Protein structure prediction and model quality assessment
نویسندگان
چکیده
منابع مشابه
Protein structure prediction and model quality assessment.
Protein structures have proven to be a crucial piece of information for biomedical research. Of the millions of currently sequenced proteins only a small fraction is experimentally solved for structure and the only feasible way to bridge the gap between sequence and structure data is computational modeling. Half a century has passed since it was shown that the amino acid sequence of a protein d...
متن کاملLarge-scale model quality assessment for improving protein tertiary structure prediction
MOTIVATION Sampling structural models and ranking them are the two major challenges of protein structure prediction. Traditional protein structure prediction methods generally use one or a few quality assessment (QA) methods to select the best-predicted models, which cannot consistently select relatively better models and rank a large number of models well. RESULTS Here, we develop a novel la...
متن کاملPconsD: ultra rapid, accurate model quality assessment for protein structure prediction
SUMMARY Clustering methods are often needed for accurately assessing the quality of modeled protein structures. Recent blind evaluation of quality assessment methods in CASP10 showed that there is little difference between many different methods as far as ranking models and selecting best model are concerned. When comparing many models, the computational cost of the model comparison can become ...
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 کاملImproved prediction of protein model quality
Methods that can automatically assess the quality of computationally predicted protein structures are important, as they enable the selection of the most accurate structure from an ensemble of predictions. Assessment methods that determine the quality of a protein’s structure by comparing it against the various structures predicted by different servers have been shown to outperform approaches t...
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ژورنال
عنوان ژورنال: Drug Discovery Today
سال: 2009
ISSN: 1359-6446
DOI: 10.1016/j.drudis.2008.11.010