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    Cheminformatics

    28 курсов
    Automating Design of Molecules via Retrieval Augmented Generative Language Models - Broad Institute Machine Learning in Drug Discovery Symposium 2023
    Broad Institute

    Automating Design of Molecules via Retrieval Augmented Generative Language Models - Broad Institute Machine Learning in Drug Discovery Symposium 2023

    Methods and Models for Chemical Toxicity Prediction - 2022
    School of Chemoinformatics in Latin America

    Methods and Models for Chemical Toxicity Prediction - 2022

    Cheminformatics-Driven Discovery of Hits for Neglected and Emerging Diseases - 2022
    School of Chemoinformatics in Latin America

    Cheminformatics-Driven Discovery of Hits for Neglected and Emerging Diseases - 2022

    Cheminformatics in Natural Product-Based Drug Discovery - 2022
    School of Chemoinformatics in Latin America

    Cheminformatics in Natural Product-Based Drug Discovery - 2022

    ICM 3D Ligand Editor - Ligand Docking, Editing and Optimization
    MolSoft Molecules in Silico

    ICM 3D Ligand Editor - Ligand Docking, Editing and Optimization

    Mining in the Ultra-Large Library SAVI with Molsoft Tools
    MolSoft Molecules in Silico

    Mining in the Ultra-Large Library SAVI with Molsoft Tools

    Applying Machine Learning on Drug Discovery Projects
    Broad Institute

    Applying Machine Learning on Drug Discovery Projects

    Methods for Computational Biology and Drug Discovery
    Materials Cloud

    Methods for Computational Biology and Drug Discovery

    Chemical Foundation Models for Drug Discovery
    MICDE University of Michigan

    Chemical Foundation Models for Drug Discovery

    Learning the Language of Chemistry
    MICDE University of Michigan

    Learning the Language of Chemistry

    Synthesizability and Molecular Synthesis - Day 3
    Valence Labs

    Synthesizability and Molecular Synthesis - Day 3

    Open-Source Initiatives and Benchmarking Efforts in Machine Learning for Drug Discovery - Day 5
    Valence Labs

    Open-Source Initiatives and Benchmarking Efforts in Machine Learning for Drug Discovery - Day 5

    Virtual Screening Techniques for Drug Discovery - Lab 1
    Valence Labs

    Virtual Screening Techniques for Drug Discovery - Lab 1

    Virtual Screening Explanation - Lab 1
    Valence Labs

    Virtual Screening Explanation - Lab 1

    Cell Morphology-Guided De Novo Hit Design by Conditioning GANs on Phenotypic Image Features
    Valence Labs

    Cell Morphology-Guided De Novo Hit Design by Conditioning GANs on Phenotypic Image Features

    Application of Machine Learning Approaches to the Generation of Organic Compounds and Properties Prediction
    Bogolyubov Institute for Theoretical Physics

    Application of Machine Learning Approaches to the Generation of Organic Compounds and Properties Prediction

    Creating Complex Scientific Workflows that Reach into the Real World - IPAM at UCLA
    Institute for Pure & Applied Mathematics (IPAM)

    Creating Complex Scientific Workflows that Reach into the Real World - IPAM at UCLA

    Open Challenges in AI for Molecular Design: Representation, Experimental Alignment, and Oracle Reliability
    Simons Institute

    Open Challenges in AI for Molecular Design: Representation, Experimental Alignment, and Oracle Reliability

    Lab 3 - De Novo Generation Explanation
    Valence Labs

    Lab 3 - De Novo Generation Explanation

    LLMs in Drug Discovery - Day 5
    Valence Labs

    LLMs in Drug Discovery - Day 5

    Harnessing Geometric ML for Molecular Design - Day 3
    Valence Labs

    Harnessing Geometric ML for Molecular Design - Day 3