Predictions to Benchmark AlphaFold2 for Small Linear Motifs (SLiM) prediction - PART3/5

AlphaFold2 models from the publication entitled "A simple workflow to identify novel Small Linear Motif (SLiM)-mediated interactions with AlphaFold". ! This is the part3/5. You need all five parts in the same folder for proper unzip. If you are Windows or Mac users, you will need unziping app such as "7zip" or "The unarchiver" respectively. You should unzip the .zip file with .z0i present within the same location. This archive includes AlphaFold2 Multimer v3 predictions for the 242 SLiM-partner from ELM_dataset and noPDB_dataset. Each prediction is separated in a unique folder. Each folder contains five .pdb structures and their associated .json score files, as well as the .a3m multiple sequence alignment file. Additionally, it contains .pickle files required for minD.本数据集源自题为《利用AlphaFold鉴定新型小线性基序（Small Linear Motif, SLiM）介导相互作用的简易工作流》的公开研究中的AlphaFold2模型。 注意：本文件为第3/5分卷。需将全部5个分卷置于同一文件夹内，方可完成正确解压。Windows用户需使用"7zip"等解压工具，Mac用户则需使用"The Unarchiver"等专用解压软件。请在与该压缩包内的.z0i文件相同的路径下，对该.zip压缩包进行解压操作。 本归档文件包含针对ELM数据集（ELM_dataset）与无PDB数据集（noPDB_dataset）中242个SLiM互作蛋白的AlphaFold2 Multimer v3预测结果。每条预测结果均单独存储于一个专属文件夹中。每个文件夹内包含5个.pdb格式三维结构文件、对应的.json格式评分文件，以及.a3m格式多序列比对文件。此外，该文件夹中还包含minD运行所需的.pickle格式文件。