Computational resources and chemoinformatics for translational health research
Copyright © 2024. Published by Elsevier Inc..
The integration of computational resources and chemoinformatics has revolutionized translational health research. It has offered a powerful set of tools for accelerating drug discovery. This chapter overviews the computational resources and chemoinformatics methods used in translational health research. The resources and methods can be used to analyze large datasets, identify potential drug candidates, predict drug-target interactions, and optimize treatment regimens. These resources have the potential to transform the drug discovery process and foster personalized medicine research. We discuss insights into their various applications in translational health and emphasize the need for addressing challenges, promoting collaboration, and advancing the field to fully realize the potential of these tools in transforming healthcare.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2024 |
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Erschienen: |
2024 |
Enthalten in: |
Zur Gesamtaufnahme - volume:139 |
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Enthalten in: |
Advances in protein chemistry and structural biology - 139(2024) vom: 12., Seite 27-55 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Tripathi, Tripti [VerfasserIn] |
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Links: |
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Anmerkungen: |
Date Completed 08.03.2024 Date Revised 08.03.2024 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/bs.apcsb.2023.11.003 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM369378997 |
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520 | |a The integration of computational resources and chemoinformatics has revolutionized translational health research. It has offered a powerful set of tools for accelerating drug discovery. This chapter overviews the computational resources and chemoinformatics methods used in translational health research. The resources and methods can be used to analyze large datasets, identify potential drug candidates, predict drug-target interactions, and optimize treatment regimens. These resources have the potential to transform the drug discovery process and foster personalized medicine research. We discuss insights into their various applications in translational health and emphasize the need for addressing challenges, promoting collaboration, and advancing the field to fully realize the potential of these tools in transforming healthcare | ||
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