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Article
Peer-Review Record

Based on the Virtual Screening of Multiple Pharmacophores, Docking and Molecular Dynamics Simulation Approaches toward the Discovery of Novel HPPD Inhibitors

Int. J. Mol. Sci. 2020, 21(15), 5546; https://doi.org/10.3390/ijms21155546
by Ying Fu 1, Tong Ye 1, Yong-Xuan Liu 1, Jian Wang 2,* and Fei Ye 1,*
Reviewer 1: Anonymous
Reviewer 2:
Int. J. Mol. Sci. 2020, 21(15), 5546; https://doi.org/10.3390/ijms21155546
Submission received: 11 July 2020 / Accepted: 31 July 2020 / Published: 3 August 2020
(This article belongs to the Section Molecular Informatics)

Round 1

Reviewer 1 Report

A reasonable and hierarchical virtual screening process was successfully
constructed to identify potential HPPD inhibitors.

Interesting study and new simulation/virtual methods to be applied also for other future studies were indicated

The ZINC and Natural Product 17 database were virtually screened and 29 compounds were obtained.

Some recommendations to the authors

-The introduction could be improved indicating also other references for similar studies for discovering novel inhibitors.

-The quality of figure 2 needs to be improved

 

Reviewer 2 Report

Dear Editor,

Enclosed please find the comments on the following manuscript:

Manuscript ID: ijms-880112

Type of manuscript: Article

Title: Based on the virtual screening of multiple pharmacophores, docking and molecular dynamics simulation approaches toward the discovery of novel HPPD inhibitors

This article report on multiple structure-based pharmacophore models for HPPD inhibitors and screened Natural Product database for 29 candidates.

The authors made a powerful Pharmacophore model for hit lead compounds in medicinal chemistry.

This is an interesting research to discovery novel green herbicides with highly efficient, eco-friendly, low toxicity to crop.

If authors add the control group of drugs, it will be more helpful to the pharmaceutical industry.

 

 

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