Literature DB >> 10526357

Structure classification-based assessment of CASP3 predictions for the fold recognition targets.

A G Murzin1.   

Abstract

The sequences of at least 23 of the 43 CASP3 targets showed no significant similarity to the sequences of known structures. The experimental structures of all but three of these 23 targets revealed substantial similarities to known structures, with at least eleven of the target structures likely being distantly homologous to known structures. Nineteen of the 23 target structures were available at the time of the final CASP3 meeting in Asilomar in December 1998, whereas the experimental data on the protein folds of the remaining four targets were obtained afterwards. The predicted three-dimensional structures for each of the 23 targets were analyzed to select those predictions sharing with the experimental structures a similar overall fold and/or having correctly folded a substantial fraction of the target sequence. Initially, predicted models were numerically evaluated and the evaluation results aided the selection process. Each target structure was then classified to identify a minimal set of structural features characteristic to its protein fold and evolutionary superfamily. The predictions containing this set were assessed comparatively to find the best predictions for each target. The predictions of new folds were assessed separately. The total number of the selected 'correct' predictions and the quality of these predictions were used to compare the performance of different predictor teams and different prediction methods in the fold prediction/recognition category.

Entities:  

Mesh:

Substances:

Year:  1999        PMID: 10526357     DOI: 10.1002/(sici)1097-0134(1999)37:3+<88::aid-prot13>3.3.co;2-v

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  14 in total

1.  Comparison of sequence profiles. Strategies for structural predictions using sequence information.

Authors:  L Rychlewski; L Jaroszewski; W Li; A Godzik
Journal:  Protein Sci       Date:  2000-02       Impact factor: 6.725

2.  Modeling of the structural features of integral-membrane proteins reverse-environment prediction of integral membrane protein structure (REPIMPS).

Authors:  S Dastmalchi; M B Morris; W B Church
Journal:  Protein Sci       Date:  2001-08       Impact factor: 6.725

3.  Improving the quality of twilight-zone alignments.

Authors:  L Jaroszewski; L Rychlewski; A Godzik
Journal:  Protein Sci       Date:  2000-08       Impact factor: 6.725

4.  MAMMOTH (matching molecular models obtained from theory): an automated method for model comparison.

Authors:  Angel R Ortiz; Charlie E M Strauss; Osvaldo Olmea
Journal:  Protein Sci       Date:  2002-11       Impact factor: 6.725

5.  Docking of protein models.

Authors:  Andrei Tovchigrechko; Christopher A Wells; Ilya A Vakser
Journal:  Protein Sci       Date:  2002-08       Impact factor: 6.725

6.  Exploring the sequence-structure protein landscape in the glycosyltransferase family.

Authors:  Ziding Zhang; Sunil Kochhar; Martin Grigorov
Journal:  Protein Sci       Date:  2003-10       Impact factor: 6.725

7.  Descriptor-based protein remote homology identification.

Authors:  Ziding Zhang; Sunil Kochhar; Martin G Grigorov
Journal:  Protein Sci       Date:  2005-01-04       Impact factor: 6.725

8.  Computational study of the heterodimerization between mu and delta receptors.

Authors:  Xin Liu; Ming Kai; Lian Jin; Rui Wang
Journal:  J Comput Aided Mol Des       Date:  2009-02-13       Impact factor: 3.686

9.  Breaking the singleton of germination protease.

Authors:  Jimin Pei; Nick V Grishin
Journal:  Protein Sci       Date:  2002-03       Impact factor: 6.725

10.  Water in protein structure prediction.

Authors:  Garegin A Papoian; Johan Ulander; Michael P Eastwood; Zaida Luthey-Schulten; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-26       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.