Open AccessPattern Recognition: Sequential Double “Clicks” toward Structurally Well‐Defined Heterogeneous N ‐Glycoclusters: The Importance of Cluster Heterogeneity on Pattern Recognition In Vivo (Adv. Sci. 2/2017)
Author(s) -
Latypova Liliya,
Sibgatullina Regina,
Ogura Akihiro,
Fujiki Katsumasa,
Khabibrakhmanova Alsu,
Tahara Tsuyoshi,
Nozaki Satoshi,
Urano Sayaka,
Tsubokura Kazuki,
Onoe Hirotaka,
Watanabe Yasuyoshi,
Kurbangalieva Almira,
Tanaka Katsunori
Publication year - 2017
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.201770006
Subject(s) - glycan , cluster (spacecraft) , sugar , chemistry , molecular recognition , in vivo , molecule , computer science , computational biology , nanotechnology , biological system , pattern recognition (psychology) , biochemistry , artificial intelligence , glycoprotein , materials science , biology , organic chemistry , microbiology and biotechnology , programming language
In article number 1600394, Almira Kurbangalieva, Katsunori Tanaka, and co‐workers at the RIKEN Biofunctional Synthetic Chemistry Laboratory develop a way to engineer glycan complexes—heterogeneous clusters of sugar chains attached to proteins or lipids—in a way that allows the molecules to be transported preferentially to specific organs of the body through pattern recognition mechanisms, depending on the sugar chains contained in the cluster.