Journal of Medicinal Chemistry
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Journal Highlights
Medicinal Chemistry of Natural Products
Chiral Drug Synthesis and Stereochemistry
Covalent Inhibitors and Irreversible Drugs
Prodrug Strategies and Design
Radiopharmaceutical Chemistry
Nanotechnology in Drug Development
Chemical Biology Tools in Target Discovery
Drug Repurposing Repositioning
Drug Receptor Interactions
Ligand Based Drug Design
Structure Based Drug Design
Combinatorial Chemistry
Pharmacophores
Lipinskis Rule of Five and Drug Likeness
Isosterism and Bioisosterism
Click Chemistry in Drug Discovery
Asymmetric Synthesis in Drug Development
Biologics and Monoclonal Antibodies
RNA Based Therapeutics
Proteolysis Targeting Chimeras
Green Chemistry in Medicinal Chemistry
Chemoinformatics and Machine Learning
In Vitro and In Vivo Pharmacology
Animal Models in Drug Testing
Transporters in Drug Delivery
Neuropharmacology and Neurochemistry
Chiral Drug Synthesis and Stereochemistry
Covalent Inhibitors and Irreversible Drugs
Prodrug Strategies and Design
Radiopharmaceutical Chemistry
Nanotechnology in Drug Development
Chemical Biology Tools in Target Discovery
Drug Repurposing Repositioning
Drug Receptor Interactions
Ligand Based Drug Design
Structure Based Drug Design
Combinatorial Chemistry
Pharmacophores
Lipinskis Rule of Five and Drug Likeness
Isosterism and Bioisosterism
Click Chemistry in Drug Discovery
Asymmetric Synthesis in Drug Development
Biologics and Monoclonal Antibodies
RNA Based Therapeutics
Proteolysis Targeting Chimeras
Green Chemistry in Medicinal Chemistry
Chemoinformatics and Machine Learning
In Vitro and In Vivo Pharmacology
Animal Models in Drug Testing
Transporters in Drug Delivery
Neuropharmacology and Neurochemistry
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Chemoinformatics and Machine Learning
Chemoinformatics utilizes computational methods to examine chemical data and forecast the properties of compounds. Machine learning enhances this by discovering patterns and making data-driven predictions. Applications include virtual screening, toxicity prediction, and de novo drug design. These tools accelerate decision-making and reduce experimental burden. Integration with AI is transforming drug discovery pipelines.