WITHDRAWN: The Anti-inflammatory and Anti-arthritis Activity of Garcinia travancorica in a Rat Model: A Proof of Concept with Computational Studies

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Satish Kumar, Pratima Srivastava, Somdutt Mujwar, Sumeet Gupta
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引用次数: 0

Abstract

Since the authors are not responding to the editor’s requests to fulfill the editorial requirement, therefore, the article has been withdrawn.

Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused.

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.

撤消:在大鼠模型中,金盏花的抗炎和抗关节炎活性:计算研究的概念证明
由于作者没有回应编辑的要求来满足编辑的要求,因此,文章被撤回。边沁科学为由此造成的不便向本刊读者道歉。边沁文章撤回编辑政策可在https://benthamscience.com/editorial-policies-main.phpBentham科学免责声明中找到:投稿本期刊的稿件未发表,不会同时投稿或在其他地方发表,这是发表的条件。此外,在其他地方发表的任何数据、插图、结构或表格必须报告,并必须获得版权许可才能复制。抄袭是严格禁止的,通过提交文章发表,作者同意出版商有法律权利对作者采取适当的行动,如果发现抄袭或捏造信息。通过提交手稿,作者同意如果文章被接受出版,其文章的版权将转移给出版商。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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