Literature DB >> 11814598

Structural proteomics: developments in structure-to-function predictions.

Martin Norin1, Michael Sundström.   

Abstract

The major challenge for post-genomic research is to functionally assign and validate a large number of novel target genes and their corresponding proteins. Functional genomics approaches have, therefore, gained considerable attention in the quest to convert this massive data set into useful information. One of the crucial components for the functional understanding of unassigned proteins is the analysis of their experimental or modeled 3D structures. Structural proteomics initiatives are generating protein structures at an unprecedented rate but our current knowledge of 3D-structural space is still limited. Estimates on the completeness of the 3D-structural coverage of proteins vary but it is generally accepted that only a minority of the structural proteome has a template structure from which reliable conclusions can be drawn. Thus, structural proteomics has set out to build a map of protein structures that will represent all protein folds included in the 'global proteome'.

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Year:  2002        PMID: 11814598     DOI: 10.1016/s0167-7799(01)01884-4

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  10 in total

1.  From protein structure to biochemical function?

Authors:  Roman A Laskowski; James D Watson; Janet M Thornton
Journal:  J Struct Funct Genomics       Date:  2003

2.  Automated prediction of protein function and detection of functional sites from structure.

Authors:  Florencio Pazos; Michael J E Sternberg
Journal:  Proc Natl Acad Sci U S A       Date:  2004-09-29       Impact factor: 11.205

3.  An optimal protocol to analyze the rat spinal cord proteome.

Authors:  F Gil-Dones; S Alonso-Orgaz; G Avila; T Martin-Rojas; V Moral-Darde; G Barroso; F Vivanco; J Scott-Taylor; M G Barderas
Journal:  Biomark Insights       Date:  2009-10-28

4.  Functional Diversity of Haloacid Dehalogenase Superfamily Phosphatases from Saccharomyces cerevisiae: BIOCHEMICAL, STRUCTURAL, AND EVOLUTIONARY INSIGHTS.

Authors:  Ekaterina Kuznetsova; Boguslaw Nocek; Greg Brown; Kira S Makarova; Robert Flick; Yuri I Wolf; Anna Khusnutdinova; Elena Evdokimova; Ke Jin; Kemin Tan; Andrew D Hanson; Ghulam Hasnain; Rémi Zallot; Valérie de Crécy-Lagard; Mohan Babu; Alexei Savchenko; Andrzej Joachimiak; Aled M Edwards; Eugene V Koonin; Alexander F Yakunin
Journal:  J Biol Chem       Date:  2015-06-12       Impact factor: 5.157

Review 5.  Deep learning methods for 3D structural proteome and interactome modeling.

Authors:  Dongjin Lee; Dapeng Xiong; Shayne Wierbowski; Le Li; Siqi Liang; Haiyuan Yu
Journal:  Curr Opin Struct Biol       Date:  2022-02-06       Impact factor: 6.809

Review 6.  Understanding Leishmania parasites through proteomics and implications for the clinic.

Authors:  Shyam Sundar; Bhawana Singh
Journal:  Expert Rev Proteomics       Date:  2018-05-02       Impact factor: 3.940

7.  Predicting protein function by machine learning on amino acid sequences--a critical evaluation.

Authors:  Ali Al-Shahib; Rainer Breitling; David R Gilbert
Journal:  BMC Genomics       Date:  2007-03-20       Impact factor: 3.969

8.  Pattern similarity study of functional sites in protein sequences: lysozymes and cystatins.

Authors:  Shuryo Nakai; Eunice C Y Li-Chan; Jinglie Dou
Journal:  BMC Biochem       Date:  2005-05-18       Impact factor: 4.059

Review 9.  Theory and applications of differential scanning fluorimetry in early-stage drug discovery.

Authors:  Kai Gao; Rick Oerlemans; Matthew R Groves
Journal:  Biophys Rev       Date:  2020-01-31

10.  Boosting accuracy of automated classification of fluorescence microscope images for location proteomics.

Authors:  Kai Huang; Robert F Murphy
Journal:  BMC Bioinformatics       Date:  2004-06-18       Impact factor: 3.169

  10 in total

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