Literature DB >> 18491310

Incorporating high-throughput proteomics experiments into structural biology pipelines: identification of the low-hanging fruits.

Roland A Pache1, Patrick Aloy.   

Abstract

The last years have seen the emergence of many large-scale proteomics initiatives that have identified thousands of new protein interactions and macromolecular assemblies. However, unfortunately, only a few among the discovered complexes meet the high-quality standards required to be promptly used in structural studies. This has thus created an increasing gap between the number of known protein interactions and complexes and those for which a high-resolution 3-D structure is available. Here, we present and validate a computational strategy to distinguish those complexes found in high-throughput affinity purification experiments that will stand the best chances to successfully express, purify and crystallize with little further intervention. Our method suggests that there are some 50 complexes recently discovered in yeast that could readily enter the structural biology pipelines.

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Year:  2008        PMID: 18491310     DOI: 10.1002/pmic.200700966

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  8 in total

Review 1.  Flexibility and binding affinity in protein-ligand, protein-protein and multi-component protein interactions: limitations of current computational approaches.

Authors:  Pierre Tuffery; Philippe Derreumaux
Journal:  J R Soc Interface       Date:  2011-10-12       Impact factor: 4.118

2.  Interactome3D: adding structural details to protein networks.

Authors:  Roberto Mosca; Arnaud Céol; Patrick Aloy
Journal:  Nat Methods       Date:  2012-12-16       Impact factor: 28.547

3.  Combinatorial approach for large-scale identification of linked peptides from tandem mass spectrometry spectra.

Authors:  Jian Wang; Veronica G Anania; Jeff Knott; John Rush; Jennie R Lill; Philip E Bourne; Nuno Bandeira
Journal:  Mol Cell Proteomics       Date:  2014-02-03       Impact factor: 5.911

4.  Identification of a ubiquitin-binding interface using Rosetta and DEER.

Authors:  Maxx H Tessmer; David M Anderson; Adam M Pickrum; Molly O Riegert; Rocco Moretti; Jens Meiler; Jimmy B Feix; Dara W Frank
Journal:  Proc Natl Acad Sci U S A       Date:  2018-01-02       Impact factor: 11.205

5.  Computational approaches to selecting and optimising targets for structural biology.

Authors:  Ian M Overton; Geoffrey J Barton
Journal:  Methods       Date:  2011-08-27       Impact factor: 3.608

6.  Repurposed Analog of GLP-1 Ameliorates Hyperglycemia in Type 1 Diabetic Mice Through Pancreatic Cell Reprogramming.

Authors:  Adrian Villalba; Silvia Rodriguez-Fernandez; David Perna-Barrull; Rosa-Maria Ampudia; Laia Gomez-Muñoz; Irma Pujol-Autonell; Eva Aguilera; Mireia Coma; Mary Cano-Sarabia; Federico Vázquez; Joan Verdaguer; Marta Vives-Pi
Journal:  Front Endocrinol (Lausanne)       Date:  2020-05-13       Impact factor: 5.555

7.  Pushing structural information into the yeast interactome by high-throughput protein docking experiments.

Authors:  Roberto Mosca; Carles Pons; Juan Fernández-Recio; Patrick Aloy
Journal:  PLoS Comput Biol       Date:  2009-08-28       Impact factor: 4.475

8.  Increasing the precision of orthology-based complex prediction through network alignment.

Authors:  Roland A Pache; Patrick Aloy
Journal:  PeerJ       Date:  2014-05-29       Impact factor: 2.984

  8 in total

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