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Yujuan Gao
Researcher at Peking University
Publications - 3
Citations - 58
Yujuan Gao is an academic researcher from Peking University. The author has contributed to research in topics: Protein structure prediction & CASP. The author has an hindex of 2, co-authored 3 publications receiving 42 citations. Previous affiliations of Yujuan Gao include Toyota Technological Institute at Chicago.
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RaptorX-Angle: real-value prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning
TL;DR: This study presents a novel method (named RaptorX-Angle) to predict real-valued angles by combining clustering and deep learning that outperforms the existing state-of-art method SPIDER2 in terms of Pearson Correlation Coefficient and Mean Absolute Error.
Posted Content
Real-value and confidence prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning
TL;DR: In this paper, the authors proposed RaptorX-Angle, which combines clustering and deep learning to predict real-valued angles of polypeptide dihedral angles.
Posted ContentDOI
Real-value and confidence prediction of protein backbone dihedral angles through a hybrid method of clustering and deep learning
TL;DR: RaptorX-Angle as discussed by the authors combines clustering and deep learning to predict real-valued angles, which can be used to narrow down the conformational space of the whole polypeptide chain significantly.