Machine learning approach for predicting the yield of pyrroles and dipyrromethanes condensation reactions with aldehydes-Reference-Cited by-同舟云学术

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Machine learning approach for predicting the yield of pyrroles and dipyrromethanes condensation reactions with aldehydes

Published:2023-12 Issue: Volume:74 Page:102173
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Makarov Dmitry M.,Lukanov Michail M.,Rusanov Aleksey I.,Mamardashvili Nugzar Zh.,Ksenofontov Alexander A.

Funder

Ministry of Education and Science of the Russian Federation

Publisher

Elsevier BV

Subject

Modeling and Simulation,General Computer Science,Theoretical Computer Science

Reference66 articles.

1. In silico prediction of physicochemical properties of environmental chemicals using molecular fingerprints and machine learning;Zang;J. Chem. Inf. Model.,2017

2. Deep learning for deep chemistry: optimizing the prediction of chemical patterns;Cova;Front. Chem.,2019

3. Artificial intelligence to deep learning: machine intelligence approach for drug discovery;Gupta;Mol. Divers.,2021

4. Machine learning property prediction for organic photovoltaic devices;Meftahi;npj Comput. Mater.,2020

5. Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties;Menden;PLoS One,2013

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1. Review of advances in development of fluorescent BODIPY probes (chemosensors and chemodosimeters) for cation recognition;Coordination Chemistry Reviews;2024-04

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