Literature DB >> 25330970

De novo membrane protein structure prediction.

Timothy Nugent1.   

Abstract

Recent advances in identifying residue-residue contacts from large multiple sequence alignments have enabled impressive gains to be made in the field of protein structure prediction. In this chapter, we discuss these advances and provide a step-by-step guide to applying the latest tools to the de novo modelling of alpha-helical transmembrane proteins. As a practical example, we demonstrate the process of building an accurate 3D model of a G protein-coupled receptor, correctly orientated in the membrane, using only its primary protein sequence.

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Year:  2015        PMID: 25330970     DOI: 10.1007/978-1-4939-1465-4_15

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

1.  OMPcontact: An Outer Membrane Protein Inter-Barrel Residue Contact Prediction Method.

Authors:  Li Zhang; Han Wang; Lun Yan; Lingtao Su; Dong Xu
Journal:  J Comput Biol       Date:  2016-08-11       Impact factor: 1.479

2.  Exploring the Topology of Cytoplasmic Membrane Proteins Involved in Lipopolysaccharide Biosynthesis by in Silico and Biochemical Analyses.

Authors:  Julia Monjarás Feria; Miguel A Valvano
Journal:  Methods Mol Biol       Date:  2022

3.  Evolution of the α-Subunit of Na/K-ATPase from Paramecium to Homo sapiens: Invariance of Transmembrane Helix Topology.

Authors:  Gene A Morrill; Adele B Kostellow; Lijun Liu; Raj K Gupta; Amir Askari
Journal:  J Mol Evol       Date:  2016-03-10       Impact factor: 2.395

4.  Rosetta Broker for membrane protein structure prediction: concentrative nucleoside transporter 3 and corticotropin-releasing factor receptor 1 test cases.

Authors:  Dorota Latek
Journal:  BMC Struct Biol       Date:  2017-08-03

5.  Revisiting the "satisfaction of spatial restraints" approach of MODELLER for protein homology modeling.

Authors:  Giacomo Janson; Alessandro Grottesi; Marco Pietrosanto; Gabriele Ausiello; Giulia Guarguaglini; Alessandro Paiardini
Journal:  PLoS Comput Biol       Date:  2019-12-17       Impact factor: 4.475

  5 in total

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