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Published:
蛋白质数据的表征,是解决当前生物医学问题的一大关键,比较好的方法是从优秀的语言模型汲取灵感,以构建类似的生信模型,这些模型最近已经在序列-结构-功能
关系提取上获得了很大的成功。这篇论文对蛋白质表征学习做了深入的调研,分类并解释每一种方法,依次在如下预测目标中对他们进行评估:
Published:
The geometric vector perceptron
is a simple module for learning vector-valued and scalar-valued functions over geometric vectors and scalars. GVP-GNN can be applied to any problem where the input domain is a structure of a single macromolecule or of molecules bound to one another.
Published:
Computational Protein Design(CPD)
has produced impressive results for engineering new proteins, resulting in a wide variety of applications. In this blog, the whole pipeline and mainstream methods of CPD will be concluded.