TY - JOUR
AU - 
AB - Bioinformatics increasingly popular due to its ability to analyze and process biological data quickly and effectively. The essential part of bioinformatics is to identify protein function and characteristics by building a prediction method using machine learning algorithms. This include how machine learning can be used to analyze and classification function of proteins that are suitable for use as detection of diseases, designing the right medical treatment for patient, and develop drugs for several diseases. Predictive tools of model protein–ligand binding on demand and protein function are needed to promote biology research in an innovative drug- design environment. However, it takes considerable time and effort to develop predictive tools that can be applied to protein. In this research we developed bioinformatics tools that can automatically restore the protein data in the form of amino acid composition (AAC), dipeptide pair composition (DPC), and position specification scoring matrix (PSSM). The protein data, we have taken from uniprot database that contains fasta file. This work we build tools to facilitate Copyright @2018 | Universitas Klabat | CORIS Member | ISSN: 2541-2221 | E-ISSN: 2477-8079 Cogito Smart Journal | VOL. 4 | NO.2 | DESEMBER 2018 ◼ 306 data scientist or researches in processing 
TI - Bioinformatics Tools for Data Processing and Prediction of Protein Function
JF - CogITo Smart Journal
DO - 10.31154/cogito.v4i2.137.305-315
DA - 2019-01-16
UR - https://www.deepdyve.com/lp/unpaywall/bioinformatics-tools-for-data-processing-and-prediction-of-protein-cKaUA2EzAP
DP - DeepDyve
ER -