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dc.contributor.authorAGARWAL, ANURAG-
dc.date.accessioned2023-07-11T05:47:58Z-
dc.date.available2023-07-11T05:47:58Z-
dc.date.issued2023-05-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/19988-
dc.description.abstractThe rapid advancement of bioinformatics tools and resources has revolutionized the field of drug design, enabling more efficient and targeted drug discovery. However, with the plethora of available tools, it becomes crucial to perform a comparative analysis, identify gaps, and optimize the various steps involved in the drug design pipeline. In this project, we propose to conduct a comprehensive investigation into the existing bioinformatics tools and techniques used at each stage of the drug design pipeline. The project aims to compare different tools for target identification, validation, characterization, virtual screening, hit selection and validation, hit-to-lead optimization, lead optimization, preclinical testing, clinical trials, regulatory approval, and market entry. Through systematic comparative analysis, we will evaluate the performance, features, and limitations of these tools. Furthermore, the project will focus on identifying gaps and areas of improvement within the bioinformatics pipeline for drug design. By analyzing the strengths and weaknesses of existing tools, we will pinpoint areas that require optimization, additional tool development, or integration of multiple tools to enhance efficiency, accuracy, and reliability. Based on the identified gaps, we will develop strategies for optimization, including the implementation of advanced algorithms, incorporation of machine learning approaches, and the integration of multiple data sources. We will also explore opportunities for developing novel tools or improving existing ones to address the identified shortcomings. 5 The project's outcomes will provide valuable insights into the bioinformatics pipeline for drug design, enabling researchers and bioinformaticians to make informed decisions about tool selection and workflow optimization. The optimized pipeline will facilitate more efficient drug discovery and expedite the development of novel therapeutic interventions for various diseases.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD-6526;-
dc.subjectGAP ANALYSISen_US
dc.subjectDRUG DISCOVERY TOOLSen_US
dc.subjectSYSTEMATIC EVALUATIONen_US
dc.subjectENHANCED EFFICIENCYen_US
dc.subjectBIOINFORMATICIANSen_US
dc.titleCOMPARATIVE ANALYSIS, GAP ANALYSIS AND OPTIMIZATION OF DRUG DISCOVERY TOOLS: A SYSTEMATIC EVALUATION FOR ENHANCED EFFICIENCYen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Bio Tech

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