Indonesian Journal of Life Sciences
2019: IJLS Vol 01 No .02

Prediction Methods of the Protein Subcellular Localization: A Systematic Reviews

Parikesit, Arli Aditya (Unknown)
Patricia, Gabriella (Unknown)
Ratnasari, Nanda Risqia Pradana (Unknown)

Article Info

Publish Date
30 Sep 2019

Abstract

The prediction of protein subcellular localization (SCL) has been a long-running challenge in bioinformatics. Protein SCL is crucial for a protein to exercise its functions properly. The reliance of protein localization on signaling peptides and the information available in gene ontology (GO) databases makes it possible to use computational approaches to predict protein SCL. SCL methods can be classified as either sequence-based or annotation-based. Machine learning algorithms and classifiers are used in protein SCL prediction tools. This review presents a list of protein SCL predictors published in the last 5 years.

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Journal Info
Indonesian Journal of Life Sciences
Website

Abbrev

IJLS

Publisher

Indonesia International Institute for Life Sciences

Subject

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Medicine & Pharmacology

Description

The Indonesian Journal of Life Sciences (IJLS) is a journal published by Indonesia International Institute for Life Sciences Press (i3L Press). IJLS is a scientific journal contains original research articles, review articles, and short communication covering all aspects in life sciences. This ...