Literature DB >> 22650261

Protein-protein interactions: network analysis and applications in drug discovery.

Jennyfer Bultinck1, Sam Lievens, Jan Tavernier.   

Abstract

Physical interactions among proteins constitute the backbone of cellular function, making them an attractive source of therapeutic targets. Although the challenges associated with targeting protein-protein interactions (PPIs) -in particular with small molecules - are considerable, a growing number of functional PPI modulators is being reported and clinically evaluated. An essential starting point for PPI inhibitor screening or design projects is the generation of a detailed map of the human interactome and the interactions between human and pathogen proteins. Different routes to produce these biological networks are being combined, including literature curation and computational methods. Experimental approaches to map PPIs mainly rely on the yeast two-hybrid (Y2H) technology, which have recently shown to produce reliable protein networks. However, other genetic and biochemical methods will be essential to increase both coverage and resolution of current protein networks in order to increase their utility towards the identification of novel disease-related proteins and PPIs, and their potential use as therapeutic targets.

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Year:  2012        PMID: 22650261     DOI: 10.2174/138161212802651562

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  10 in total

Review 1.  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

2.  OWL-NETS: Transforming OWL Representations for Improved Network Inference.

Authors:  Tiffany J Callahan; William A Baumgartner; Michael Bada; Adrianne L Stefanski; Ignacio Tripodi; Elizabeth K White; Lawrence E Hunter
Journal:  Pac Symp Biocomput       Date:  2018

3.  DNA-protein π-interactions in nature: abundance, structure, composition and strength of contacts between aromatic amino acids and DNA nucleobases or deoxyribose sugar.

Authors:  Katie A Wilson; Jennifer L Kellie; Stacey D Wetmore
Journal:  Nucleic Acids Res       Date:  2014-04-17       Impact factor: 16.971

4.  Docking studies and network analyses reveal capacity of compounds from Kandelia rheedii to strengthen cellular immunity by interacting with host proteins during tuberculosis infection.

Authors:  Aubhishek Zaman
Journal:  Bioinformation       Date:  2012-10-31

5.  Research prioritization through prediction of future impact on biomedical science: a position paper on inference-analytics.

Authors:  Madhavi K Ganapathiraju; Naoki Orii
Journal:  Gigascience       Date:  2013-08-30       Impact factor: 6.524

6.  Drug Target Protein-Protein Interaction Networks: A Systematic Perspective.

Authors:  Yanghe Feng; Qi Wang; Tengjiao Wang
Journal:  Biomed Res Int       Date:  2017-06-11       Impact factor: 3.411

7.  A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machine.

Authors:  Qi Wang; YangHe Feng; JinCai Huang; TengJiao Wang; GuangQuan Cheng
Journal:  PLoS One       Date:  2017-04-28       Impact factor: 3.240

8.  Pangenome and immuno-proteomics analysis of Acinetobacter baumannii strains revealed the core peptide vaccine targets.

Authors:  Afreenish Hassan; Anam Naz; Ayesha Obaid; Rehan Zafar Paracha; Kanwal Naz; Faryal Mehwish Awan; Syed Aun Muhmmad; Hussnain Ahmed Janjua; Jamil Ahmad; Amjad Ali
Journal:  BMC Genomics       Date:  2016-09-15       Impact factor: 3.969

9.  Development of a robust cell-based high-throughput screening assay to identify targets of HIV-1 viral protein R dimerization.

Authors:  Courtney Zych; Alexander Domling; Velpandi Ayyavoo
Journal:  Drug Des Devel Ther       Date:  2013-05-24       Impact factor: 4.162

Review 10.  Systems Biology Approaches for Therapeutics Development Against COVID-19.

Authors:  Shweta Jaiswal; Mohit Kumar; Yogendra Singh; Pratyoosh Shukla
Journal:  Front Cell Infect Microbiol       Date:  2020-10-28       Impact factor: 5.293

  10 in total

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