Literature DB >> 33442529

Molecular docking studies of gyrase inhibitors: weighing earlier screening bedrock.

H S Santosh Kumar1, S Ravi Kumar1, N Naveen Kumar1, S Ajith1.   

Abstract

For any antimicrobial assay, a standard drug is used to compare the bactericidal efficiency of the bioactive compound under screening. The standard drugs have different targets that may be intracellular or membrane located. The location of the target is believed to be determining the bioactivity of the drug depending on the drug's access to its target. Therefore, different drugs must have a different magnitude in exhibiting the biological effect. However, in most of the published literature about the screening of bioactive compounds on antimicrobial activity, generally, the standard drug is randomly chosen while comparing against the bioactive compound of interest. Further, the antimicrobial activity is inferred by comparing the randomly chosen standard drugs without knowing the physicochemical parameters of the standard drug and the test molecule. It is just like an unfair comparison of the impact of a bullet with the impact of an explosive in a combat scene. Computer-based strategies for structure-based drug discovery presents a valuable alternative to the costly and time-consuming process of random screening. The docking studies provide better insights into the binding mechanism of substrate and inhibitor at the molecular level. The evaluation of such a comparison of bioactive compounds against randomly selected standard drugs through a customized virtual screening pipeline showed 57% false positives, 18% true positive, 17% true negative, 8% false-negative results. This study directs for mandatory cheminformatics-based assessment of the bioactive compounds before choosing the standard drug to compare with. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40203-020-00064-9.
© The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021.

Entities:  

Keywords:  Antibiotics; Cheminformatics; DNA gyrase inhibitors; Molecular docking

Year:  2021        PMID: 33442529      PMCID: PMC7775855          DOI: 10.1007/s40203-020-00064-9

Source DB:  PubMed          Journal:  In Silico Pharmacol        ISSN: 2193-9616


  17 in total

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Review 9.  Current Screening Methodologies in Drug Discovery for Selected Human Diseases.

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  1 in total

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