Publications by authors named "Dmitriy D Matyushin"

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A GC-MS Database of Nitrogen-Rich Volatile Compounds.
Anastasia Yu Sholokhova, Svetlana A Borovikova, Dmitry S Kosyakov, Dmitriy D Matyushin

Toxics· November 2025

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Uncertainty Quantification and Flagging of Unreliable Predictions in Predicting Mass Spectrometry-Related Properties of Small Molecules Using Machine Learning.
Dmitriy D Matyushin, Ivan A Burov, Anastasia Yu Sholokhova

Int J Mol Sci· December 2024

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Critical evaluation of the NIST retention index database reliability with specific examples.
Dmitriy D Matyushin, Anastasia E Karnaeva, Anastasia Yu Sholokhova

Anal Bioanal Chem· November 2024

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Ready-to-use Models Built Using a Diverse Set of 266 Aroma Compounds for the Estimation of Gas Chromatographic Retention Indices for the 50%-Cyanopropylphenyl-50%-Dimethylpolysiloxane Stationary Phase.
Anastasia Yu Sholokhova, Dmitriy D Matyushin

J Sep Sci· November 2024

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Large-scale statistical study of the dependence of retention index on heating rate in temperature-programmed gas chromatography.
Dmitriy D Matyushin, Anastasia Yu Sholokhova

J Chromatogr A· September 2024

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Quantitative structure-retention relationships for pyridinium-based ionic liquids used as gas chromatographic stationary phases: convenient software and assessment of reliability of the results.
Anastasia Yu Sholokhova, Dmitriy D Matyushin, Mikhail V Shashkov

J Chromatogr A· August 2024

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A general procedure for finding potentially erroneous entries in the database of retention indices.
Mikhail D Khrisanfov, Dmitriy D Matyushin, Andrey S Samokhin

Anal Chim Acta· April 2024

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Intelligent Workflow and Software for Non-Target Analysis of Complex Samples Using a Mixture of Toxic Transformation Products of Unsymmetrical Dimethylhydrazine as an Example.
Anastasia Yu Sholokhova, Dmitriy D Matyushin, Oksana I Grinevich, Svetlana A Borovikova, Aleksey K Buryak

Molecules· April 2023

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How searching against multiple libraries can lead to biased results in GC/MS-based metabolomics.
Andrey S Samokhin, Dmitriy D Matyushin

Rapid Commun Mass Spectrom· February 2023

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Machine learning-assisted non-target analysis of a highly complex mixture of possible toxic unsymmetrical dimethylhydrazine transformation products with chromatography-mass spectrometry.
Anastasia Yu Sholokhova, Oksana I Grinevich, Dmitriy D Matyushin, Aleksey K Buryak

Chemosphere· November 2022

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Deep learning for retention time prediction in reversed-phase liquid chromatography.
Elizaveta S Fedorova, Dmitriy D Matyushin, Ivan V Plyushchenko, Andrey N Stavrianidi, Aleksey K Buryak

J Chromatogr A· February 2022

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A Deep Convolutional Neural Network for Prediction of Peptide Collision Cross Sections in Ion Mobility Spectrometry.
Yulia V Samukhina, Dmitriy D Matyushin, Oksana I Grinevich, Aleksey K Buryak

Biomolecules· December 2021

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Deep Learning Based Prediction of Gas Chromatographic Retention Indices for a Wide Variety of Polar and Mid-Polar Liquid Stationary Phases.
Dmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak

Int J Mol Sci· August 2021

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Deep Learning Driven GC-MS Library Search and Its Application for Metabolomics.
Dmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak

Anal Chem· September 2020

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A peculiar chromatographic selectivity of porous graphitic carbon during the separation of dileucine isomers.
Aleksey L Milyushkin, Dmitriy D Matyushin, Aleksey K Buryak

J Chromatogr A· February 2020

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A deep convolutional neural network for the estimation of gas chromatographic retention indices.
Dmitriy D Matyushin, Anastasia Yu Sholokhova, Aleksey K Buryak

J Chromatogr A· December 2019

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Isomeric derivatives of triazoles as new toxic decomposition products of 1,1-dimethylhydrazine.
Aleksey L Milyushkin, Kirill P Birin, Dmitriy D Matyushin, Alexander V Semeikin, Stepan D Iartsev

Chemosphere· February 2019

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