Secondary Structure Prediction of RNA using Machine Learning Method
نویسندگان
چکیده
منابع مشابه
Protein secondary structure prediction using logic-based machine learning.
Many attempts have been made to solve the problem of predicting protein secondary structure from the primary sequence but the best performance results are still disappointing. In this paper, the use of a machine learning algorithm which allows relational descriptions is shown to lead to improved performance. The Inductive Logic Programming computer program, Golem, was applied to learning second...
متن کاملProtein Secondary Structure Prediction: a Literature Review with Focus on Machine Learning Approaches
DNA sequence, containing all genetic traits is not a functional entity. Instead, it transfers to protein sequences by transcription and translation processes. This protein sequence takes on a 3D structure later, which is a functional unit and can manage biological interactions using the information encoded in DNA. Every life process one can figure is undertaken by proteins with specific functio...
متن کاملRNA Secondary Structure Prediction Using Hierarchical Folding
Algorithms for prediction of RNA secondary structure— the set of base pairsthat form when an RNA molecule folds— are valuable to biologists who aim tounderstand RNA structure and function. Improving the accuracy and efficiencyof prediction methods is an ongoing challenge, particularly for pseudoknottedsecondary structures, in which base pairs overlap. This challenge is biologica...
متن کاملRNA 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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2010
ISSN: 0975-8887
DOI: 10.5120/1486-2003