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

Abstract 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 sub...

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Autores principales: Yanan Wang, Jiangning Song, Tatiana T. Marquez-Lago, André Leier, Chen Li, Trevor Lithgow, Geoffrey I. Webb, Hong-Bin Shen
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/002cf20c31204fe68fab2fc87b963dab
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