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Li H, Yang W, Xi J, Wang Z, Lu H, Du Z, Li W, Wu B, Jiang S, Peng Y, liu J, liu L, Zhang X, Feng J. Computational study on new natural compound agonists of dopamine receptor. Aging (Albany NY) 2021; 13:16620-16636. [PMID: 34170848 PMCID: PMC8266345 DOI: 10.18632/aging.203180] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 04/29/2021] [Indexed: 04/20/2023]
Abstract
Dopamine receptor, a polypeptide chain composed of 7 hydrophobic transmembrane regions, is a new and vital drug target, especially Dopamine receptor 2(D2). Targeting dopamine receptors, Dopamine receptor agonists are a class of drugs similar in function and structure to dopamine and can directly act on dopamine receptors and activate it. Clinically, Dopamine receptor agonist drugs have achieved significant therapeutic effects on prolactinoma and Parkinson's Disease. In the study, we virtually screened a series of potential effective agonists of Dopamine receptor by computer techniques. Firstly, we used the Molecular Docking (LibDock) step to screen out some molecules that can dock well with the protein. Then, analysis of toxicity prediction and ADME (adsorption, distribution, metabolism and excretion) were carried out. More precise molecular docking (CDOCKER) and 3-Dimensional Quantitative Structure-Activity Relationship Modeling Study(3D-QSAR) pharmacophore generation were implemented to research and explore these compounds' binding mechanism with Dopamine receptor. Last but not least, to assess compound's binding stabilities, we carried out a molecular dynamic analysis. As the results show, two compounds (ZINC000008860530 and ZINC000004096987) from the small molecule database (ZINC database) were potential effective agonists of Dopamine receptor. These two compounds can combine with Dopamine receptor with higher affinity and proved to be no toxic. The cell experiment showed that two compounds could inhibit the proliferation and PRL secretion of MMQ cells (pituitary tumor cells). Thus, this study provided valuable information about Dopamine receptor agonist-based drug discovery. So, this study will benefit patients with prolactinoma and Parkinson's disease a lot.
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Affiliation(s)
- Hui Li
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Wenzhuo Yang
- Clinical College, Jilin University, Changchun, China
| | - Jianxin Xi
- Clinical College, Jilin University, Changchun, China
| | - Zhenhua Wang
- Clinical College, Jilin University, Changchun, China
| | - Han Lu
- Clinical College, Jilin University, Changchun, China
| | - Zhishan Du
- Clinical College, Jilin University, Changchun, China
| | - Weihang Li
- Department of Orthopaedic Surgery, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Bo Wu
- Department of Orthopaedic Surgery, The First Hospital of Jilin University, Changchun, China
| | - Shanshan Jiang
- Chinese Academy of Sciences, Research Group of Evolution and Population Genomics, Institute of Zoology, Beijing, China
| | - Yida Peng
- College of Computer Science and Technology, Jilin University, Changchun, China
| | - Jingyi liu
- Department of Biomedical Informatics, Harvard Medical School, Cambridge, MA 02115, USA
| | - Luwei liu
- Department of Biomedical Informatics, Harvard Medical School, Cambridge, MA 02115, USA
| | - Xiangheng Zhang
- Department of Neurosurgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Jiachun Feng
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
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Sajjan M, Hemmatiyan S, Mazziotti DA. Conductance Switching in an Organometallic Single-Electron Transistor Using Current-Constrained Reduced-Density Matrix Theory. J Phys Chem A 2021; 125:5448-5455. [PMID: 34105977 DOI: 10.1021/acs.jpca.1c02267] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
We report switching of molecular conductance at finite bias in a binuclear organometallic complex and its cation which were previously experimentally analyzed at low voltages to see the signature of Kondo resonance. The variational reduced density matrix theory is applied to show that the system is strongly multireferenced especially in its charged form. We also study the molecular conductance of both forms using recently developed current-constrained two-electron reduced density matrix theory which is capable of handling strong electronic correlation. We compare the results against an uncorrelated 1-electron reduced density matrix version of conductance calculations using Hartree-Fock molecular orbitals. We observe that despite quantitative disagreements, the qualitative trend in the conductance is correctly predicted to be favorable for the cationic partner by both methods. We explain the results using the inherently high density of states for the low-lying excited states in the cationic partner which is also replicable from uncorrelated electronic structure methods. Our results not only indicate that the low-bias conductance trend is maintained even beyond the Kondo regime and produces quantitative agreement with that of the experiment but also identifies important physical markers that are responsible for the high conductance of the charged species.
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Affiliation(s)
- Manas Sajjan
- Department of Chemistry and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, United States
| | - Shayan Hemmatiyan
- Department of Chemistry and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, United States
| | - David A Mazziotti
- Department of Chemistry and The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, United States
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Jiang Y, Wei Y, Wang Y, Ngeywo KT, Hu Y, Wang S, Pang K, Zhang G, Li W, Jiang Y. Perfect Spin Filtering in Homobimetallic Ni Complex with High Tolerance to Structural Changes. J Phys Chem Lett 2019; 10:7842-7849. [PMID: 31779311 DOI: 10.1021/acs.jpclett.9b02954] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
In the theory of ligand fields, depending on the nature and field strength of the surrounding ligands, the central metal ion may exhibit different electronic configurations, low spin (LS) or high spin (HS). Realizing stable spin polarization is one of the main challenges in the field of molecular spintronic devices because of spin switching triggered by an external stimulus. Here, an asymmetric homobimetallic complex has been investigated using the nonequilibrium Green's function and spin density functional theory. Our calculations indicate that the homobimetallic complex can achieve negative differential resistance, rectification effect, and perfect spin filtering transport on the level of an individual molecule. Strikingly, when the molecule is stretched by 0.45 Å, the HS state is still the most stable because of the weak magnetic Ni-Ni interaction. Although its conductivity decreases by 30%, the efficiency of spin filtering remains 100%. These obtained theoretical findings suggest that the homobimetallic complexes hold great potential in molecular spintronics.
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Affiliation(s)
- Yingjie Jiang
- School of Materials Science and Engineering , Harbin University of Science and Technology , Harbin 150080 , China
- School of Physics , Harbin Institute of Technology , Harbin 150001 , China
| | - Yadong Wei
- School of Physics , Harbin Institute of Technology , Harbin 150001 , China
| | - Yuxiu Wang
- School of Materials Science and Engineering , Harbin University of Science and Technology , Harbin 150080 , China
| | | | - Yangyang Hu
- Key Laboratory of Green Chemical Technology of College of Heilongjiang Province, College of Chemical and Environmental Engineering , Harbin University of Science and Technology , Harbin 150080 , China
| | - Songsong Wang
- School of Physics , Harbin Institute of Technology , Harbin 150001 , China
| | - Kaijuan Pang
- School of Physics , Harbin Institute of Technology , Harbin 150001 , China
| | - Guiling Zhang
- School of Materials Science and Engineering , Harbin University of Science and Technology , Harbin 150080 , China
- Key Laboratory of Green Chemical Technology of College of Heilongjiang Province, College of Chemical and Environmental Engineering , Harbin University of Science and Technology , Harbin 150080 , China
| | - Weiqi Li
- School of Physics , Harbin Institute of Technology , Harbin 150001 , China
| | - Yongyuan Jiang
- School of Physics , Harbin Institute of Technology , Harbin 150001 , China
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