Evidence map›Paper›PMID 26645808›Full record

ArticleJournal of molecular modeling2016

Residue-based design of small molecule inhibitor for H1N1, H5N1 and H7N1 mutants.

Weng Ieong Tou, Kun-Lung Chang, Tung-Ti Chang, Cheng-Chun Lee, Calvin Yu-Chian Chen

Abstract read
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Article in Journal of molecular modeling, 2016. 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, top 78% of its field
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, 0 citations in OpenAlex.

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

5 authors at 3 institutions in 1 country.

Weng Ieong TouSchool of Medicine, College of Medicine, China Medical University, Taichung, 40402, Taiwan.
Kun-Lung ChangDepartment of Bioinformatics and Medical Engineering, Asia University, Taichung, 41354, Taiwan.
Tung-Ti ChangSchool of Post-Baccalaureate Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.
Cheng-Chun LeeSchool of Medicine, College of Medicine, China Medical University, Taichung, 40402, Taiwan.
Calvin Yu-Chian ChenSchool of Medicine, College of Medicine, China Medical University, Taichung, 40402, Taiwan. ycc929@MIT.EDU.
China Medical University · TWAsia University · TWChina Medical University Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point mutations H274Y and N294S can lead to resistance of influenza virus strains to some drug molecules. Recently, a large number of experiments has focused on the many frameworks and catalytic residues thought to prevent the efficacy of anti-flu drugs. In the past, most research has considered the role of drugs in rigid proteins rather than in flexible proteins. In this study, we used molecular dynamics simulation (MD) combined with structure- and ligand-based drug design (SBDD and LBDD) methods to study dynamic interaction and protein dynamics correlation statistics between compounds and both the framework and catalytic residues in influenza virus N1 strains. Drug candidates were screened using the IC50 of the docking result predicted by support vector machine, multiple linear regression, and genetic function approximation (P < 0.001). As shown by MD, saussureamine C and diiodotyrosine have a protein dynamics correlation similar to that of sialic acid, and both can participate in hydrogen bond formation with loop, framework, and catalytic residues. Our in silico findings suggest that saussureamine C can inhibit H274Y and N294S mutants, and that diiodotyrosine can also inhibit N294S mutants. Therefore, the drugs saussureamine C and diiodotyrosine have the potential to produce inhibitory effects on wild-type influenza virus and some N1 mutants.

Indexed as

Molecular Docking SimulationAntiviral AgentsInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H5N1 SubtypeInfluenza A Virus, H7N1 SubtypeSialic AcidsAntiviral AgentsSialic AcidsDrug discoveryH1N1H5N1H7N1Traditional Chinese medicine

Identifiers

PMID26645808
OpenAlexW2411557465

What OpenQuestion holds

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Registered trials

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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.