On the role of aromatic-sugar interactions in the molecular recognition of carbohydrates:: A 3D view by using NMR

被引：23
|
作者：
Dolores Diaz, M. [1 ]
del Carmen Fernandez-Alonso, Maria [1 ]
Cuevas, Gabriel [2 ]
Javier Canada, F. [1 ]
Jimenez-Barbero, Jesus [1 ]
机构：
[1] CSIC, Biol Res Ctr, E-28040 Madrid, Spain
[2] Univ Nacl Autonoma Mexico, Inst Chem, Mexico City 04510, DF, Mexico
来源：
PURE AND APPLIED CHEMISTRY | 2008年 / 80卷 / 08期
关键词：
NMR; molecular recognition; interactions; carbohydrates; aromatics;
D O I：
10.1351/pac200880081827
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
This revision describes an up-to-date review of our efforts to investigate the interaction of carbohydrates with aromatic moieties at different levels of complexity. Protein-Sugar interactions have been studied using NMR experiments oil a variety of hevein/chitooligosaccharide systems. In addition, NMR and computational methods have also been used to evaluate the interaction of simple aromatic entities with simple monosaccharides. In between, the stacking features of aromatic-containing -glycomolecules have also been described by using an analogous experimental-theoretical approach.
引用
收藏
页码：1827 / 1835
页数：9
相关论文
共 50 条
  • [31] View-based weight network for 3D object recognition
    Huang, Qiang
    Wang, Yongxiong
    Yin, Zhong
    IMAGE AND VISION COMPUTING, 2020, 93 (93)
  • [32] An Improved 3D Shape Recognition Method Based on Panoramic View
    Zheng, Qiang
    Sun, Jian
    Zhang, Le
    Chen, Wei
    Fan, Huanhuan
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
  • [33] 3D object recognition: A model of view-tuned neurons
    Bricolo, E
    Poggio, T
    Logothetis, N
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 9: PROCEEDINGS OF THE 1996 CONFERENCE, 1997, 9 : 41 - 47
  • [34] Learning Relationships for Multi-View 3D Object Recognition
    Yang, Ze
    Wang, Liwei
    2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019, : 7504 - 7513
  • [35] 3D Structural View of Pathogen Recognition by Mammalian Lectin Receptors
    Manabe, Noriyoshi
    Yamaguchi, Yoshiki
    FRONTIERS IN MOLECULAR BIOSCIENCES, 2021, 8
  • [36] 3D Shape Classification Using a Single View
    Ding, Bo
    Tang, Lei
    Gao, Zheng
    He, Yongjun
    IEEE ACCESS, 2020, 8 : 200812 - 200822
  • [37] View-invariant gesture recognition using 3D optical flow and harmonic motion context
    Holte, M. B.
    Moeslund, T. B.
    Fihl, P.
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2010, 114 (12) : 1353 - 1361
  • [38] Emotion Recognition from 3D Images with Non-Frontal View Using Geometric Approach
    KrishnaSri, D.
    Suja, P.
    Tripathi, Shikha
    ADVANCES IN SIGNAL PROCESSING AND INTELLIGENT RECOGNITION SYSTEMS (SIRS-2015), 2016, 425 : 63 - 73
  • [39] View-based virtual learning and recognition of 3D object using view model obtained by motion-stereo
    Wang, Caihua
    Sakaue, Katsuhiko
    2000, Ohmsha Ltd, Tokyo, Japan (18)
  • [40] View-based virtual learning and recognition of 3D object using view model obtained by motion-stereo
    Wang, CH
    Sakaue, K
    NEW GENERATION COMPUTING, 2000, 18 (02) : 127 - 135
12345