five

RefSeq virus protein structure prediction database

收藏
DataCite Commons2025-03-19 更新2025-04-17 收录
下载链接:
https://uvaauas.figshare.com/articles/dataset/RefSeq_virus_protein_structure_prediction_database/28417079/1
下载链接
链接失效反馈
官方服务:
资源简介:
# Custom Virus database A custom foldseek target database was created, including all protein sequences derived from plant-infecting viruses currently found in the NCBI RefSeq database. In total, 8,191 protein sequences were extracted and used as template for protein structure predictions. Colabfold v1.5.2 (using localcolabfold), which is based upon AlphaFold v2.3.1(40), was used for protein model prediction. Setting: --random-seed 101 --num-seeds 3 --use-dropout --num-models 1 --num-recycle 8 --recycle-early-stop-tolerance 0.5No templates were used during the protein model prediction. The uniref30_2302 and colabfold_envdb_202108 databases were used to generate the multiple sequence alignments (https://colabfold.mmseqs.com/)The predicted structures were filtered based on the pLDDT value, resulting in a set of 7545 protein structures with a pLDDT ≥ 50.<br>## Filesmodelling_stats.txt &lt; Tab seperated file containing the modelling statistics for each structure predictionpdb_files/all &lt; folder containing all pdb files resulting from the structure predictionpdb_files/pLDDT50 &lt; folder containing all pdb files resulting from the structure prediction having a pLDDT score of 50 or higherVIRAL_PROTEIN_PLANT_REFSEQ.fasta &lt; fasta file contain all protein sequences extracted from plant infecting viral genomes uploaded in the NCBI RefSeq database
提供机构:
University of Amsterdam / Amsterdam University of Applied Sciences
创建时间:
2025-03-19
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作