VESPAl Prediction of the human proteome (downloaded 22/01/17)
收藏NIAID Data Ecosystem2026-03-13 收录
数据链接：
官方服务：
资源简介：
VESPAl Prediction of the human proteome (downloaded 22/01/17) generated with https://github.com/Rostlab/VESPA. For details on VESPAl see Marquet, C., Heinzinger, M., Olenyi, T. et al. Embeddings from protein language models predict conservation and variant effects. Hum Genet (2021). https://doi.org/10.1007/s00439-021-02411-y 3 proteins (Q8WZ42,Q8WXI7,Q8NF91) of the human proteome were too long to generate ProtT5 embeddings (Elnaggar et al. 2021). VESPAl predictions are therefore available for 20357 proteins.
创建时间：
2022-01-26
