Tag: cloud computing

  • Optimizing MegaDock with Fovus: $3.09 per 1,000 Antibody-Antigen Docking

    Optimizing MegaDock with Fovus: $3.09 per 1,000 Antibody-Antigen Docking

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    MegaDock Overview MegaDock 4.0 is a high-throughput protein-protein docking software designed for large-scale virtual screening applications. It employs a fast Fourier transform (FFT)–based docking method that allows it to leverage GPU acceleration, setting it apart from traditional CPU-based docking tools. This GPU utilization makes MegaDock well-suited for massive protein-protein docking workloads with its large-scale docking…

  • Achieving Cost-Efficient Boltz-1 Simulations on Fovus at $0.1 per Biomolecular Structure Prediction

    Achieving Cost-Efficient Boltz-1 Simulations on Fovus at $0.1 per Biomolecular Structure Prediction

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    Boltz-1 is a state-of-the-art open-source model that predicts biomolecular structures, including proteins, RNA, DNA, and other molecular interactions. Unlike its proprietary counterparts, it also supports modified residues, covalent ligands, and glycans, allowing for a broader range of applications. By conditioning predictions on specified interaction pockets or contacts, Boltz-1 offers a level of flexibility that makes…

  • Fovus Joins the AWS Partner Network 

    Fovus Joins the AWS Partner Network 

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    February 24, 2025 – Fovus announced today that they have joined the Amazon Web Services (AWS) Partner Network (APN). The APN is a global community of AWS Partners that leverage programs, expertise, and resources to build, market, and sell customer offerings.  Fovus is an AI-powered, serverless high-performance computing (HPC) platform delivering intelligent, scalable, and cost-efficient…

  • Case Study: Intelligently Running AlphaFold 3 on Fovus with an AI-Optimized HPC Strategy, Saving up to 67% Cost and 45% Time

    Case Study: Intelligently Running AlphaFold 3 on Fovus with an AI-Optimized HPC Strategy, Saving up to 67% Cost and 45% Time

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    AlphaFold 3 is a powerful AI-driven protein structure prediction tool developed by DeepMind. Building upon the success of its predecessors, AlphaFold 3 extends beyond protein folding and incorporates broader molecular modeling capabilities. It is widely used in computational biology to predict protein-protein interactions, drug discovery, and large-scale proteomics research. AlphaFold 3 is particularly valuable in…