Literature DB >> 24375430

Importance of ligand conformational energies in carbohydrate docking: Sorting the wheat from the chaff.

Anita K Nivedha1, Spandana Makeneni, Bethany Lachele Foley, Matthew B Tessier, Robert J Woods.   

Abstract

Docking algorithms that aim to be applicable to a broad range of ligands suffer reduced accuracy because they are unable to incorporate ligand-specific conformational energies. Here, we develop a set of Carbohydrate Intrinsic (CHI) energy functions that quantify the conformational properties of oligosaccharides, based on the values of their glycosidic torsion angles. The relative energies predicted by the CHI energy functions mirror the conformational distributions of glycosidic linkages determined from a survey of oligosaccharide-protein complexes in the protein data bank. Addition of CHI energies to the standard docking scores in Autodock 3, 4.2, and Vina consistently improves pose ranking of oligosaccharides docked to a set of anticarbohydrate antibodies. The CHI energy functions are also independent of docking algorithm, and with minor modifications, may be incorporated into both theoretical modeling methods, and experimental NMR or X-ray structure refinement programs.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  antibody; autodock vina; carbohydrate; docking; energy function

Mesh:

Substances:

Year:  2013        PMID: 24375430      PMCID: PMC3936473          DOI: 10.1002/jcc.23517

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  59 in total

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Review 4.  Tumor-associated carbohydrate antigens.

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Review 5.  Computational glycoscience: characterizing the spatial and temporal properties of glycans and glycan-protein complexes.

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Review 10.  Biological roles of oligosaccharides: all of the theories are correct.

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  33 in total

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3.  Combining 3D structure with glycan array data provides insight into the origin of glycan specificity.

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Journal:  Glycobiology       Date:  2016-02-23       Impact factor: 4.313

Review 4.  Predicting the Structures of Glycans, Glycoproteins, and Their Complexes.

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7.  Stereoelectronic Effects Impact Glycan Recognition.

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8.  Incorporating Explicit Water Molecules and Ligand Conformation Stability in Machine-Learning Scoring Functions.

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9.  Recent H3N2 Viruses Have Evolved Specificity for Extended, Branched Human-type Receptors, Conferring Potential for Increased Avidity.

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10.  Vina-Carb: Improving Glycosidic Angles during Carbohydrate Docking.

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