EventsMOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
Event submissions
Published
with-doi10.3390/mol2net-09-14348 (registering DOI)
This submission belongs to the session 05. USEDAT.NET: USA-Europe Data Analysis Trends & Complex Networks Mini Congress Series, Coruña, SP-Miami, 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, High-throughput screening methods, in Proceedings of MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed., 25 December–31 December 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-09-14348
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High-throughput screening methods

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

High-throughput screening (HTS), as one of the key techniques in drug discovery, is frequently
used to identify promising drug candidates in a largely automated and cost-effective way. In this report
different methods and applications of HTS will be commented.

Keywords
High-throughput screening methods
Drug Discovery
Computational methods
Manuscript
Nanotechnology Applied to Anticancer Drug Delivery Systems.pdf
Chemoinformatics and Anticancer Drug Prediction
Nanotechnology Applied to Anticancer Drug Delivery Systems