VESPAl Prediction of the human proteome (downloaded 22/01/17)

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.

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	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
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	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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