The journal focuses on computational approaches to molecular analysis and design, particularly in the context of drug discovery and chemical space exploration. This includes the development and application of machine learning models for predicting molecular properties, generating novel molecules, and understanding drug-target interactions. Analysis of chemical space, molecular representations, and synthesis pathways are also key areas.
Drug DiscoveryComputer Science ApplicationsStructural BiologyOrganic ChemistryMolecular Medicine
Research Topics (OpenAlex)
Computational Drug Discovery MethodsMachine Learning in Materials ScienceProtein Structure and DynamicsGenetics, Bioinformatics, and Biomedical ResearchClick Chemistry and ApplicationsMetabolomics and Mass Spectrometry StudiesChemistry and Chemical EngineeringAnalytical Chemistry and ChromatographyReceptor Mechanisms and SignalingBioinformatics and Genomic Networks