[{"data":1,"prerenderedAt":256},["ShallowReactive",2],{"blog-post-mara-and-jupyter-notebook-integration":3,"blog-posts-slugs":22},{"data":4,"meta":18},[5],{"id":6,"attributes":7},31,{"title":8,"content":9,"createdAt":10,"updatedAt":11,"publishedAt":12,"date":13,"description":14,"keywords":15,"slug":16,"category":17},"MARA and Jupyter Notebook Integration","\u003Ca href=\"https:\u002F\u002Fnanome.ai\u002Fmara\">\u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002F1_b3eadafe77.png\" style=\"max-width:100%; height:auto;\" class=\"center\">\u003C\u002Fa>\n\nWe are thrilled to announce a major new feature for our users: you can now harness the power of MARA directly within Jupyter Notebooks! This integration opens up exciting possibilities for users who want to leverage Jupyter's interactive environment while calling MARA to enhance data exploration, automation, and computational workflows.\n\n\n\n## What are Jupyter Notebooks?\n\nJupyter Notebooks have become a staple in data science, machine learning, and academic research due to their flexibility and interactive nature. At their core, Jupyter notebooks are an interactive computational environment that allows users to execute code, visualize outputs, and iterate on that code until they achieve their desired results.\n\n\n## MARA Installation Process for Jupyter Notebooks\n\n\n### Installation of python package\n\nThe first thing to do is to install the python package necessary. This can be done by following the GIF below.\n\n\u003Ca href=\"https:\u002F\u002Fmara.nanome.ai\">\u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002Fpip_install_c76a7cf9c2.gif\" style=\"max-width:100%; height:auto;\" class=\"center\">\u003C\u002Fa>\n\n### Obtain your API key\n\nNext you need to obtain your API key so you can securely call MARA through the Jupyter notebook. This can be done by following the steps below, or watch the GIF to see how to do it.\n\n\u003Ca href=\"https:\u002F\u002Fmara.nanome.ai\">\u003Cimg src=\"https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002Fget_api_key_blurred_ca7ab5098b.gif\" style=\"max-width:100%; height:auto;\" class=\"center\">\u003C\u002Fa>\n\nGo to MARA main page\n\n\n* Click on the user name on the lower left corner\n* Go to Settings\n* Switch to System Tab\n* Click on Create from the API Keys field\n* Obtain API key\n\n\n### Run Commands in jupyter notebook\n\n\u003Ca href=\"https:\u002F\u002Fmara.nanome.ai\">\u003Cimg src=\"\" style=\"max-width:100%; height:auto;\" class=\"center\">\u003C\u002Fa>[Jupyter notebook.gif](https:\u002F\u002Fnanome-cms.s3.us-west-1.amazonaws.com\u002FJupyter_notebook_8481ea6756.gif)\n\n\n## Why Use MARA with Jupyter?\n\nIntegrating MARA with Jupyter Notebooks elevates your data workflow in several ways:\n\nSeamless Integration - You no longer need to switch between environments or interfaces to run complex MARA tasks.\n\nEnhanced Productivity - MARA takes over repetitive and computationally heavy processes, allowing you to focus on the insights and decisions that matter most.\n\nInteractive Exploration - Jupyter’s notebook format allows you to tweak and rerun your code while MARA handles the backend processes, giving you immediate feedback and flexibility.\n\nCollaboration and Sharing - Jupyter notebooks are a fantastic tool for collaboration. Your team can work together, see the code, the commands you’ve executed, and the results—all in one place.\n\nWant to try this for yourself? Sign up [here](mara.nanome.ai) and receive 50 free credits!\n","2024-10-10T15:16:45.971Z","2026-03-24T17:53:27.682Z","2024-10-21T23:08:18.568Z","2024-10-21","We’re excited to announce the integration of MARA within Jupyter Notebooks, allowing users to enhance data exploration, automation, and computational workflows seamlessly. Jupyter Notebooks provide an interactive environment for coding and visualization, now with MARA's powerful backend processes. This integration boosts productivity, streamlines tasks, and enhances collaboration. Ready to try it? Sign up and get 50 free credits!","MARA, Update, Public Beta, Jupyter, Jupyter Notebook, Nanome, scientific informatics, computational chemistry, cheminformatics, drug discovery, drug hunter, molecular design, structural biology, user feedback, customizable tools, scientific workflows, molecular dynamics, molecular docking, scientific computing, data democratization, scientific research tools, beta testing, secure deployments, virtual research environment, chemistry software, biology software, data analysis tools, AI in science, enterprise scientific platform, VR in science, lead optimization, target identification, pharmacophore modeling, QSAR, ADMET, drug design, medicinal 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