Literature DB >> 24043392

Common recognition principles across diverse sequence and structural families of sialic acid binding proteins.

Raghu Bhagavat1, Nagasuma Chandra.   

Abstract

Sialic acids form a large family of 9-carbon monosaccharides and are integral components of glycoconjugates. They are known to bind to a wide range of receptors belonging to diverse sequence families and fold classes and are key mediators in a plethora of cellular processes. Thus, it is of great interest to understand the features that give rise to such a recognition capability. Structural analyses using a non-redundant data set of known sialic acid binding proteins was carried out, which included exhaustive binding site comparisons and site alignments using in-house algorithms, followed by clustering and tree computation, which has led to derivation of sialic acid recognition principles. Although the proteins in the data set belong to several sequence and structure families, their binding sites could be grouped into only six types. Structural comparison of the binding sites indicates that all sites contain one or more different combinations of key structural features over a common scaffold. The six binding site types thus serve as structural motifs for recognizing sialic acid. Scanning the motifs against a non-redundant set of binding sites from PDB indicated the motifs to be specific for sialic acid recognition. Knowledge of determinants obtained from this study will be useful for detecting function in unknown proteins. As an example analysis, a genome-wide scan for the motifs in structures of Mycobacterium tuberculosis proteome identified 17 hits that contain combinations of the features, suggesting a possible function of sialic acid binding by these proteins.

Entities:  

Keywords:  binding site signature; ligand binding; sialic acid recognition; structural bioinformatics; structural motifs

Mesh:

Substances:

Year:  2013        PMID: 24043392     DOI: 10.1093/glycob/cwt063

Source DB:  PubMed          Journal:  Glycobiology        ISSN: 0959-6658            Impact factor:   4.313


  2 in total

1.  A genome-wide structure-based survey of nucleotide binding proteins in M. tuberculosis.

Authors:  Raghu Bhagavat; Heung-Bok Kim; Chang-Yub Kim; Thomas C Terwilliger; Dolly Mehta; Narayanaswamy Srinivasan; Nagasuma Chandra
Journal:  Sci Rep       Date:  2017-10-02       Impact factor: 4.379

2.  Metabolomic changes in Mycobacterium avium subsp. paratuberculosis (MAP) challenged Holstein-Friesian cattle highlight the role of serum amino acids as indicators of immune system activation.

Authors:  Emma N Taylor; Manfred Beckmann; Bryan K Markey; Stephen V Gordon; Glyn Hewinson; David Rooke; Luis A J Mur
Journal:  Metabolomics       Date:  2022-03-23       Impact factor: 4.747

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.