Automated Author ProfileLi, Jiachen
Li, Jiachen
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 8.5 (sum of 14 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
excitation energies of point defect systems and double excitation energies of molecular systems using aug-cc-pVQZ basis set obtained from ppRPA, NTOs of ppRPA based on different functionals.
Authors
- Yu, Jincheng ;
- Li, Jiachen ;
- Zhu, Tianyu ;
- Yang, Weitao
Supporting Information: Energy-Specific Bethe-Salpeter Equation Implementation for Efficient Optical Spectrum Calculations
Authors
- Hillenbrand, Christopher ;
- Li, Jiachen ;
- Zhu, Tianyu
Supporting Information: Energy-Specific Bethe-Salpeter Equation Implementation for Efficient Optical Spectrum Calculations
Authors
- Hillenbrand, Christopher ;
- Li, Jiachen ;
- Zhu, Tianyu
excitation energies of point defect systems and double excitation energies of molecular systems using aug-cc-pVQZ basis set obtained from ppRPA, NTOs of ppRPA based on different functionals.
Authors
- Yu, Jincheng ;
- Li, Jiachen ;
- Zhu, Tianyu ;
- Yang, Weitao
The dataset contains the all source data of this manuscript.
Authors
- Zhang, Shuo ;
- Shang, Hang ;
- Han, Shuo ;
- Li, Jiachen ;
- Peng, Xuefang ;
- Wu, Yongxiang ;
- Yang, Xin ;
- Leng, Yu ;
- Wang, Fengze ;
- Cui, Ning ;
- Xu, Lingjie ;
- Zhang, Hongkai ;
- Guo, Yu ;
- Xu, Xiaoyu ;
- Zhang, Nan ;
- Liu, Wei ;
- Li, Hao
The dataset contains the all source data of this manuscript.
Authors
- Zhang, Shuo ;
- Shang, Hang ;
- Han, Shuo ;
- Li, Jiachen ;
- Peng, Xuefang ;
- Wu, Yongxiang ;
- Yang, Xin ;
- Leng, Yu ;
- Wang, Fengze ;
- Cui, Ning ;
- Xu, Lingjie ;
- Zhang, Hongkai ;
- Guo, Yu ;
- Xu, Xiaoyu ;
- Zhang, Nan ;
- Liu, Wei ;
- Li, Hao
The dataset contains the all source data of this manuscript.
Authors
- Zhang, Shuo ;
- Shang, Hang ;
- Han, Shuo ;
- Li, Jiachen ;
- Peng, Xuefang ;
- Wu, Yongxiang ;
- Yang, Xin ;
- Leng, Yu ;
- Wang, Fengze ;
- Cui, Ning ;
- Xu, Lingjie ;
- Zhang, Hongkai ;
- Guo, Yu ;
- Xu, Xiaoyu ;
- Zhang, Nan ;
- Liu, Wei ;
- Li, Hao
We developed an efficient active-space particle-particle random phase approximation (ppRPA) approach to calculate accurate charge-neutral excitation energies of molecular systems. The active-space ppRPA approach constrains both indexes in particle and hole pairs in the ppRPA matrix, which only selects frontier orbitals with dominant contributions to low-lying excitation energies. It employs truncation in both orbital indexes in the particle-particle and the hole-hole space. The resulting matrix, the eigenvalues of which are excitation energies, has a dimension that is independent of the size of the systems. The computational effort for the excitation energy calculation, therefore, scales linearly with system size, beyond the ground state calculation of (N-2)-electron system, where N is the electron number of the molecule. With the active space consisting of 30 occupied and 30 virtual orbitals, the active-space ppRPA approach predicts excitation energies of valence, charge-transfer, Rydberg, double and diradical excitations with the mean absolute errors (MAEs) smaller than 0.03 eV compared with the full-space ppRPA results. As a side product, we also applied the active-space ppRPA approach in the renormalized singles (RS) T-matrix approach. Combining the non-interacting pair approximation that approximates the contribution to the self-energy outside the active space, the active-space GRSTRS@PBE approach predicts accurate absolute and relative core-level binding energies with the MAE around 1.58 eV and 0.3 eV, respectively. The developed linear scaling calculation of excitation energies is promising for applications to large and complex systems.
