PREDICTING PROTEIN SUBMITOCHONDRIAL LOCATIONS WITH WEIGHTED GENE ONTOLOGY SCORES

摘要：

Mitochondria are important subcellular organelles that only appear in eukaryotic cells.The mitochondria proteins play important roles in energy metabolism.Knowing the protein localization inside the mitochondria is critical in understanding the protein function.Since experimental approaches for determining protein localization are always costly and time consuming, computational methods for predicting protein localization becomes an important topic.In this paper, we proposed a novel method, namely Weighted Gene Ontology Scores for predicting protein submitochondria locations.Our method performs better than the existing methods, indicating its potential application value in practical research.

关键词： Submitochondrial locations Weighted Gene Ontology Scores

作者: PUFENG DU XIN WNAG

作者单位: School of Computer Science and Technology,Tianjin University,Tianjin 300072,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 1643-1647

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）