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Ye Q, Zhao Y, Li X, Zhao Y, Fu X, Zhang S, Yang Z, Zhang L. Accounting Conformational Dynamics into Structural Modeling Reflected by Cryo-EM with Deep Learning. Comb Chem High Throughput Screen 2023; 26:449-458. [PMID: 35570549 DOI: 10.2174/1386207325666220514143909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/12/2022] [Accepted: 03/03/2022] [Indexed: 11/22/2022]
Abstract
With the continuous development of structural biology, the requirement for accurate threedimensional structures during functional modulation of biological macromolecules is increasing. Therefore, determining the dynamic structures of bio-macromolecular at high resolution has been a highpriority task. With the development of cryo-electron microscopy (cryo-EM) techniques, the flexible structures of biomacromolecules at the atomic resolution level grow rapidly. Nevertheless, it is difficult for cryo-EM to produce high-resolution dynamic structures without a great deal of manpower and time. Fortunately, deep learning, belonging to the domain of artificial intelligence, speeds up and simplifies this workflow for handling the high-throughput cryo-EM data. Here, we generalized and summarized some software packages and referred algorithms of deep learning with remarkable effects on cryo-EM data processing, including Warp, user-free preprocessing routines, TranSPHIRE, PARSED, Topaz, crYOLO, and self-supervised workflow, and pointed out the strategies to improve the resolution and efficiency of three-dimensional reconstruction. We hope it will shed some light on the bio-macromolecular dynamic structure modeling with the deep learning algorithms.
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Affiliation(s)
- Qiushi Ye
- MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China
| | - Yizhen Zhao
- MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China
| | - Xuhua Li
- MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China
| | - Yimin Zhao
- MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China
| | - Xinyue Fu
- MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China
| | - Shengli Zhang
- MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China
| | - Zhiwei Yang
- MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China
| | - Lei Zhang
- MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, School of Physics, Xi'an Jiaotong University, Xi'an 710049, China
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Ge H, Jiang Z, Li B, Xu P, Wu H, He X, Xu W, Huang Z, Xiong T, Wang P, Lv G, Chen S. Dendrobium officinalis Six Nostrum Promotes Intestinal Urate Underexcretion via Regulations of Urate Transporter Proteins in Hyperuricemic Rats. Comb Chem High Throughput Screen 2023; 26:848-861. [PMID: 36043791 DOI: 10.2174/1386207325666220830141531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 06/18/2022] [Accepted: 06/29/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Dendrobium officinalis Six nostrum (DOS) can be prepared by adding Dendrobium officinalis into Simiao Wan in accordance with the Traditional Chinese Medicine (TCM) theory and other previous findings. Our previous study has shown that DOS treatment can lead to a marked decrease in Serum UA (SUA) levels. The purpose of this study was to explore the effects of DOS on intestinal UA excretion in hyperuricemia and its underlying mechanisms. METHODS DOS was administered intragastrically to hyperuricemic rats induced by oral administration of HX and PO for 7 weeks. The SUA level, fecal UA and XOD activity were detected. The expressions of UA transporters (ABCG2, GLUT9, and PDZK1), CNT2, and tight junction proteins (ZO- 1 and claudin-1) in the intestine were assayed by IHC staining. The serum LPS and DAO levels were detected by ELISA kits. The intestinal histological changes were assessed using H&E staining. RESULTS DOS treatment decreased the SUA level while markedly increasing the fecal UA level by 28.85%~35.72%. Moreover, DOS effectively up-regulated the expression of ABCG2 and PDZK1 and down-regulated the expression of GLUT9 in the intestine. DOS markedly decreased the serum LPS level by 21.4%~32.1% and DAO activity by 12.3%~19.7%, which in turn ameliorated the intestinal pathology. As a result, it could protect intestinal barrier function, as indicated by the increase of villus height (V), the reduction of the crypt depth (C), and the elevation of the V/C ratio. It also increased the expression of ZO-1 and claudin-1. In addition, DOS significantly down-regulated the expression of CNT2, which reduced purine nucleoside transportation from the intestine into the blood, and inhibited XOD activity, leading to a decrease in UA production. CONCLUSION DOS exerted anti-hyperuricemic effects via regulation of intestinal urate transporters and could protect intestinal barrier function by restoring the expressions of ZO-1 and claudin-1.
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Affiliation(s)
- Hongzhang Ge
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Zetian Jiang
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Bo Li
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Peiyao Xu
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Hansong Wu
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Xinglishang He
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Wanfeng Xu
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Zhi Huang
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Taoxiu Xiong
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
| | - Ping Wang
- College of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, China
| | - Guiyuan Lv
- College of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, 310053, China
| | - Suhong Chen
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China
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