EventsMOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed.
Event submissions
Published
with-doi10.3390/mol2net-04-05467
This submission belongs to the session 08. NANOBIOMAT-04: Nanotechnology & Biomaterials Sci. Congress, Jackson & Fargo, USA, 2018 of the event MOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed.
Published date
01 Aug, 2018
Citation
Diana Violeta Urista Márquez, Prediction of Activity for Antimalarial Nanoparticle Delivery Systems, in Proceedings of MOL2NET'18, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 4th ed., 15 January 2018–20 January 2019, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-04-05467
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Prediction of Activity for Antimalarial Nanoparticle Delivery Systems

Diana Violeta Urista Márquez 1
1. Bachelor's Degree Nanotechnology - Universidad de Guadalajara
Abstract

For the development of the project different activities were carried out, starting with the analysis of databases downloaded from ChEMBL. These databases collect information on thousands of drugs that are used to treat several diseases. In this case, we used bases related to Plasmodium which causes malaria in humans. Additionally, a compilation of information on multiple nanoparticles was analyzed. Finally, with help of Excel application and a statistical package named STATISTICA, we found a computational model that can help us to select more effective drug-nanoparticles pairs instead of wasting resources and time creating many samples.

Keywords
nanotechnology
machine learning
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