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Meet Optimus, an open-source, blazing-fast chemical analyzer built for modern drug discovery, cheminformatics, and ADMET filtering. In this video, I walk through how Optimus works, how to install and run it, and what makes it special compared to traditional tools. What is Optimus? Optimus is a Python-based CLI app that filters molecular structures based on drug-likeness rules like Lipinski’s Rule of Five and Veber criteria. Whether you're analyzing ligands for docking or filtering a virtual screening library, Optimus makes your workflow faster, lighter, and smarter. Features Covered SMILES & SDF support Lipinski and Veber rule-based filtering Command-line interface for fast batch processing Lightweight dependencies Open-source on GitHub Ideal for: Computational chemists, bioinformaticians, pharmacologists, ML researchers in chemistry, and students in drug design. #Cheminformatics, #DrugDiscovery, #ADMET, #Python, #OpenSource, #MedicinalChemistry, #LipinskiRule, #VeberRule, #SMILES, #MolecularFiltering, #Bioinformatics, #Pharmacology, #AIinChemistry ============================================================= Welcome to Omixium! On this channel, we explore the frontiers of: • Bioinformatics & Computational Biology • AI in Drug Discovery & Molecular Design • Molecular Docking and Simulations • Bioinformatics Pipelines • AI coding in Bioinformatics • Vibe Coding in Bioinformatics (Claude, Gemini) • Single-cell RNA-seq & Multi-omics • Genomics, Transcriptomics, and Systems Biology • Next-Generation Sequencing (NGS) Tools & Tutorials New videos every week: tutorials, deep dives, case studies, and visual explainers for scientists, students, and curious minds. — #bioinformatics #AI #ML #proteindesigning #NGS #drugdesign #singlecell #Omixium #genomics #AIinBiology #computationalbiology #pipelines