<i>In-silico</i> prediction, characterization, molecular docking and dynamic simulation studies for screening potential fungicides against leaf rust of <i>Triticum aestivum</i>-Reference-Cited by-同舟云学术

In-silico prediction, characterization, molecular docking and dynamic simulation studies for screening potential fungicides against leaf rust of Triticum aestivum

Published:2023-09-05 Issue: Volume: Page:1-13
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Gosavi Gokul¹,Jade Dhananjay²^ORCID,Ponnambalam Sreenivasan³,Harrison Michael A.²,Zhou Huanbin¹

Affiliation:

1. State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China

2. School of Biomedical Sciences, University of Leeds, Leeds, United Kingdom

3. School of Molecular & Cellular Biology, University of Leeds, Leeds, United Kingdom

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2023.2254410

Reference47 articles.

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4. ChemBioServer: a web-based pipeline for filtering, clustering and visualization of chemical compounds used in drug discovery

5. Quantitative estimation of pesticide-likeness for agrochemical discovery

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