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Anti-Infective Agents
Title:Withdrawal Notice: COVID-19: Outbreak to Global
Volume: 18
Author(s): Deepika Paliwal*, Shoaib Khan and Anindita Chaki
Affiliation:
- Department of Pharmacy, School of Medical & Allied Sciences, Galgotias University, Greater Noida,India
Abstract: The article for the journal Anti-Infective Agents has been removed by the Publisher due to acute language inconsistencies and grammatical errors.
Bentham Science apologizes to the readers of the journal for any inconvenience this may cause.
The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php
BENTHAM SCIENCE DISCLAIMER:
It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.
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Cite this article as:
Paliwal Deepika *, Khan Shoaib and Chaki Anindita , Withdrawal Notice: COVID-19: Outbreak to Global, Anti-Infective Agents 2020; 18 () . https://dx.doi.org/10.2174/2211352518999201006113056
DOI https://dx.doi.org/10.2174/2211352518999201006113056 |
Print ISSN 2211-3525 |
Publisher Name Bentham Science Publisher |
Online ISSN 2211-3533 |
Call for Papers in Thematic Issues
An Overview of Drugs for Multiple Targets and Variants of SARS-CoV-2 Through Artificial Intelligence, Machine Learning, Deep Learning, and Experimental Analysis
The emergence and rapid evolution of SARS-CoV-2 variants have posed significant challenges in the ongoing fight against the COVID-19 pandemic. The development of effective treatments for multiple viral targets and variants demands innovative approaches, including artificial intelligence (AI), machine learning (ML), and deep learning (DL) techniques. This special issue aims ...read more
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