Showing 6 open source projects for "model driven"

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  • 1
    BioNeMo

    BioNeMo

    BioNeMo Framework: For building and adapting AI models

    BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications.
    Downloads: 1 This Week
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  • 2
    Protenix

    Protenix

    A trainable PyTorch reproduction of AlphaFold 3

    Protenix is an open-source, trainable PyTorch reimplementation of AlphaFold 3, developed by ByteDance with the goal of democratizing high-accuracy protein structure prediction for computational biology and drug-discovery research. Protenix provides a complete pipeline for turning protein sequences (with optional MSA / sequence alignment) or structural inputs (e.g. PDB/CIF) into full 3D atomic-level structure predictions. It supports both “full” models and lightweight variants such as...
    Downloads: 1 This Week
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  • 3

    OncoIMPACT

    Cancer driver prediction via integrative omics

    OncoIMPACT is a model-driven approach to integrate omics profiles (genomics, transcriptomics etc.) and provides patient-specific cancer driver gene predictions.
    Downloads: 8 This Week
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  • 4
    ...The Subversion repository was abandoned. """ E-Cell System is an object-oriented software suite for modeling, simulation, and analysis of large scale complex systems such as biological cells. It allows many components driven by multiple algorithms with different timescales to coexist in a model.
    Downloads: 0 This Week
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  • 5
    MOLGENIS can be used to generate databases for life science experiments (micrroarray, mass spectrometry, genomics) having a web user interface, csv exchange format, and programmatic interfaces (web services, rest, and r-project). See NatRevGen 8.
    Downloads: 0 This Week
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  • 6
    scholar-sidekick-mcp

    scholar-sidekick-mcp

    Citations, exports & retraction checks for AI assistants (MCP)

    Scholar Sidekick MCP Server gives any MCP-capable AI assistant (Claude, ChatGPT, Cursor, Cline, Continue, and others) six citation tools. From any supported identifier - DOI, PMID, PMCID, ISBN, arXiv ID, ISSN, NASA ADS bibcode, or WHO IRIS URL - it can: - resolveIdentifier - return structured bibliographic metadata (CSL JSON) - formatCitation - format into 10,000+ CSL styles (Vancouver, APA, AMA, IEEE, CSE, or any CSL style ID) - exportCitation - export to BibTeX, RIS, CSL JSON,...
    Downloads: 0 This Week
    Last Update:
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