Literature DB >> 18004762

Binding similarity network of ligand.

Keunwan Park1, Dongsup Kim.   

Abstract

The protein and ligand interaction takes an important part in protein function. Both ligand and its binding site are essential components for understanding how the protein-ligand complex functions. Until now, there have been many studies about protein function and evolution, but they usually lacked ligand information. Accordingly, in this study, we tried to answer the following questions: how much ligand and binding site are associated with protein function, and how ligands themselves are related to each other in terms of binding site. To answer the questions, we presented binding similarity network of ligand. Through the network analysis, we attempted to reveal systematic relationship between the ligand and binding site. The results showed that ligand binding site and function were closely related (conservation ratio, 81%). We also showed conservative tendency of function in line with ligand structure similarity with some exceptional cases. In addition, the binding similarity network of ligand revealed scale-free property to some degree like other biological networks. Since most nodes formed highly connected cluster, a clustering coefficient was very high compared with random. All the highly connected ligands (hubs) were involved in various functions forming large cluster and tended to act as a bridge between modular clusters in the network.

Mesh:

Substances:

Year:  2008        PMID: 18004762     DOI: 10.1002/prot.21780

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  17 in total

Review 1.  Application of NMR and molecular docking in structure-based drug discovery.

Authors:  Jaime L Stark; Robert Powers
Journal:  Top Curr Chem       Date:  2012

Review 2.  Predicting monoamine oxidase inhibitory activity through ligand-based models.

Authors:  Santiago Vilar; Giulio Ferino; Elias Quezada; Lourdes Santana; Carol Friedman
Journal:  Curr Top Med Chem       Date:  2012       Impact factor: 3.295

Review 3.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

4.  Ligand binding site detection by local structure alignment and its performance complementarity.

Authors:  Hui Sun Lee; Wonpil Im
Journal:  J Chem Inf Model       Date:  2013-09-04       Impact factor: 4.956

5.  Searching the protein structure database for ligand-binding site similarities using CPASS v.2.

Authors:  Robert Powers; Jennifer C Copeland; Jaime L Stark; Adam Caprez; Ashu Guru; David Swanson
Journal:  BMC Res Notes       Date:  2011-01-26

6.  Target fishing for chemical compounds using target-ligand activity data and ranking based methods.

Authors:  Nikil Wale; George Karypis
Journal:  J Chem Inf Model       Date:  2009-10       Impact factor: 4.956

7.  Protein surface characterization using an invariant descriptor.

Authors:  Zainab Abu Deeb; Donald A Adjeroh; Bing-Hua Jiang
Journal:  Int J Biomed Imaging       Date:  2011-11-22

8.  Structural and functional similarity between the bacterial type III secretion system needle protein PrgI and the eukaryotic apoptosis Bcl-2 proteins.

Authors:  Matthew D Shortridge; Robert Powers
Journal:  PLoS One       Date:  2009-10-13       Impact factor: 3.240

Review 9.  Drug-therapy networks and the prediction of novel drug targets.

Authors:  Zoltan Spiro; Istvan A Kovacs; Peter Csermely
Journal:  J Biol       Date:  2008-07-31

10.  Novel phytochemical-antibiotic conjugates as multitarget inhibitors of Pseudomononas aeruginosa GyrB/ParE and DHFR.

Authors:  Premkumar Jayaraman; Kishore R Sakharkar; ChuSing Lim; Mohammad Imran Siddiqi; Sarinder K Dhillon; Meena K Sakharkar
Journal:  Drug Des Devel Ther       Date:  2013-06-17       Impact factor: 4.162

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.