Literature DB >> 19485380

Carbohydrate-binding proteins: Dissecting ligand structures through solvent environment occupancy.

Diego F Gauto1, Santiago Di Lella, Carlos M A Guardia, Darío A Estrin, Marcelo A Martí.   

Abstract

Formation of protein ligand complexes is a fundamental phenomenon in biochemistry. During the process, significant solvent reorganization is produced along the contact surface and many water molecules strongly bound to the protein's ligand binding site must be displaced. Both the thermodynamics and kinetics of this process are complex and a clear understanding at the microscopic level has been not achieved so far. Special attention has been paid to the structure of water molecules on carbohydrate recognition sites of various proteins, and many studies support the idea that displacement of these water molecules should have a crucial effect on the binding free energy. Molecular dynamics (MD) simulations in explicit water solvent is a very promising approach for this type of studies. Using MD simulations combined with statistical mechanics analysis, thermodynamic properties of these water molecules can be computed and analyzed in a comparative view. Using this idea, we developed a set of analysis tools to link solvation with ligand binding in a key carbohydrate binding protein, human galectin-1 (hGal-1). Specifically, we defined water sites (WS) in terms of the thermodynamic properties of water molecules strongly bound to protein surfaces. In the present work, we selected a group of proteins whose ligand bound complexes have been already structurally characterized in order to extend the analysis of the role of the surface associated water molecules in the ligand binding and recognition process. The selected proteins are concanavalin-A (Con-A), galectin-3 (Gal-3), cyclophilin-A (Cyp-A), and two modules CBM40 and CBM32 of the multimodular bacterial sialidase. Our results show that the probability of finding water molecules inside the WS, p(v), with respect to the bulk density is directly correlated to the likeliness of finding an hydroxyl group of the ligand in the protein-ligand complex. This information can be used to analyze in detail the solvation structure of the carbohydrate recognition domain (CRD) and its relation to the possible protein ligand complexes and suggests addition of OH-containing functional groups to displace water from high p(v) WS to enhance drugs, specially glycomimetic-drugs, protein affinity, and/or specificity.

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Year:  2009        PMID: 19485380     DOI: 10.1021/jp901196n

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  10 in total

1.  Structural insights into the recognition mechanism between an antitumor galectin AAL and the Thomsen-Friedenreich antigen.

Authors:  Lei Feng; Hui Sun; Ying Zhang; De-Feng Li; Da-Cheng Wang
Journal:  FASEB J       Date:  2010-06-07       Impact factor: 5.191

2.  Biased Docking for Protein-Ligand Pose Prediction.

Authors:  Juan Pablo Arcon; Adrián G Turjanski; Marcelo A Martí; Stefano Forli
Journal:  Methods Mol Biol       Date:  2021

3.  Initial recognition of a cellodextrin chain in the cellulose-binding tunnel may affect cellobiohydrolase directional specificity.

Authors:  Pavan K Ghattyvenkatakrishna; Emal M Alekozai; Gregg T Beckham; Roland Schulz; Michael F Crowley; Edward C Uberbacher; Xiaolin Cheng
Journal:  Biophys J       Date:  2013-02-19       Impact factor: 4.033

4.  Disaccharide binding to galectin-1: free energy calculations and molecular recognition mechanism.

Authors:  Ignacia Echeverria; L Mario Amzel
Journal:  Biophys J       Date:  2011-05-04       Impact factor: 4.033

5.  Crystal structures of the transcriptional repressor RolR reveals a novel recognition mechanism between inducer and regulator.

Authors:  De-Feng Li; Ning Zhang; Yan-Jie Hou; Yan Huang; Yonglin Hu; Ying Zhang; Shuang-Jiang Liu; Da-Cheng Wang
Journal:  PLoS One       Date:  2011-05-03       Impact factor: 3.240

Review 6.  Bioinformatics and molecular modeling in glycobiology.

Authors:  Martin Frank; Siegfried Schloissnig
Journal:  Cell Mol Life Sci       Date:  2010-04-04       Impact factor: 9.261

Review 7.  Recent advances in employing molecular modelling to determine the specificity of glycan-binding proteins.

Authors:  Oliver C Grant; Robert J Woods
Journal:  Curr Opin Struct Biol       Date:  2014-08-07       Impact factor: 6.809

8.  Combining molecular docking and molecular dynamics to predict the binding modes of flavonoid derivatives with the neuraminidase of the 2009 H1N1 influenza A virus.

Authors:  Shih-Jen Lu; Fok-Ching Chong
Journal:  Int J Mol Sci       Date:  2012-04-10       Impact factor: 6.208

9.  The carbohydrate-binding site in galectin-3 is preorganized to recognize a sugarlike framework of oxygens: ultra-high-resolution structures and water dynamics.

Authors:  Kadhirvel Saraboji; Maria Håkansson; Samuel Genheden; Carl Diehl; Johan Qvist; Ulrich Weininger; Ulf J Nilsson; Hakon Leffler; Ulf Ryde; Mikael Akke; Derek T Logan
Journal:  Biochemistry       Date:  2011-12-07       Impact factor: 3.162

Review 10.  The Structural Biology of Galectin-Ligand Recognition: Current Advances in Modeling Tools, Protein Engineering, and Inhibitor Design.

Authors:  Carlos P Modenutti; Juan I Blanco Capurro; Santiago Di Lella; Marcelo A Martí
Journal:  Front Chem       Date:  2019-12-03       Impact factor: 5.221

  10 in total

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