Literature DB >> 28847290

Protein-protein Interactions and their Role in Various Diseases and their Prediction Techniques.

Gulam Rabbani1, Mohammad Hassan Baig1, Khurshid Ahmad1, Inho Choi1.   

Abstract

Protein-protein interaction (PPI) is necessary for most of the biological processes and requisite for host-pathogen communication. Most of the threatening human diseases are caused by different types of interactions of proteins with their prior infected proteins or with pathogen's proteins. Understanding of involved mechanisms of interacting pairs, functional domains and characterizing specific molecular interaction of host and pathogen is critical. In this era of advanced research in medical and pharmaceutical sciences, the treatment of severe diseases is being tackled at genetic and PPI level. In this review, a brief introduction and application of PPI is described. Moreover, the classifications of PPI and their application in diseases are highlighted. Furthermore, methods for prediction of PPI are also discussed including brief introduction and update on detection techniques. We hope this review will prove to be very helpful for researchers to get better understanding and update on PPI. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Entities:  

Keywords:  Computation tools; disease; drug design; effector molecule; protein-protein interactions; structure.

Mesh:

Substances:

Year:  2018        PMID: 28847290     DOI: 10.2174/1389203718666170828122927

Source DB:  PubMed          Journal:  Curr Protein Pept Sci        ISSN: 1389-2037            Impact factor:   3.272


  10 in total

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Review 2.  HIV-Proteins-Associated CNS Neurotoxicity, Their Mediators, and Alternative Treatments.

Authors:  Adonira Saro; Zhaolin Gao; Piniel Alphayo Kambey; Paul Pielnaa; Dama Faniriantsoa Henrio Marcellin; Aixiang Luo; Ruping Zheng; Zhongjun Huang; Lvshuang Liao; Mingxuan Zhao; Liangpeng Suo; Shuang Lu; Min Li; Deyang Cai; Dan Chen; Haiyang Yu; Jufang Huang
Journal:  Cell Mol Neurobiol       Date:  2021-09-25       Impact factor: 4.231

3.  Screening differentially expressed genes between endometriosis and ovarian cancer to find new biomarkers for endometriosis.

Authors:  Zhenzhen Lu; Ying Gao
Journal:  Ann Med       Date:  2021-12       Impact factor: 4.709

4.  Structural investigation of APRs to improve the solubility of outer membrane protease (PgtE) from Salmonella enterica serotype typhi- A multi-constraint approach.

Authors:  Gopinath Samykannu; Princy Vijayababu; Christian Bharathi Antonyraj; Sundarabaalaji Narayanan
Journal:  Biochem Biophys Rep       Date:  2019-12-06

5.  Phosphorylation of eukaryotic initiation factor eIFiso4E enhances the binding rates to VPg of turnip mosaic virus.

Authors:  Mateen A Khan; Pankaj Kumar; Mohd Akif; Hiroshi Miyoshi
Journal:  PLoS One       Date:  2021-11-04       Impact factor: 3.240

6.  Applying Protein-Protein Interactions and Complex Networks to Identify Novel Genes in Retinitis Pigmentosa Pathogenesis.

Authors:  Su-Bin Yoon; Yu-Chien Calvin Ma; Akaash Venkat; Chun-Yu Audi Liu; Jie J Zheng
Journal:  Int J Mol Sci       Date:  2022-04-02       Impact factor: 6.208

Review 7.  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

Review 8.  Deep learning frameworks for protein-protein interaction prediction.

Authors:  Xiaotian Hu; Cong Feng; Tianyi Ling; Ming Chen
Journal:  Comput Struct Biotechnol J       Date:  2022-06-15       Impact factor: 6.155

9.  PPI-MASS: An Interactive Web Server to Identify Protein-Protein Interactions From Mass Spectrometry-Based Proteomics Data.

Authors:  Mariela González-Avendaño; Simón Zúñiga-Almonacid; Ian Silva; Boris Lavanderos; Felipe Robinson; Roberto Rosales-Rojas; Fabio Durán-Verdugo; Wendy González; Mónica Cáceres; Oscar Cerda; Ariela Vergara-Jaque
Journal:  Front Mol Biosci       Date:  2021-07-01

10.  Identification of hub genes and small-molecule compounds related to intracerebral hemorrhage with bioinformatics analysis.

Authors:  Zhendong Liu; Ruotian Zhang; Xin Chen; Penglei Yao; Tao Yan; Wenwu Liu; Jiawei Yao; Andrei Sokhatskii; Ilgiz Gareev; Shiguang Zhao
Journal:  PeerJ       Date:  2019-10-25       Impact factor: 2.984

  10 in total

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