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П. Д. Тимкин

Observed names: P. D Timkin, P. D. Timkin, Pavel D. Timkin, Pavel Dmitrievich Timkin, Pavel Timkin, Павел Дмитриевич Тимкин, Тимкин Павел Дмитриевич, Тимкин, Павел Дмитриевич
ORCID: 0000-0001-6655-1049
Observed ORCID: 0000-0001-6655-1049
OpenAlex ID: A5064498797
Molecular Interactions Between ZnO Nanoparticles and Liver Target Proteins Revealed by Molecular Docking Method
2024 · K. Yu. Kirichenko, I. E. Pamirsky, et al. · BioNanoScience · 11
The eusocial non-code: Unveiling the impact of noncoding RNAs on Hymenoptera eusocial evolution
2024 · Egor Lebedev, Daniil Smutin, et al. · Non-coding RNA Research · 6
Selection of potential ligands for TRPM8 using deep neural networks and intermolecular docking
2021 · E. A. Borodin, A. P. Chupalov, et al. · Bulletin physiology and pathology of respiration · 3
Study of molecular mechanisms of herbicide binding t o target proteins of weeds by in silico methods
2023 · I. E Pamirsky, P. D Timkin, et al. · Rossiiskaia selskokhoziaistvennaia nauka · 2
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TRPM8 ligand modification
2022 · P. D. Timkin, E. A. Timofeev, et al. · Bulletin physiology and pathology of respiration · 2
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Effect of partial cotyledon damage on soybean seed viability and sample suitability PCR assay
2026 · Алена Андреевна Иваний, Андрей Андреевич Пензин, et al. · Vestnik Altajskogo gosudarstvennogo agrarnogo universiteta · 1
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Differential analysis of glycinin and β-conglycinin gene expression in seeds of cultivated soybean varieties at different periods of their maturation
2025 · Andrey A. Penzin, Pavel D. Timkin, et al. · Siberian Journal of Life Sciences and Agriculture · 1
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A Study on the Molecular Mechanisms of Herbicide Binding with Target Proteins in Weeds Using In Silico Methods
2023 · I. E. Pamirsky, P. D. Timkin, et al. · Russian Agricultural Sciences · 1
The strategy for searching of potential ligands for TRPM8 based on use of Deep Neural Networks and Intermolecular Docking
2021 · Evgeniy A. Borodin, Nalalya Yu. Leusova, et al. · European Respiratory Journal · 1
Molecular genotyping of E1-E4 genes and assessment of their predictive significance for breeding early-maturing soybean (Glycine max (L.) Merr) varieties
2026 · Pavel D. Timkin, Polina M. Linskaya, et al. · Siberian Journal of Life Sciences and Agriculture
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Оценка Устойчивости Сортов Сои К Cercospora Sojina С Помощью Микросателлитных Маркеров (satt244, Satt529 И Satt565)
2026 · Тимкин, Павел Дмитриевич, Линская, Полина Михайловна, et al. · National repository of research data in engineering
Analysis of differential expression of glycinin and β-conglycinin genes in Europeanand Canadian soybean varieties
2026 · Катрушенко Анастасия Андреевна, Иваний Алена Андреевна, et al. · CyberLeninK (CyberLeninka)
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In silico исследование молекулярных механизмов токсичности наночастиц оксидов железа на Heterosigma Akashiwo и Porphyridium Purpureum
2025 · Константин Юрьевич Кириченко, Игорь Эдуардович Памирский, et al. · Industrial processes and technologies
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A Two-Step Strategy for the Search for Ligands for Target Proteins
2021 · Eugene Alexandrovich Borodin, Natalya Yurievna Leusova, et al. · International Journal of Pharmaceutical and Phytopharmacological Research
Analysis and Selection of Ligands for Trpm8 Using Hard Docking and Machine Learning
2020 · Pavel Timkin, E Timofeev, et al. · International Scientific Conference "System Analysis in Medicine" (SAM)
Selection of Potential Ligands for TRPM8 Using Deep Neural Networks and Intermolecular Docking by the "AUTODOCK" Software
2020 · Pavel D. Timkin, Alexander P. Chupalov, et al. · Science and Artificial Intelligence Conference (S.A.I.ence)
Предсказание потенциальных лигандов для TRPM8 методами машинного обучения и межмолекулярного докинга
2020 · П. Д. Тимкин, Э. А. Тимофеев, et al. · Международная научно-практическая конференция «Актуальные проблемы науки и образования в условиях современных вызовов»
Works count: 17
Citation count: 28
H-index: 3
I10-index: 1
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