日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Toward ultimate NMR resolution with deep learning

利用深度学习实现极致的核磁共振分辨率

期刊:Science Advances
影响因子:12.5
doi:10.1126/sciadv.ady7995
Jahangiri, Amir; Agback, Tatiana; Brath, Ulrika; Orekhov, Vladislav
发表日期：2026
文献求助 收藏

Scalable deep learning reconstruction for accelerated multidimensional nuclear magnetic resonance spectroscopy of proteins

可扩展的深度学习重建方法用于加速蛋白质的多维核磁共振波谱分析

期刊:Science Advances
影响因子:12.5
doi:10.1126/sciadv.adw8122
Huang, Yihui; Gao, Yuncheng; Tu, Zhangren; Agback, Tatiana; Orekhov, Vladislav; Hyberts, Sven G; Wagner, Gerhard; Lin, Yanqin; Chen, Zhong; Guo, Di; Qu, Xiaobo
发表日期：2025
文献求助 收藏

Accurate Protein Dynamic Conformational Ensembles: Combining AlphaFold, MD, and Amide (15)N((1)H) NMR Relaxation

精确的蛋白质动态构象集合：结合 AlphaFold、MD 和酰胺 (15)N((1)H) NMR 弛豫

期刊:International Journal of Molecular Sciences
影响因子:4.9
doi:10.3390/ijms26188917
Lesovoy, Dmitry; Roshchin, Konstantin; Sala, Benedetta Maria; Sandalova, Tatyana; Achour, Adnane; Agback, Tatiana; Agback, Peter; Orekhov, Vladislav
发表日期：2025
文献求助 收藏

Visualizing Catalytic Oxidation of Tryptophan by Nanoceria via an Oligonuclear Cerium Oxo-Complex Model

利用寡核铈氧络合物模型可视化纳米氧化铈对色氨酸的催化氧化

期刊:Inorganic Chemistry
影响因子:4.7
doi:10.1021/acs.inorgchem.4c05165
Targonska, Sara; Greenwell, Francesca; Agback, Tatiana; Seisenbaeva, Gulaim A; Kessler, Vadim G
发表日期：2025
文献求助 收藏

Insights into mechanisms of MALT1 allostery from NMR and AlphaFold dynamic analyses

通过核磁共振和AlphaFold动态分析深入了解MALT1变构机制

期刊:Communications Biology
影响因子:5.1
doi:10.1038/s42003-024-06558-y
Wallerstein, Johan; Han, Xiao; Levkovets, Maria; Lesovoy, Dmitry; Malmodin, Daniel; Mirabello, Claudio; Wallner, Björn; Sun, Renhua; Sandalova, Tatyana; Agback, Peter; Karlsson, Göran; Achour, Adnane; Agback, Tatiana; Orekhov, Vladislav
MALT1
发表日期：2024
文献求助 收藏

Natural Silicates Encapsulated Enzymes as Green Biocatalysts for Degradation of Pharmaceuticals

天然硅酸盐包覆酶作为药物降解的绿色生物催化剂

期刊:ACS ES&T Water
影响因子:4.8
doi:10.1021/acsestwater.3c00811
Ani Vardanyan, Tatiana Agback, Oksana Golovko, Quentin Diétre, Gulaim A Seisenbaeva
信号转导
发表日期：2024
文献求助 收藏

Molecular Mechanisms in Metal Oxide Nanoparticle-Tryptophan Interactions

金属氧化物纳米颗粒与色氨酸相互作用的分子机制

期刊:Inorganic Chemistry
影响因子:4.7
doi:10.1021/acs.inorgchem.3c03674
Nefedova, Alexandra; Svensson, Fredric G; Vanetsev, Alexander S; Agback, Peter; Agback, Tatiana; Gohil, Suresh; Kloo, Lars; Tätte, Tanel; Ivask, Angela; Seisenbaeva, Gulaim A; Kessler, Vadim G
发表日期：2024
文献求助 收藏

Resolution enhancement of NMR by decoupling with the low-rank Hankel model

利用低秩汉克尔模型进行解耦以提高核磁共振分辨率

期刊:Chemical Communications
影响因子:4.2
doi:10.1039/d2cc06682c
Qiu, Tianyu; Jahangiri, Amir; Han, Xiao; Lesovoy, Dmitry; Agback, Tatiana; Agback, Peter; Achour, Adnane; Qu, Xiaobo; Orekhov, Vladislav
发表日期：2023
文献求助 收藏

All Domains of SARS-CoV-2 nsp1 Determine Translational Shutoff and Cytotoxicity of the Protein

SARS-CoV-2 nsp1 的所有结构域均决定该蛋白的翻译抑制和细胞毒性。

期刊:Journal of Virology
影响因子:4
doi:10.1128/jvi.01865-22
Ilya Frolov ,Tatiana Agback ,Oksana Palchevska ,Francisco Dominguez ,Alexander Lomzov ,Peter Agback ,Elena I Frolova
SARS-CoV-2
细胞生物学
毒理研究
发表日期：2023
文献求助 收藏

Site-specific recognition of SARS-CoV-2 nsp1 protein with a tailored titanium dioxide nanoparticle - elucidation of the complex structure using NMR data and theoretical calculation

利用定制的二氧化钛纳米颗粒对SARS-CoV-2 nsp1蛋白进行位点特异性识别——通过核磁共振数据和理论计算阐明复合物结构

期刊:Nanoscale Advances
影响因子:4.6
doi:10.1039/d1na00855b
Agback, Peter; Agback, Tatiana; Dominguez, Francisco; Frolova, Elena I; Seisenbaeva, Gulaim A; Kessler, Vadim G
SARS-CoV-2
发表日期：2022
文献求助 收藏