Literature DB >> 12874373

Have we seen all structures corresponding to short protein fragments in the Protein Data Bank? An update.

Peicheng Du1, Michael Andrec, Ronald M Levy.   

Abstract

Assembling short fragments from known structures has been a widely used approach to construct novel protein structures. To what extent there exist structurally similar fragments in the database of known structures for short fragments of a novel protein is a question that is fundamental to this approach. This work addresses that question for seven-, nine- and 15-residue fragments. For each fragment size, two databases, a query database and a template database of fragments from high-quality protein structures in SCOP20 and SCOP90, respectively, were constructed. For each fragment in the query database, the template database was scanned to find the lowest r.m.s.d. fragment among non-homologous structures. For seven-residue fragments, there is a 99% probability that there exists such a fragment within 0.7 A r.m.s.d. for each loop fragment. For nine-residue fragments there is a 96% probability of a fragment within 1 A r.m.s.d., while for 15-residue fragments there is a 91% probability of a fragment within 2 A r.m.s.d. These results, which update previous studies, show that there exists sufficient coverage to model even a novel fold using fragments from the Protein Data Bank, as the current database of known structures has increased enormously in the last few years. We have also explored the use of a grid search method for loop homology modeling and make some observations about the use of a grid search compared with a database search for the loop modeling problem.

Mesh:

Substances:

Year:  2003        PMID: 12874373     DOI: 10.1093/protein/gzg052

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  22 in total

1.  Protein loop closure using orientational restraints from NMR data.

Authors:  Chittaranjan Tripathy; Jianyang Zeng; Pei Zhou; Bruce Randall Donald
Journal:  Proteins       Date:  2011-12-13

2.  Relative packing groups in template-based structure prediction: cooperative effects of true positive constraints.

Authors:  Ryan Day; Xiaotao Qu; Rosemarie Swanson; Zach Bohannan; Robert Bliss; Jerry Tsai
Journal:  J Comput Biol       Date:  2011-01       Impact factor: 1.479

3.  Fold recognition by combining sequence profiles derived from evolution and from depth-dependent structural alignment of fragments.

Authors:  Hongyi Zhou; Yaoqi Zhou
Journal:  Proteins       Date:  2005-02-01

4.  Critical Role of a Loop at C-Terminal Domain on the Conformational Stability and Catalytic Efficiency of Chondroitinase ABC I.

Authors:  S Akram Shirdel; Khosrow Khalifeh; Abolfazl Golestani; Bijan Ranjbar; Khosro Khajeh
Journal:  Mol Biotechnol       Date:  2015-08       Impact factor: 2.695

5.  A modular perspective of protein structures: application to fragment based loop modeling.

Authors:  Narcis Fernandez-Fuentes; Andras Fiser
Journal:  Methods Mol Biol       Date:  2013

6.  Dynameomics: data-driven methods and models for utilizing large-scale protein structure repositories for improving fragment-based loop prediction.

Authors:  Steven J Rysavy; David A C Beck; Valerie Daggett
Journal:  Protein Sci       Date:  2014-09-03       Impact factor: 6.725

Review 7.  Template-based protein structure modeling.

Authors:  Andras Fiser
Journal:  Methods Mol Biol       Date:  2010

8.  LEAP: highly accurate prediction of protein loop conformations by integrating coarse-grained sampling and optimized energy scores with all-atom refinement of backbone and side chains.

Authors:  Shide Liang; Chi Zhang; Yaoqi Zhou
Journal:  J Comput Chem       Date:  2013-12-10       Impact factor: 3.376

9.  Including Functional Annotations and Extending the Collection of Structural Classifications of Protein Loops (ArchDB).

Authors:  Antoni Hermoso; Jordi Espadaler; E Enrique Querol; Francesc X Aviles; Michael J E Sternberg; Baldomero Oliva; Narcis Fernandez-Fuentes
Journal:  Bioinform Biol Insights       Date:  2009-11-24

10.  A self-organizing algorithm for modeling protein loops.

Authors:  Pu Liu; Fangqiang Zhu; Dmitrii N Rassokhin; Dimitris K Agrafiotis
Journal:  PLoS Comput Biol       Date:  2009-08-21       Impact factor: 4.475

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