{
  "id": 99034,
  "title": "Amazing visualization with py3Dmol",
  "url": "/competitions/champs-scalar-coupling/discussion/99034",
  "author_name": "",
  "post_date": "2019-07-08T11:46:16.290968100Z",
  "votes": 4,
  "comment_count": 3,
  "views": 0,
  "content": "<p>In my kernel I show how to create 3d visualization using py3Dmol, moreover you will see how it is possible to use aditional data such as potential energy using DeepChem library.\nPlease, don´t forget to upvote if you like it. \n<a href=\"https://www.kaggle.com/gtteixeira/deepchem-using-additional-data-for-train-and-test\">https://www.kaggle.com/gtteixeira/deepchem-using-additional-data-for-train-and-test</a></p>",
  "messages": [
    {
      "id": "570507",
      "postDate": "07/08/2019 11:46:16",
      "content": "<p>In my kernel I show how to create 3d visualization using py3Dmol, moreover you will see how it is possible to use aditional data such as potential energy using DeepChem library.\nPlease, don´t forget to upvote if you like it. \n<a href=\"https://www.kaggle.com/gtteixeira/deepchem-using-additional-data-for-train-and-test\">https://www.kaggle.com/gtteixeira/deepchem-using-additional-data-for-train-and-test</a></p>",
      "rawMarkdown": "In my kernel I show how to create 3d visualization using py3Dmol, moreover you will see how it is possible to use aditional data such as potential energy using DeepChem library.\nPlease, don´t forget to upvote if you like it. \nhttps://www.kaggle.com/gtteixeira/deepchem-using-additional-data-for-train-and-test",
      "votes": null
    },
    {
      "id": "570550",
      "postDate": "07/08/2019 12:48:45",
      "content": "<p>Thanks sharing good kernel!</p>",
      "rawMarkdown": "Thanks sharing good kernel!",
      "votes": null
    },
    {
      "id": "570643",
      "postDate": "07/08/2019 15:16:32",
      "content": "<p>Are you able to add atom indexes to the 3d representation?</p>",
      "rawMarkdown": "Are you able to add atom indexes to the 3d representation?",
      "votes": null
    },
    {
      "id": "570679",
      "postDate": "07/08/2019 16:11:46",
      "content": "<p>I am not sure, but I will check the documentation.</p>",
      "rawMarkdown": "I am not sure, but I will check the documentation.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 570550,
      "author_name": "snakayama",
      "author_url": "",
      "post_date": "07/08/2019 12:48:45",
      "content": "<p>Thanks sharing good kernel!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 570643,
      "author_name": "petersk20",
      "author_url": "",
      "post_date": "07/08/2019 15:16:32",
      "content": "<p>Are you able to add atom indexes to the 3d representation?</p>",
      "votes": null,
      "replies": [
        {
          "id": 570679,
          "author_name": "gtteixeira",
          "author_url": "",
          "post_date": "07/08/2019 16:11:46",
          "content": "<p>I am not sure, but I will check the documentation.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "570507": "In my kernel I show how to create 3d visualization using py3Dmol, moreover you will see how it is possible to use aditional data such as potential energy using DeepChem library.\nPlease, don´t forget to upvote if you like it. \nhttps://www.kaggle.com/gtteixeira/deepchem-using-additional-data-for-train-and-test",
    "570550": "Thanks sharing good kernel!",
    "570643": "Are you able to add atom indexes to the 3d representation?",
    "570679": "I am not sure, but I will check the documentation."
  },
  "source": "meta"
}