{"title":"A Review on Molecular Docking As an Interpretative Tool for Molecular Targets in Disease Management.","authors":"Divya Sahu, Lokendra Singh Rathor, Shradha Devi Dwivedi, Kamal Shah, Nagendra Singh Chauhan, Manju Rawat Singh, Deependra Singh","doi":"10.1089/adt.2023.060","DOIUrl":null,"url":null,"abstract":"<p><p>One of the most often utilized methods for drug discovery is molecular docking. With docking, one may discover new therapeutically relevant molecules by targeting the molecule and predicting the target-ligand interactions as well as different conformation of ligand at various positions. The prediction signifies the effectiveness of the molecule or the developed molecule having different affinity with target. Drug discovery plays an important role in the development of a new drug molecule of different moiety attached to it, which leads us in the management of several diseases. <i>In silico</i> approach led us to identification of numerous diseases caused by virus, fungi, bacteria, protozoa, and other microorganisms that affect human health. By means of computational approach, we can categorize disease symptoms and use the drugs available for such types of warning signs. After the docking process, molecular dynamics computational technique helps in the simulation of the physical movement of atoms and molecules for a fixed period of time, giving a view of the dynamic evaluation of the system. This review is an attempt to illustrate the role of molecular docking in drug development.</p>","PeriodicalId":8586,"journal":{"name":"Assay and drug development technologies","volume":"22 1","pages":"40-50"},"PeriodicalIF":1.6000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Assay and drug development technologies","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/adt.2023.060","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
One of the most often utilized methods for drug discovery is molecular docking. With docking, one may discover new therapeutically relevant molecules by targeting the molecule and predicting the target-ligand interactions as well as different conformation of ligand at various positions. The prediction signifies the effectiveness of the molecule or the developed molecule having different affinity with target. Drug discovery plays an important role in the development of a new drug molecule of different moiety attached to it, which leads us in the management of several diseases. In silico approach led us to identification of numerous diseases caused by virus, fungi, bacteria, protozoa, and other microorganisms that affect human health. By means of computational approach, we can categorize disease symptoms and use the drugs available for such types of warning signs. After the docking process, molecular dynamics computational technique helps in the simulation of the physical movement of atoms and molecules for a fixed period of time, giving a view of the dynamic evaluation of the system. This review is an attempt to illustrate the role of molecular docking in drug development.
期刊介绍:
ASSAY and Drug Development Technologies provides access to novel techniques and robust tools that enable critical advances in early-stage screening. This research published in the Journal leads to important therapeutics and platforms for drug discovery and development. This reputable peer-reviewed journal features original papers application-oriented technology reviews, topical issues on novel and burgeoning areas of research, and reports in methodology and technology application.
ASSAY and Drug Development Technologies coverage includes:
-Assay design, target development, and high-throughput technologies-
Hit to Lead optimization and medicinal chemistry through preclinical candidate selection-
Lab automation, sample management, bioinformatics, data mining, virtual screening, and data analysis-
Approaches to assays configured for gene families, inherited, and infectious diseases-
Assays and strategies for adapting model organisms to drug discovery-
The use of stem cells as models of disease-
Translation of phenotypic outputs to target identification-
Exploration and mechanistic studies of the technical basis for assay and screening artifacts