Authors
- Jincheng Yu ;
- Li, Jiachen ;
- Yang, Weitao ;
- Zehua, Chen
The global dissemination of the mobilized colistin resistance gene, mcr-1, threatens human health. Recent studies by our group and others have shown that the withdrawal of colistin as a feed additive dramatically reduced the prevalence of mcr-1. Although it is accepted that the rapid reduction in mcr-1 prevalence may have resulted, to some extent, from the toxic effects of MCR-1, the detailed mechanism remains unclear. Here, we found that MCR-1 damaged the outer membrane (OM) permeability in Escherichia coli and Klebsiella pneumonia and that this event was associated with MCR-1-mediated cell shrinkage and death during the stationary phase. Notably, the capacity of MCR-1-expressing cells for recovery from the stationary phase under improved conditions was reduced in a time-dependent manner. We also showed that mutations in the potential lipid-A-binding pocket of MCR-1, but not in the catalytic domain, restored OM permeability and cell viability. During the stationary phase, PbgA, a sensor of periplasmic lipid-A and LpxC production that performed the first step in lipid-A synthesis, was reduced after MCR-1 expression, suggesting that MCR-1 disrupted lipid homeostasis. Consistent with this, the overexpression of LpxC completely reversed the MCR-1-induced OM permeability defect. We propose that MCR-1 causes lipid remodelling that results in an OM permeability defect, thus compromising the viability of Gram-negative bacteria. These findings extended our understanding of the effect of MCR-1 on bacterial physiology and provided a potential strategy for eliminating drug-resistant bacteria.
Authors
- Feng, Siyuan ;
- Liang, Wanfei ;
- Li, Jiachen ;
- Chen, Yong ;
- Zhou, Dianrong ;
- Liang, Lujie ;
- Lin, Daixi ;
- Li, Yaxin ;
- Zhao, Hui ;
- Du, Huihui ;
- Dai, Min ;
- Qin, Li-Na ;
- Bai, Fan ;
- Doi, Yohei ;
- Zhong, Lan-Lan ;
- Tian, Guo-bao
The global dissemination of the mobilized colistin resistance gene, mcr-1, threatens human health. Recent studies by our group and others have shown that the withdrawal of colistin as a feed additive dramatically reduced the prevalence of mcr-1. Although it is accepted that the rapid reduction in mcr-1 prevalence may have resulted, to some extent, from the toxic effects of MCR-1, the detailed mechanism remains unclear. Here, we found that MCR-1 damaged the outer membrane (OM) permeability in Escherichia coli and Klebsiella pneumonia and that this event was associated with MCR-1-mediated cell shrinkage and death during the stationary phase. Notably, the capacity of MCR-1-expressing cells for recovery from the stationary phase under improved conditions was reduced in a time-dependent manner. We also showed that mutations in the potential lipid-A-binding pocket of MCR-1, but not in the catalytic domain, restored OM permeability and cell viability. During the stationary phase, PbgA, a sensor of periplasmic lipid-A and LpxC production that performed the first step in lipid-A synthesis, was reduced after MCR-1 expression, suggesting that MCR-1 disrupted lipid homeostasis. Consistent with this, the overexpression of LpxC completely reversed the MCR-1-induced OM permeability defect. We propose that MCR-1 causes lipid remodelling that results in an OM permeability defect, thus compromising the viability of Gram-negative bacteria. These findings extended our understanding of the effect of MCR-1 on bacterial physiology and provided a potential strategy for eliminating drug-resistant bacteria.
Authors
- Feng, Siyuan ;
- Liang, Wanfei ;
- Li, Jiachen ;
- Chen, Yong ;
- Zhou, Dianrong ;
- Liang, Lujie ;
- Lin, Daixi ;
- Li, Yaxin ;
- Zhao, Hui ;
- Du, Huihui ;
- Dai, Min ;
- Qin, Li-Na ;
- Bai, Fan ;
- Doi, Yohei ;
- Zhong, Lan-Lan ;
- Tian, Guo-bao