Automated RNA tertiary structure prediction from secondary structure and low-resolution restraints
نویسندگان
چکیده
منابع مشابه
RNA Secondary Structure Prediction.
In this unit, protocols are provided for predicting RNA secondary structure with the user-friendly RNAstructure desktop computer program and the RNAstructure Web server. The minimum free energy structure and a set of suboptimal structures with similar free energies are predicted. Prediction of high-affinity oligonucleotide binding sites to a structured RNA target is also presented. © 2016 by Jo...
متن کاملRna Secondary Structure Prediction
Understanding secondary structures of RNAs helps to determine their chemical and biological properties. Only a small number of RNA structures have been determined currently since such structure determination experiments are timeconsuming and expensive. As a result, scientists start to rely on RNA secondary structure prediction. Unlike protein structure prediction, predicting RNA secondary struc...
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Information about the secondary and tertiary structure of a protein sequence can greatly assist biologists in the generation and testing of hypotheses, as well as design of experiments. The PROTINFO server enables users to submit a protein sequence and request a prediction of the three-dimensional (tertiary) structure based on comparative modeling, fold generation and de novo methods developed ...
متن کاملMethod for low resolution prediction of small protein tertiary structure.
A new method for the de novo prediction of protein structures at low resolution has been developed. Starting from a multiple sequence alignment, protein secondary structure is predicted, and only those topological elements with high reliability are selected. Then, the multiple sequence alignment and the secondary structure prediction are combined to predict side chain contacts. Such contact map...
متن کاملRNA Secondary Structure Prediction Algorithms
RNA secondary structure prediction is an important problem studied extensively in the past three dacades. However, pseudoknots are usually excluded in RNA secondary structure prediction due to the hardness of examining all possible structures efficiently and model the energy correctly. Current algorithms on predicting structures with pseudoknots usually have extremely high resource requirements...
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ژورنال
عنوان ژورنال: Journal of Computational Chemistry
سال: 2011
ISSN: 0192-8651
DOI: 10.1002/jcc.21806