Literature DB >> 11567104

A novel approach for assessing macromolecular complexes combining soft-docking calculations with NMR data.

X J Morelli1, P N Palma, F Guerlesquin, A C Rigby.   

Abstract

We present a novel and efficient approach for assessing protein-protein complex formation, which combines ab initio docking calculations performed with the protein docking algorithm BiGGER and chemical shift perturbation data collected with heteronuclear single quantum coherence (HSQC) or TROSY nuclear magnetic resonance (NMR) spectroscopy. This method, termed "restrained soft-docking," is validated for several known protein complexes. These data demonstrate that restrained soft-docking extends the size limitations of NMR spectroscopy and provides an alternative method for investigating macromolecular protein complexes that requires less experimental time, effort, and resources. The potential utility of this novel NMR and simulated docking approach in current structural genomic initiatives is discussed.

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Year:  2001        PMID: 11567104      PMCID: PMC2374225          DOI: 10.1110/ps.07501

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  45 in total

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3.  BiGGER: a new (soft) docking algorithm for predicting protein interactions.

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4.  Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.

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Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-15       Impact factor: 11.205

5.  Heteronuclear NMR and soft docking: an experimental approach for a structural model of the cytochrome c553-ferredoxin complex.

Authors:  X Morelli; A Dolla; M Czjzek; P N Palma; F Blasco; L Krippahl; J J Moura; F Guerlesquin
Journal:  Biochemistry       Date:  2000-03-14       Impact factor: 3.162

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Authors:  D J Bacon; J Moult
Journal:  J Mol Biol       Date:  1992-06-05       Impact factor: 5.469

7.  Protein-protein recognition analyzed by docking simulation.

Authors:  J Cherfils; S Duquerroy; J Janin
Journal:  Proteins       Date:  1991

8.  Identification by NMR of the binding surface for the histidine-containing phosphocarrier protein HPr on the N-terminal domain of enzyme I of the Escherichia coli phosphotransferase system.

Authors:  D S Garrett; Y J Seok; A Peterkofsky; G M Clore; A M Gronenborn
Journal:  Biochemistry       Date:  1997-04-15       Impact factor: 3.162

9.  X-ray structures of recombinant yeast cytochrome c peroxidase and three heme-cleft mutants prepared by site-directed mutagenesis.

Authors:  J M Wang; M Mauro; S L Edwards; S J Oatley; L A Fishel; V A Ashford; N H Xuong; J Kraut
Journal:  Biochemistry       Date:  1990-08-07       Impact factor: 3.162

10.  Crystal structure of a complex between electron transfer partners, cytochrome c peroxidase and cytochrome c.

Authors:  H Pelletier; J Kraut
Journal:  Science       Date:  1992-12-11       Impact factor: 47.728

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  10 in total

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2.  Docking and electron transfer studies between rubredoxin and rubredoxin:oxygen oxidoreductase.

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3.  Automated evaluation of chemical shift perturbation spectra: New approaches to quantitative analysis of receptor-ligand interaction NMR spectra.

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Journal:  J Biomol NMR       Date:  2004-08       Impact factor: 2.835

4.  Use of quantitative (1)H NMR chemical shift changes for ligand docking into barnase.

Authors:  Marina Cioffi; Christopher A Hunter; Martin J Packer; Maya J Pandya; Mike P Williamson
Journal:  J Biomol NMR       Date:  2008-11-01       Impact factor: 2.835

5.  Automation of peak-tracking analysis of stepwise perturbed NMR spectra.

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Journal:  J Biomol NMR       Date:  2017-02-17       Impact factor: 2.835

6.  High-resolution structure determination of the CylR2 homodimer using paramagnetic relaxation enhancement and structure-based prediction of molecular alignment.

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Review 7.  Synergistic applications of MD and NMR for the study of biological systems.

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8.  Structural modeling of protein interactions by analogy: application to PSD-95.

Authors:  Dmitry Korkin; Fred P Davis; Frank Alber; Tinh Luong; Min-Yi Shen; Vladan Lucic; Mary B Kennedy; Andrej Sali
Journal:  PLoS Comput Biol       Date:  2006-10-04       Impact factor: 4.475

9.  Structural bioinformatics and protein docking analysis of the molecular chaperone-kinase interactions: towards allosteric inhibition of protein kinases by targeting the hsp90-cdc37 chaperone machinery.

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10.  Predicting Protein-Protein Interactions Using BiGGER: Case Studies.

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Journal:  Molecules       Date:  2016-08-09       Impact factor: 4.411

  10 in total

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