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

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:139

Enthalten in:

Advances in protein chemistry and structural biology - 139(2024) vom: 12., Seite 27-55

Sprache:

Englisch

Beteiligte Personen:

Tripathi, Tripti [VerfasserIn]
Singh, Dev Bukhsh [VerfasserIn]
Tripathi, Timir [VerfasserIn]

Links:

Volltext

Themen:

Data mining
Databases
Drug discovery
Journal Article
Lead optimization
Machine learning
Molecular docking
Molecular dynamics simulation
Network analysis
Personalized medicine
Pharmacophore modelling
QSAR modelling
Virtual screening

Anmerkungen:

Date Completed 08.03.2024

Date Revised 08.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/bs.apcsb.2023.11.003

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM369378997