NDLI: Phosphorylation sites prediction using Random Forest

Content Provider	IEEE Xplore Digital Library
Author	Ismail, H.D. Jones, A. Kim, J.H. Newman, R.H. Dukka, B.K.C.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Eng., North Carolina Agric. & Tech. State Univ., Greensboro, NC, USA (Ismail, H.D.; Dukka, B.K.C.) \|\| Dept. of Biol., North Carolina Agric. & Tech. State Univ., Greensboro, NC, USA (Newman, R.H.) \|\| Dept. of Electr. & Comput. Eng., North Carolina Agric. & Tech. State Univ., Greensboro, NC, USA (Jones, A.; Kim, J.H.)
Abstract	Protein phosphorylation is one of the most widespread regulatory mechanisms in eukaryotes. Over the past decade, phosphorylation site prediction has emerged as an important problem in the field of bioinformatics. Here, we report a new method, termed Random Forest-based Phosphosite predictor 1.0 (RF-Phos 1.0), to predict phosphorylation sites given only the primary amino acid sequence of a protein as input. RF-Phos 1.0, which uses random forest classifiers to integrate various sequence and structural features, is able to identify putative sites of phosphorylation across many protein families. In side-by-side comparisons based on 10-fold cross validation and an independent dataset, RF-Phos 1.0 compares favorably to other existing phosphosite prediction methods, such as PhosphoSVM, GPS2.1 and Musite.
Starting Page	1
Ending Page	6
File Size	844142
Page Count	6
File Format	PDF
e-ISBN	9781467396639
DOI	10.1109/ICCABS.2015.7344726
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radio frequency Training Phosphorylation site prediction Amino acids Feature extraction Entropy Protein sequence Protein Functional prediction Random Forest
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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