Literature DB >> 16218946

Identifying remote protein homologs by network propagation.

William S Noble1, Rui Kuang, Christina Leslie, Jason Weston.   

Abstract

Perhaps the most widely used applications of bioinformatics are tools such as psi-blast for searching sequence databases. We describe a recently developed protein database search algorithm called rankprop. rankprop relies upon a precomputed network of pairwise protein similarities. The algorithm performs a diffusion operation from a specified query protein across the protein similarity network. The resulting activation scores, assigned to each database protein, encode information about the global structure of the protein similarity network. This type of algorithm has a rich history in associationist psychology, artificial intelligence and web search. We describe the rankprop algorithm and its relatives, and we provide evidence that the algorithm successfully improves upon the rankings produced by psi-blast.

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Year:  2005        PMID: 16218946     DOI: 10.1111/j.1742-4658.2005.04947.x

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  11 in total

1.  Improving the quality of protein similarity network clustering algorithms using the network edge weight distribution.

Authors:  Leonard Apeltsin; John H Morris; Patricia C Babbitt; Thomas E Ferrin
Journal:  Bioinformatics       Date:  2010-11-29       Impact factor: 6.937

Review 2.  Network propagation: a universal amplifier of genetic associations.

Authors:  Lenore Cowen; Trey Ideker; Benjamin J Raphael; Roded Sharan
Journal:  Nat Rev Genet       Date:  2017-06-12       Impact factor: 53.242

3.  Protein remote homology detection by combining Chou's distance-pair pseudo amino acid composition and principal component analysis.

Authors:  Bin Liu; Junjie Chen; Xiaolong Wang
Journal:  Mol Genet Genomics       Date:  2015-04-21       Impact factor: 3.291

4.  Elastic network modeling of cellular networks unveils sensor and effector genes that control information flow.

Authors:  Omer Acar; She Zhang; Ivet Bahar; Anne-Ruxandra Carvunis
Journal:  PLoS Comput Biol       Date:  2022-05-31       Impact factor: 4.779

5.  Physicochemical property distributions for accurate and rapid pairwise protein homology detection.

Authors:  Bobbie-Jo M Webb-Robertson; Kyle G Ratuiste; Christopher S Oehmen
Journal:  BMC Bioinformatics       Date:  2010-03-19       Impact factor: 3.169

6.  Using amino acid physicochemical distance transformation for fast protein remote homology detection.

Authors:  Bin Liu; Xiaolong Wang; Qingcai Chen; Qiwen Dong; Xun Lan
Journal:  PLoS One       Date:  2012-09-28       Impact factor: 3.240

7.  Using distances between Top-n-gram and residue pairs for protein remote homology detection.

Authors:  Bin Liu; Jinghao Xu; Quan Zou; Ruifeng Xu; Xiaolong Wang; Qingcai Chen
Journal:  BMC Bioinformatics       Date:  2014-01-24       Impact factor: 3.169

8.  Modeling aspects of the language of life through transfer-learning protein sequences.

Authors:  Michael Heinzinger; Ahmed Elnaggar; Yu Wang; Christian Dallago; Dmitrii Nechaev; Florian Matthes; Burkhard Rost
Journal:  BMC Bioinformatics       Date:  2019-12-17       Impact factor: 3.169

9.  A discriminative method for protein remote homology detection and fold recognition combining Top-n-grams and latent semantic analysis.

Authors:  Bin Liu; Xiaolong Wang; Lei Lin; Qiwen Dong; Xuan Wang
Journal:  BMC Bioinformatics       Date:  2008-12-01       Impact factor: 3.169

Review 10.  A pluralistic account of homology: adapting the models to the data.

Authors:  Leanne S Haggerty; Pierre-Alain Jachiet; William P Hanage; David A Fitzpatrick; Philippe Lopez; Mary J O'Connell; Davide Pisani; Mark Wilkinson; Eric Bapteste; James O McInerney
Journal:  Mol Biol Evol       Date:  2013-11-22       Impact factor: 16.240

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