amongst, E570-1769 was identified to be the most potential hit. Docking study showed that E570-1769 bound to NA with a binding energy of -10.3 kcal/mol. Moreover, in silico ADME/T studies demonstrated the druggability of E570-1769 was quite well. Furthermore, in vitro assay demonstrated that E570-1769 inhibited the wild-type and H274Y-muatated NAs with IC

Indexed as

Antiviral AgentsEnzyme InhibitorsMolecular Docking SimulationMolecular Dynamics SimulationNeuraminidaseDrug Evaluation, PreclinicalHumansOseltamivirAntiviral AgentsEnzyme InhibitorsNeuraminidaseOseltamivirInfluenzaMD simulationMolecular dockingNeuraminidaseVirtual screening

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.