EventsMOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
Event submissions
Published
This submission belongs to the session 01. CHEMBIO.INFO-09: Cheminfo., Chemom., Comput. Quantum Chem. & Bioinfo. Congress München, GR-Chapel Hill, USA, 2023. of the event MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
Published date
19 Apr, 2023
Academic Editor
author-avatarHumbert G. Díaz
Citation
Maider Baltasar Marchueta, Chemoinformatics and Anticancer Drug Prediction, in Proceedings of MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed., 25 December–31 December 2023, MDPI: Basel, Switzerland
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Chemoinformatics and Anticancer Drug Prediction

Maider Baltasar Marchueta 1
1. Departamento de química orgánica e inorgánica, Universidad del País Vasco
Abstract

Computational methods have gone through enormous improvements during the recent years. In this context, different enhancements in chemoinformatic and anticancer drug predictions will be listed as follow.

Keywords
Computational Science
Cancer
Anticancer Drug Prediction
Machine Learning
Manuscript
Chemoinformatics and Anticancer Drug Prediction.pdf
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