Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/2388
Title: PROTEIN SEQUENCE DETECTION USING ENSEMBLE LEARNING
Authors: Sathiyakumari K
Sasikala P
Keywords: Protein Sequence
Ensemble learning
Bagging
Boosting
Stacking
Issue Date: May-2018
Publisher: Academic publisher
Abstract: The main objective is to predict the structure of proteins. The key to the wide variety of functions shown by individual proteins is in their three dimensional structure adopted by this sequence. The main objective is to understand protein function at the molecular level, it is important to study the structure adopted by a particular sequence. This is one of the greatest challenges in Bioinformatics. There are 4 types of structures; Primary structure, Secondary structure, Tertiary structure and Quaternary structure. Secondary structure prediction is an important intermediate step in this process because 3D structure can be determined from the local folds that are found in secondary structures by ensemble learning methodology.
URI: https://acadpubl.eu/hub/2018-119-18/2/139.pdf
http://localhost:8080/xmlui/handle/123456789/2388
ISSN: 1314-3395
Appears in Collections:International Journals

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