Evidence map›Paper›PMID 30539048›Full record

ArticleVirusdisease2018

Implications of protein conformations to modifying novel inhibitor Oseltamivir for 2009 H1N1 influenza A virus by simulation and docking studies.

Sudha Singh, Anvita Gupta Malhotra, Mohit Jha, Khushhali Menaria Pandey

Open access · hybridAbstract read
In one paragraph

Article in Virusdisease, 2018. 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
0.2field-weighted citation impact, top 44% 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, 1 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

4 authors at 1 institution in 1 country.

Sudha SinghDepartment of Biological Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
Anvita Gupta MalhotraDepartment of Biological Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
Mohit JhaDepartment of Biological Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
Khushhali Menaria PandeyDepartment of Biological Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India.
Maulana Azad National Institute of Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently three FDA approved existing drugs, namely-Oseltamivir, Peramivir and Zanamivir, used against Neuraminidase (NA) for the inhibitory effect on the process of viral progeny release to inhibit infection. All NA subtypes has been divided into two groups (Group 1 and Group 2) based on phylogenetic study. Oseltamivir and Zanamivir drugs are designed for Group 2 NA but are also used against 2009 H1N1 NA that lies in Group 1. There is no specific drug available for H1N1 and, consequently, there is an urgent requirement for the same. The structure-based drug design and fragment-based drug design methods are used for building more effective and economic drug molecules. In this work, the fragment-based drug development followed by fragment evolution on the basis of protein conformations after every 10 ns of 100 ns simulation. There are two analogs of Oseltamivir acid drug discovered in this study. Only analog 1, along with Oseltamivir acid, were then docked with the native protein. The analog 1 (benzoic acid inhibitor 11) exhibited higher binding affinity value of - 10.70 kcal/mol in comparison to its predecessor. The concept of conformations and protein-ligand interactions can be useful in designing new drugs for H1N1 with high specific binding.

Indexed as

2009 H1N1Computer-aided drug designDrug designNeuraminidase

Identifiers

PMID30539048
PMCPMC6261900
OpenAlexW2889078607

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.