In the post-GPT era, Llama-Gram represents a promising advancement in AI-driven chemical drug discovery, grounded in the chemical principle that molecular structure determines properties. This folding
DrugGen is a database that collects AI models for de novo molecular generation based on specified target proteins. It provides a user-friendly platform for bioinformatics and pharmacology professional
In silico drug prioritization may be a promising and time-saving strategy to identify potential drugs, standing as a faster and more cost-effective approach than de novo approaches. In recent years, a
Assessing the antimicrobial Capacity of metal and metal oxide nanomaterials (IONPs, AgNPs, ZnONPs) using ZOI and MIC measurements by employing Machine learning tools.
