Deep neural network model for highly accurate prediction of BODIPYs absorption-Reference-Cited by-同舟云学术

Deep neural network model for highly accurate prediction of BODIPYs absorption

Published:2022-02 Issue: Volume:267 Page:120577
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Ksenofontov Alexander A.,Lukanov Michail M.,Bocharov Pavel S.,Berezin Michail B.,Tetko Igor V.

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference38 articles.

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2. Recent advances in the application of BODIPY in bioimaging and chemosensing;Kaur;J. Mater. Chem. C,2019

3. QSAR without borders;Muratov;Chem. Soc. Rev.,2020

4. Application of Methodology of Artificial Neural Networks for Predicting the Properties of Sophisticated Molecular Systems: Prediction of the Long-Wave Absorption Band Position for Symmetric Cyanine Dyes;Baskin;Doklady Akademii Nauk,1997

5. A renaissance of neural networks in drug discovery;Baskin;Expert Opin. Drug Discov.,2016

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