This journal focuses on computational approaches in drug discovery and development. It publishes research utilizing machine learning, deep learning, and various in-silico methods like molecular docking, molecular dynamics simulations, and quantitative structure-activity relationship (QSAR) analysis. The scope includes identifying potential drug candidates, predicting their efficacy and properties, understanding mechanisms of action for both synthetic and natural compounds, and exploring drug repositioning for various diseases.
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Drug DiscoveryMedicine (miscellaneous)Molecular Medicine
Research Topics (OpenAlex)
Computational Drug Discovery MethodsSynthesis and biological activityDiverse Scientific Research StudiesMachine Learning in BioinformaticsCholinesterase and Neurodegenerative DiseasesCancer Research and TreatmentClick Chemistry and Applicationsvaccines and immunoinformatics approachesBioinformatics and Genomic NetworksAnalytical Chemistry and Chromatography