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Updated: Apr 11, 2026

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LigandForge: A Web Server for Structure-Guided De Novo Drug Design.

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    LigandForge is a new webserver for de novo drug design, making structure-guided ligand generation accessible. It simplifies creating novel drug candidates without specialized programming skills or high costs.

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    Area of Science:

    • Computational chemistry
    • Drug discovery
    • Bioinformatics

    Background:

    • De novo drug design is complex, requiring specialized expertise and incurring high costs.
    • Existing computational methods often lack accessibility for researchers without programming backgrounds.

    Purpose of the Study:

    • To present LigandForge, a user-friendly webserver for structure-guided de novo ligand generation.
    • To overcome barriers of cost and technical expertise in computational drug discovery.

    Main Methods:

    • Utilizes a structure-guided framework for assembling molecules from fragment libraries.
    • Incorporates voxel-based property grids for spatial mapping of molecular properties.
    • Employs reinforcement learning and genetic algorithms for lead optimization and refinement.

    Main Results:

    • LigandForge integrates structural validation, binding-site characterization, and retrosynthetic feasibility analysis.
    • Generated ligands adhere to physicochemical constraints like molecular weight and LogP.
    • The platform provides real-time 3D visualization and synthesis-aware environment.

    Conclusions:

    • LigandForge democratizes de novo drug design by offering a web-based, accessible platform.
    • It effectively bridges the gap between structural data and experimentally feasible lead compounds.
    • The tool eliminates the need for local software installation, enhancing usability.