EventsMOL2NET'19, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 5th ed.
Published
This submission belongs to the session 01. USEDAT-05: USA-Europe Data Analysis Training Bilbao, Spain-Cambridge, UK-Miami, USA, 2019 of the event MOL2NET'19, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 5th ed.
Published date
11 Sep, 2019
Citation
Viviana Quevedo, Bernabe Ortega-Tenezaca, IF for the dataset of Plasmodium Falciparum, in Proceedings of MOL2NET'19, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 5th ed., 20 March–20 December 2019, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-05-06253
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IF for the dataset of Plasmodium Falciparum

image
1. RNASA-IMEDIR, Computer Science Faculty, University of A Coruña, 15071, A Coruña, Spain
2. Universidad Estatal Amazónica
3. Universidad Estatal Amazónica, UTIC, Puyo, Ecuador
Abstract

Build a Dataset of structural and external variables of the Plasmodium Falciparum organism using the information collected from different databases such as ChEMBL, NCBI-GDV and Uniprot to predict the activity of the drug to the gene on the chromosome of this organism and determine if the orientation of the gene it influences this process. In this research work it is important to calculate the Shannon of Entropy in Canonical Smile, Protein Sequences and genes sequences.

Keywords
Plasmodium Falciparum
Entropy
Shannon
Manuscript
Poster
usedat template VivianaQuevedo 2019.pdf
Batch processing in transformation of continuous variables for PTML Theory
USEDAT: USA-Europe Data Analysis Training Worldwide Program, 2019 ed.