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Knowledge-transfer learning for prediction of matrix metalloprotease substrate-cleavage sites

Matrix Metalloproteases (MMPs) are an important family of proteases that play crucial roles in key cellular and disease processes. Therefore, MMPs constitute important targets for drug design, development and delivery. Advanced proteomic technologies have identified type-specific target substrates;...

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Bibliografiska uppgifter
I publikationen:Sci Rep
Huvudupphovsmän: Wang, Yanan, Song, Jiangning, Marquez-Lago, Tatiana T., Leier, André, Li, Chen, Lithgow, Trevor, Webb, Geoffrey I., Shen, Hong-Bin
Materialtyp: Artigo
Språk:Inglês
Publicerad: Nature Publishing Group UK 2017
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5515926/
https://ncbi.nlm.nih.gov/pubmed/28720874
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-06219-7
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