update reproduce/AlphaFold2-Chinese/AlphaFold2中文版蛋白质预测模型使用指南(基于Deepmind与Mindspore开源框架).ipynb.

reproduce/AlphaFold2-Chinese/AlphaFold2中文版蛋白质预测模型使用指南(基于Deepmind与Mindspore开源框架).ipynb

@@ -35,7 +35,7 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/sokrypton/ColabFold/blob/main/AlphaFold2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/sokrypton/ColabFold/blob/main/AlphaFold2.ipynb\" target=\"_parent\"></a>"
       ]
     },
     {
@@ -44,8 +44,6 @@
         "id": "G4yBrceuFbf3"
       },
       "source": [
-        "<img src=\"https://raw.githubusercontent.com/sokrypton/ColabFold/main/.github/ColabFold_Marv_Logo_Small.png\" height=\"200\" align=\"right\" style=\"height:240px\">\n",
-        "\n",
         "##AlphaFold2_CN: AlphaFold2 with MMseqs2\n",
         "\n",
         "简单的中文版蛋白质结构预测操作指南（中文版），基于[AlphaFold2](https://www.nature.com/articles/s41586-021-03819-2)和[Alphafold2-multimer](https://www.biorxiv.org/content/10.1101/2021.10.04.463034v1). 序列比对方式基于[MMseqs2](mmseqs.com)和[HHsearch](https://github.com/soedinglab/hh-suite)."