AUTHOR=Wan Hao , Zhang Jina , Ding Yijie , Wang Hetian , Tian Geng TITLE=Immunoglobulin Classification Based on FC* and GC* Features JOURNAL=Frontiers in Genetics VOLUME=12 YEAR=2022 URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2021.827161 DOI=10.3389/fgene.2021.827161 ISSN=1664-8021 ABSTRACT=

Immunoglobulins have a pivotal role in disease regulation. Therefore, it is vital to accurately identify immunoglobulins to develop new drugs and research related diseases. Compared with utilizing high-dimension features to identify immunoglobulins, this research aimed to examine a method to classify immunoglobulins and non-immunoglobulins using two features, FC* and GC*. Classification of 228 samples (109 immunoglobulin samples and 119 non-immunoglobulin samples) revealed that the overall accuracy was 80.7% in 10-fold cross-validation using the J48 classifier implemented in Weka software. The FC* feature identified in this study was found in the immunoglobulin subtype domain, which demonstrated that this extracted feature could represent functional and structural properties of immunoglobulins for forecasting.