Gaia: automated quality assessment of protein structure models
نویسندگان
چکیده
منابع مشابه
Gaia: automated quality assessment of protein structure models
MOTIVATION Increasing use of structural modeling for understanding structure-function relationships in proteins has led to the need to ensure that the protein models being used are of acceptable quality. Quality of a given protein structure can be assessed by comparing various intrinsic structural properties of the protein to those observed in high-resolution protein structures. RESULTS In th...
متن کاملStructural bioinformatics Gaia: Automated Quality Assessment of Protein Structure Models
Supplementary Figure S1. Parameters used for surface area and void calculations. For any two overlapping atoms i and j, various distances and angles are represented in the figure. These parameters are used in different equations shown in the main text for computation of MSA/SASA and void volume.
متن کاملQuality assessment of protein structure models.
Computational protein tertiary structure prediction has made significant progress over the last decade due to the advancement of techniques and the growth of sequence and structure databases. However, it is still not very easy to predict the accuracy of a given predicted structure. Predicting the accuracy, or quality assessment of a prediction model, is crucial for a practical use of the model ...
متن کاملScoring function for automated assessment of protein structure template quality.
We have developed a new scoring function, the template modeling score (TM-score), to assess the quality of protein structure templates and predicted full-length models by extending the approaches used in Global Distance Test (GDT)1 and MaxSub.2 First, a protein size-dependent scale is exploited to eliminate the inherent protein size dependence of the previous scores and appropriately account fo...
متن کاملSub-AQUA: real-value quality assessment of protein structure models.
Computational protein tertiary structure prediction has made significant progress over the past years. However, most of the existing structure prediction methods are not equipped with functionality to predict accuracy of constructed models. Knowing the accuracy of a structure model is crucial for its practical use since the accuracy determines potential applications of the model. Here we have d...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2011
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btr374