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Query: UNIPROT:Q9UIJ5 (
Rec
)
58,342
document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)
Amide
C-N bonds are thermodynamically stable and their fission, such as by hydrolysis and alcoholysis, is considered a long-challenging organic reaction. In general, stoichiometric chemical transformations of amides into the corresponding esters and acids require harsh conditions, such as strong acids/bases at a high reaction temperature. Accordingly, the development of catalytic reactions that cleave not only primary and secondary amides, but also tertiary amides in mild conditions, is in high demand. Herein, we surveyed typical stoichiometric transformations of amides, and highlight our recent achievements in the catalytic esterification of amides using scandium, manganese, and zinc catalysts, together with some recent catalyst systems using late-transition metal reported by other groups.
Chem
Rec
2020 Apr
PMID:Catalytic Cleavage of Amide C-N Bond: Scandium, Manganese, and Zinc Catalysts for Esterification of Amides. 3150 72
Current protocol of
Amide
Proton Transfer-weighted (APTw) imaging commonly starts with the acquisition of high-resolution T2-weighted (T
2
w) images followed by APTw imaging at particular geometry and locations (i.e. slice) determined by the acquired T
2
w images. Although many advanced MRI reconstruction methods have been proposed to accelerate MRI, existing methods for APTw MRI lacks the capability of taking advantage of structural information in the acquired T
2
w images for reconstruction. In this paper, we present a novel APTw image reconstruction framework that can accelerate APTw imaging by reconstructing APTw images directly from highly undersampled k-space data and corresponding T
2
w image at the same location. The proposed framework starts with a novel sparse representation-based slice matching algorithm that aims to find the matched T
2
w slice given only the undersampled APTw image. A Recurrent Feature Sharing Reconstruction network (RFS-Rec) is designed to utilize intermediate features extracted from the matched T
2
w image by a Convolutional Recurrent Neural Network (CRNN), so that the missing structural information can be incorporated into the undersampled APT raw image thus effectively improving the image quality of the reconstructed APTw image. We evaluate the proposed method on two real datasets consisting of brain data from rats and humans. Extensive experiments demonstrate that the proposed RFS-
Rec
approach can outperform the state-of-the-art methods.
...
PMID:Improving Amide Proton Transfer-Weighted MRI Reconstruction Using T2-Weighted Images. 3310 61
