Literature DB >> 18839074

The interactome: predicting the protein-protein interactions in cells.

Dariusz Plewczyński1, Krzysztof Ginalski.   

Abstract

The term Interactome describes the set of all molecular interactions in cells, especially in the context of protein-protein interactions. These interactions are crucial for most cellular processes, so the full representation of the interaction repertoire is needed to understand the cell molecular machinery at the system biology level. In this short review, we compare various methods for predicting protein-protein interactions using sequence and structure information. The ultimate goal of those approaches is to present the complete methodology for the automatic selection of interaction partners using their amino acid sequences and/or three dimensional structures, if known. Apart from a description of each method, details of the software or web interface needed for high throughput prediction on the whole genome scale are also provided. The proposed validation of the theoretical methods using experimental data would be a better assessment of their accuracy.

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Year:  2008        PMID: 18839074      PMCID: PMC6275871          DOI: 10.2478/s11658-008-0024-7

Source DB:  PubMed          Journal:  Cell Mol Biol Lett        ISSN: 1425-8153            Impact factor:   5.787


  164 in total

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Journal:  J Mol Biol       Date:  2002-11-15       Impact factor: 5.469

2.  Structural characterisation and functional significance of transient protein-protein interactions.

Authors:  Irene M A Nooren; Janet M Thornton
Journal:  J Mol Biol       Date:  2003-01-31       Impact factor: 5.469

3.  Prediction of protein secondary structure based on residue pairs.

Authors:  Xin Liu; Li-Mei Zhang; Wei-Mou Zheng
Journal:  J Bioinform Comput Biol       Date:  2004-06       Impact factor: 1.122

4.  Structure-based assembly of protein complexes in yeast.

Authors:  Patrick Aloy; Bettina Böttcher; Hugo Ceulemans; Christina Leutwein; Christian Mellwig; Susanne Fischer; Anne-Claude Gavin; Peer Bork; Giulio Superti-Furga; Luis Serrano; Robert B Russell
Journal:  Science       Date:  2004-03-26       Impact factor: 47.728

5.  Assessing different classification methods for virtual screening.

Authors:  Dariusz Plewczynski; Stéphane A H Spieser; Uwe Koch
Journal:  J Chem Inf Model       Date:  2006 May-Jun       Impact factor: 4.956

6.  Mitochondria-associated satellite I RNA binds to hnRNP K protein.

Authors:  Karolina Klimek-Tomczak; Michał Mikula; Artur Dzwonek; Agnieszka Paziewska; Lucjan S Wyrwicz; Ewa E Hennig; Jerzy Ostrowski
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8.  Identification of protein complexes by comparative analysis of yeast and bacterial protein interaction data.

Authors:  Roded Sharan; Trey Ideker; Brian Kelley; Ron Shamir; Richard M Karp
Journal:  J Comput Biol       Date:  2005 Jul-Aug       Impact factor: 1.479

9.  PRISM: protein interactions by structural matching.

Authors:  Utkan Ogmen; Ozlem Keskin; A Selim Aytuna; Ruth Nussinov; Attila Gursoy
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

Review 10.  Regulation of bacterial protease activity.

Authors:  Benedykt Władyka; Katarzyna Pustelny
Journal:  Cell Mol Biol Lett       Date:  2008-04-10       Impact factor: 5.787

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  13 in total

Review 1.  Interactome networks and human disease.

Authors:  Marc Vidal; Michael E Cusick; Albert-László Barabási
Journal:  Cell       Date:  2011-03-18       Impact factor: 41.582

2.  Integrating Structural Information to Study the Dynamics of Protein-Protein Interactions in Cells.

Authors:  Bo Wang; Zhong-Ru Xie; Jiawen Chen; Yinghao Wu
Journal:  Structure       Date:  2018-08-30       Impact factor: 5.006

3.  PRIN: a predicted rice interactome network.

Authors:  Haibin Gu; Pengcheng Zhu; Yinming Jiao; Yijun Meng; Ming Chen
Journal:  BMC Bioinformatics       Date:  2011-05-16       Impact factor: 3.169

4.  Computer applications for prediction of protein-protein interactions and rational drug design.

Authors:  Solène Grosdidier; Max Totrov; Juan Fernández-Recio
Journal:  Adv Appl Bioinform Chem       Date:  2009-11-10

5.  Decomposing the space of protein quaternary structures with the interface fragment pair library.

Authors:  Zhong-Ru Xie; Jiawen Chen; Yilin Zhao; Yinghao Wu
Journal:  BMC Bioinformatics       Date:  2015-01-16       Impact factor: 3.169

6.  A computational interactome and functional annotation for the human proteome.

Authors:  José Ignacio Garzón; Lei Deng; Diana Murray; Sagi Shapira; Donald Petrey; Barry Honig
Journal:  Elife       Date:  2016-10-22       Impact factor: 8.140

7.  Predicting Protein-protein Association Rates using Coarse-grained Simulation and Machine Learning.

Authors:  Zhong-Ru Xie; Jiawen Chen; Yinghao Wu
Journal:  Sci Rep       Date:  2017-04-18       Impact factor: 4.379

8.  Using Coarse-Grained Simulations to Characterize the Mechanisms of Protein-Protein Association.

Authors:  Kalyani Dhusia; Zhaoqian Su; Yinghao Wu
Journal:  Biomolecules       Date:  2020-07-15

9.  TCF 4 tumor suppressor: a molecular target in the prognosis of sporadic colorectal cancer in humans.

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Journal:  Cell Mol Biol Lett       Date:  2020-03-31       Impact factor: 5.787

Review 10.  Regulatory role of local tissue signal Del-1 in cancer and inflammation: a review.

Authors:  Meng Li; Di Zhong; Guozhong Li
Journal:  Cell Mol Biol Lett       Date:  2021-07-03       Impact factor: 5.787

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