Literature DB >> 16424331

The impact of structural genomics: expectations and outcomes.

John-Marc Chandonia1, Steven E Brenner.   

Abstract

Structural genomics (SG) projects aim to expand our structural knowledge of biological macromolecules while lowering the average costs of structure determination. We quantitatively analyzed the novelty, cost, and impact of structures solved by SG centers, and we contrast these results with traditional structural biology. The first structure identified in a protein family enables inference of the fold and of ancient relationships to other proteins; in the year ending 31 January 2005, about half of such structures were solved at a SG center rather than in a traditional laboratory. Furthermore, the cost of solving a structure at the most efficient SG center in the United States has dropped to one-quarter of the estimated cost of solving a structure by traditional methods. However, the efficiency of the top structural biology laboratories-even though they work on very challenging structures-is comparable to that of SG centers; moreover, traditional structural biology papers are cited significantly more often, suggesting greater current impact.

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Year:  2006        PMID: 16424331     DOI: 10.1126/science.1121018

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  164 in total

1.  Real-time ligand binding pocket database search using local surface descriptors.

Authors:  Rayan Chikhi; Lee Sael; Daisuke Kihara
Journal:  Proteins       Date:  2010-07

2.  Computational design of a protein crystal.

Authors:  Christopher J Lanci; Christopher M MacDermaid; Seung-gu Kang; Rudresh Acharya; Benjamin North; Xi Yang; X Jade Qiu; William F DeGrado; Jeffery G Saven
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-25       Impact factor: 11.205

3.  On the supertertiary structure of proteins.

Authors:  Peter Tompa
Journal:  Nat Chem Biol       Date:  2012-06-18       Impact factor: 15.040

4.  Elucidating the higher-order structure of biopolymers by structural probing and mass spectrometry: MS3D.

Authors:  Daniele Fabris; Eizadora T Yu
Journal:  J Mass Spectrom       Date:  2010-08       Impact factor: 1.982

5.  Sub-AQUA: real-value quality assessment of protein structure models.

Authors:  Yifeng David Yang; Preston Spratt; Hao Chen; Changsoon Park; Daisuke Kihara
Journal:  Protein Eng Des Sel       Date:  2010-06-04       Impact factor: 1.650

6.  Spatially addressed combinatorial protein libraries for recombinant antibody discovery and optimization.

Authors:  Hongyuan Mao; James J Graziano; Tyson M A Chase; Cornelia A Bentley; Omar A Bazirgan; Neil P Reddy; Byeong Doo Song; Vaughn V Smider
Journal:  Nat Biotechnol       Date:  2010-10-24       Impact factor: 54.908

7.  Structural biology: Proteins in dynamic equilibrium.

Authors:  Pau Bernadó; Martin Blackledge
Journal:  Nature       Date:  2010-12-23       Impact factor: 49.962

Review 8.  Interpreting functional effects of coding variants: challenges in proteome-scale prediction, annotation and assessment.

Authors:  Khader Shameer; Lokesh P Tripathi; Krishna R Kalari; Joel T Dudley; Ramanathan Sowdhamini
Journal:  Brief Bioinform       Date:  2015-10-22       Impact factor: 11.622

Review 9.  Classification of proteins with shared motifs and internal repeats in the ECOD database.

Authors:  R Dustin Schaeffer; Lisa N Kinch; Yuxing Liao; Nick V Grishin
Journal:  Protein Sci       Date:  2016-02-21       Impact factor: 6.725

10.  Structure- and sequence-based function prediction for non-homologous proteins.

Authors:  Lee Sael; Meghana Chitale; Daisuke Kihara
Journal:  J Struct Funct Genomics       Date:  2012-01-22
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