Literature DB >> 29155401

Reconstructing phylogenetic tree using a protein-protein interaction technique.

Shamita Malik1, Dolly Sharma2, Sunil Kumar Khatri3.   

Abstract

In this study, a novel substitution method for finding potential protein-protein interactions (PPIs) has been discussed. This newly designed method for analyzing PPI also aids in the comparison of evolutionary distances. The method deals with various data sets, and additionally performs measurable assessment to determine PPIs is introduced. PPIs are biologically relevant and aid in better conceptual framework of phylogenetic profiling. The newly designed framework gives vision to relate the topological properties of the system with evolutionary behavior of datasets. Firstly, this study found that the most conserved protein motifs exist at the roots of the system, whereas newer motifs with mutations have a tendency to dwell on the branches. In-depth functional analysis revealed that the most conserved motifs have high specificity for improved structural procedures and pathway engagements, which may help identify their formative parts in cells. In conclusion, this study demonstrates several important aspects for future studies focusing to enhance phylogenetic profiling systems. This study can also be used effectively to utilize such strategies to develop new biological insights which will further lead to understanding of disease mechanisms.

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Year:  2017        PMID: 29155401      PMCID: PMC8676049          DOI: 10.1049/iet-nbt.2016.0177

Source DB:  PubMed          Journal:  IET Nanobiotechnol        ISSN: 1751-8741            Impact factor:   1.847


  23 in total

Review 1.  In vivo cross-linking and immunoprecipitation for studying dynamic Protein:DNA associations in a chromatin environment.

Authors:  M H Kuo; C D Allis
Journal:  Methods       Date:  1999-11       Impact factor: 3.608

Review 2.  Protein interaction networks from yeast to human.

Authors:  Peer Bork; Lars J Jensen; Christian von Mering; Arun K Ramani; Insuk Lee; Edward M Marcotte
Journal:  Curr Opin Struct Biol       Date:  2004-06       Impact factor: 6.809

3.  Exact algorithms for planted motif problems.

Authors:  S Rajasekaran; S Balla; C-H Huang
Journal:  J Comput Biol       Date:  2005-10       Impact factor: 1.479

Review 4.  Computational methods for predicting protein-protein interactions.

Authors:  Sylvain Pitre; Md Alamgir; James R Green; Michel Dumontier; Frank Dehne; Ashkan Golshani
Journal:  Adv Biochem Eng Biotechnol       Date:  2008       Impact factor: 2.635

Review 5.  Identifying protein complexes and functional modules--from static PPI networks to dynamic PPI networks.

Authors:  Bolin Chen; Weiwei Fan; Juan Liu; Fang-Xiang Wu
Journal:  Brief Bioinform       Date:  2013-06-18       Impact factor: 11.622

6.  Clustal W and Clustal X version 2.0.

Authors:  M A Larkin; G Blackshields; N P Brown; R Chenna; P A McGettigan; H McWilliam; F Valentin; I M Wallace; A Wilm; R Lopez; J D Thompson; T J Gibson; D G Higgins
Journal:  Bioinformatics       Date:  2007-09-10       Impact factor: 6.937

7.  Discovering pathways by orienting edges in protein interaction networks.

Authors:  Anthony Gitter; Judith Klein-Seetharaman; Anupam Gupta; Ziv Bar-Joseph
Journal:  Nucleic Acids Res       Date:  2010-11-24       Impact factor: 16.971

8.  HIV protein sequence hotspots for crosstalk with host hub proteins.

Authors:  Mahdi Sarmady; William Dampier; Aydin Tozeren
Journal:  PLoS One       Date:  2011-08-15       Impact factor: 3.240

9.  Phylogenetic tree information aids supervised learning for predicting protein-protein interaction based on distance matrices.

Authors:  Roger A Craig; Li Liao
Journal:  BMC Bioinformatics       Date:  2007-01-09       Impact factor: 3.169

Review 10.  Protein-protein interaction detection: methods and analysis.

Authors:  V Srinivasa Rao; K Srinivas; G N Sujini; G N Sunand Kumar
Journal:  Int J Proteomics       Date:  2014-02-17
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  1 in total

Review 1.  Overview of methods for characterization and visualization of a protein-protein interaction network in a multi-omics integration context.

Authors:  Vivian Robin; Antoine Bodein; Marie-Pier Scott-Boyer; Mickaël Leclercq; Olivier Périn; Arnaud Droit
Journal:  Front Mol Biosci       Date:  2022-09-08
  1 in total

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