Literature DB >> 20449063

Multivalent ligand presentation as a central concept to study intricate carbohydrate-protein interactions.

Narayanaswamy Jayaraman1.   

Abstract

Studying the weak binding affinities between carbohydrates and proteins has been a central theme in sustained efforts to uncover intricate details of this class of biomolecular interaction. The amphiphilic nature of most carbohydrates, the competing nature of the surrounding water molecules to a given protein receptor site and the receptor binding site characteristics led to the realization that carbohydrates are required to exert favorable interactions, primarily through clustering of the ligands. The clustering of sugar ligands has been augmented using many different innovative molecular scaffolds. The synthesis of clustered ligands also facilitates fine-tuning of the spatial and topological proximities between the ligands, so as to allow the identification of optimal molecular features for significant binding affinity enhancements. The kinetic and thermodynamic parameters have been delineated in many instances, thereby allowing an ability to correlate the multivalent presentation and the observed ligand-receptor interaction profiles. This critical review presents various multivalent ligands, synthetic and semisynthetic, and mechanisms by which the weak binding affinities are overcome, and the ligand-receptor complexation leads to significantly enhanced binding affinities (157 references).

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Year:  2009        PMID: 20449063     DOI: 10.1039/b815961k

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  31 in total

1.  The concept of spectral accuracy for MS.

Authors:  Yongdong Wang; Ming Gu
Journal:  Anal Chem       Date:  2010-09-01       Impact factor: 6.986

2.  Multivalent binding of concanavalin A on variable-density mannoside microarrays.

Authors:  Daniel J Valles; Yasir Naeem; Angelica Y Rozenfeld; Rawan W Aldasooky; Alexa M Wong; Carlos Carbonell; David R Mootoo; Adam B Braunschweig
Journal:  Faraday Discuss       Date:  2019-10-30       Impact factor: 4.008

Review 3.  Multivalent Antibody-Recruiting Macromolecules: Linking Increased Binding Affinity with Enhanced Innate Immune Killing.

Authors:  Annemiek Uvyn; Bruno G De Geest
Journal:  Chembiochem       Date:  2020-07-10       Impact factor: 3.164

4.  Multivalent glyconanoparticles with enhanced affinity to the anti-viral lectin Cyanovirin-N.

Authors:  Xin Wang; Elena Matei; Lingquan Deng; Olof Ramström; Angela M Gronenborn; Mingdi Yan
Journal:  Chem Commun (Camb)       Date:  2011-06-30       Impact factor: 6.222

5.  Design and synthesis of glycoprotein-based multivalent glyco-ligands for influenza hemagglutinin and human galectin-3.

Authors:  Helen Wang; Wei Huang; Jared Orwenyo; Aditi Banerjee; Gerardo R Vasta; Lai-Xi Wang
Journal:  Bioorg Med Chem       Date:  2013-01-23       Impact factor: 3.641

6.  An array-based method to identify multivalent inhibitors.

Authors:  Yalong Zhang; Qian Li; Luis G Rodriguez; Jeffrey C Gildersleeve
Journal:  J Am Chem Soc       Date:  2010-07-21       Impact factor: 15.419

7.  Oligovalent amyloid-binding agents reduce SEVI-mediated enhancement of HIV-1 infection.

Authors:  Christina C Capule; Caitlin Brown; Joanna S Olsen; Stephen Dewhurst; Jerry Yang
Journal:  J Am Chem Soc       Date:  2012-01-03       Impact factor: 15.419

8.  Sensing lectin-glycan interactions using lectin super-microarrays and glycans labeled with dye-doped silica nanoparticles.

Authors:  Xin Wang; Elena Matei; Lingquan Deng; Leonardus Koharudin; Angela M Gronenborn; Olof Ramström; Mingdi Yan
Journal:  Biosens Bioelectron       Date:  2013-03-21       Impact factor: 10.618

Review 9.  Glycopolymer probes of signal transduction.

Authors:  Laura L Kiessling; Joseph C Grim
Journal:  Chem Soc Rev       Date:  2013-04-18       Impact factor: 54.564

Review 10.  Glyconanomaterials for biosensing applications.

Authors:  Nanjing Hao; Kitjanit Neranon; Olof Ramström; Mingdi Yan
Journal:  Biosens Bioelectron       Date:  2015-07-15       Impact factor: 10.618

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