PROSES: A Web Server for Sequence-Based Protein Encoding

Journal of computational biology: A journal of computational molecular cell biology

İrfanKösesoy^1,2¹  MuratGök^2²  CemilÖz^3³ 

[1] Address correspondence to:İrfan Kösesoy, Research AssistantDepartment of Computer EngineeringYalova UniversityMerkezYalova 77100Turkey^1;Department of Computer Engineering, Yalova University, Yalova, Turkey^2;Department of Computer and Information Sciences, Sakarya University, Sakarya, Turkey^3

关键词: feature extraction;    machine learning;    protein encoding;    protein–protein interactions;   

DOI  :  10.1089/cmb.2018.0049

学科分类：生物科学（综合）

来源: Mary Ann Liebert, Inc. Publishers

【 摘 要 】

Recently, the number of the amino acid sequences shared in online databases is growing rapidly in huge amounts. By using sequence-derived features, machine learning algorithms are successfully applied to prediction of protein functional classes, protein–protein interactions, subcellular location, and peptides of specific properties in many studies. Protein Sequence Encoding System (PROSES) is a web server designed as freely and easily accessible for all researchers who want to use computational methods on protein sequence data. That is, PROSES provides users to encode their protein sequences easily without writing any programming code.

【 授权许可】

Unknown