Prediction of Sensor Ability Based on Chemical Formula: Possible Approaches and Pitfalls

Prediction of Sensor Ability Based on Chemical Formula: Possible Approaches and Pitfalls

This review presents an analysis of different algorithms for predicting the sensory ability of organic compounds towards metal ions based on their chemical formula. A database of chemosensors containing information on various classes of suitable compounds, including dipyrromethenes, BODIPY, Schiff b...

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Bibliographic Details
Main Authors: Daniil N. Yarullin, Maksim N. Zavalishin, George A. Gamov, Michail M. Lukanov, Alexander A. Ksenofontov, Natalia A. Bumagina, Elena V. Antina
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Inorganics
Subjects:
sensor
fluorescence
chemoinformatics
Levenshtein
Tanimoto
Euclidean distance
Online Access:https://www.mdpi.com/2304-6740/11/4/158

Internet

https://www.mdpi.com/2304-6740/11/4/158

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