Literature DB >> 30516106

Understanding Membrane Protein Drug Targets in Computational Perspective.

Jianting Gong1,2, Yongbing Chen1,2, Feng Pu1,2, Pingping Sun1,2, Fei He1,2, Li Zhang3, Yanwen Li1,2, Zhiqiang Ma1,2, Han Wang1,2.   

Abstract

Membrane proteins play crucial physiological roles in vivo and are the major category of drug targets for pharmaceuticals. The research on membrane protein is a significant part in the drug discovery. The biological process is a cycled network, and the membrane protein is a vital hub in the network since most drugs achieve the therapeutic effect via interacting with the membrane protein. In this review, typical membrane protein targets are described, including GPCRs, transporters and ion channels. Also, we conclude network servers and databases that are referring to the drug, drug-target information and their relevant data. Furthermore, we chiefly introduce the development and practice of modern medicines, particularly demonstrating a series of state-of-the-art computational models for the prediction of drug-target interaction containing network-based approach and machine-learningbased approach as well as showing current achievements. Finally, we discuss the prospective orientation of drug repurposing and drug discovery as well as propose some improved framework in bioactivity data, created or improved predicted approaches, alternative understanding approaches of drugs bioactivity and their biological processes. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Keywords:  Membrane protein; biological networks; computational biology; drug discovery; drug targets; machine learning.

Mesh:

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Year:  2019        PMID: 30516106     DOI: 10.2174/1389450120666181204164721

Source DB:  PubMed          Journal:  Curr Drug Targets        ISSN: 1389-4501            Impact factor:   3.465


  9 in total

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Review 2.  Protein Design: From the Aspect of Water Solubility and Stability.

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3.  Novel In Silico Insights into Rv1417 and Rv2617c as Potential Protein Targets: The Importance of the Medium on the Structural Interactions with Exported Repetitive Protein (Erp) of Mycobacterium tuberculosis.

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Journal:  Polymers (Basel)       Date:  2022-06-25       Impact factor: 4.967

Review 4.  Mass Spectrometry Methods for Measuring Protein Stability.

Authors:  Daniel D Vallejo; Carolina Rojas Ramírez; Kristine F Parson; Yilin Han; Varun V Gadkari; Brandon T Ruotolo
Journal:  Chem Rev       Date:  2022-03-22       Impact factor: 72.087

5.  Development of 1,3-acetonedicarboxylate-derived glucoside amphiphiles (ACAs) for membrane protein study.

Authors:  Ho Jin Lee; Muhammad Ehsan; Xiang Zhang; Satoshi Katsube; Chastine F Munk; Haoqing Wang; Waqar Ahmed; Ashwani Kumar; Bernadette Byrne; Claus J Loland; Lan Guan; Xiangyu Liu; Pil Seok Chae
Journal:  Chem Sci       Date:  2022-04-19       Impact factor: 9.969

6.  Guardians of the Cell: State-of-the-Art of Membrane Proteins from a Computational Point-of-View.

Authors:  Nícia Rosário-Ferreira; Catarina Marques-Pereira; Raquel P Gouveia; Joana Mourão; Irina S Moreira
Journal:  Methods Mol Biol       Date:  2021

7.  Binding site identification of G protein-coupled receptors through a 3D Zernike polynomials-based method: application to C. elegans olfactory receptors.

Authors:  Lorenzo Di Rienzo; Luca De Flaviis; Giancarlo Ruocco; Viola Folli; Edoardo Milanetti
Journal:  J Comput Aided Mol Des       Date:  2022-01-01       Impact factor: 3.686

8.  Structural and Functional Elucidation of IF-3 Protein of Chloroflexus aurantiacus Involved in Protein Biosynthesis: An In Silico Approach.

Authors:  Abu Saim Mohammad Saikat; Md Ekhlas Uddin; Tasnim Ahmad; Shahriar Mahmud; Md Abu Sayeed Imran; Sohel Ahmed; Salem A Alyami; Mohammad Ali Moni
Journal:  Biomed Res Int       Date:  2021-07-01       Impact factor: 3.411

9.  Membrane Chemistry Tunes the Structure of a Peptide Transporter.

Authors:  Tanya Lasitza-Male; Kim Bartels; Jakub Jungwirth; Felix Wiggers; Gabriel Rosenblum; Hagen Hofmann; Christian Löw
Journal:  Angew Chem Int Ed Engl       Date:  2020-09-11       Impact factor: 15.336

  9 in total

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