Jiale Peng
Research Subjects
Jiale Peng has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- Zhen Liu
East China University of Science and Technology
4 shared publications - Li Sun
School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China
3 shared publications - Zuoxiang Zeng
School of Chemical Engineering, East China University of Science and Technology, 200237 Shanghai, China
2 shared publications Dian Jin
School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, China
1 shared publicationJiale Niu
School of Chemical Engineering
1 shared publication- Li Zhang
University of California San Francisco 2 Division of Hematology/Oncology, Department of Medicine San Francisco, California
1 shared publication
Latest Publications
- 13 May 2025
- Published by American Chemical Society (ACS) in ACS Catalysis
- Vol. 15 (11) , 8954-8965
Overcoming Conformational Complexity to Elucidate Selective Ethylene Tetramerization Behavior
- 13 May 2025
- Published by American Chemical Society (ACS) in ACS Catalysis
- Vol. 15 (11) , 8954-8965
Overcoming Conformational Complexity to Elucidate Selective Ethylene Tetramerization Behavior
- 19 March 2025
- Published by American Chemical Society (ACS) in Organometallics
- Vol. 44 (7) , 798-801
Flash Communication: Mononuclear Metallacycle Mechanism in Binuclear Cr/PNCNP Catalyst May Trigger the Switch from Ethylene Trimerization into Tetramerization
- 19 March 2025
- Published by American Chemical Society (ACS) in Organometallics
- Vol. 44 (7) , 798-801
Flash Communication: Mononuclear Metallacycle Mechanism in Binuclear Cr/PNCNP Catalyst May Trigger the Switch from Ethylene Trimerization into Tetramerization
- 3 November 2024
- Published by American Chemical Society (ACS) in ACS Sustainable Chemistry & Engineering
- Vol. 12 (46) , 17035-17043
Insights into the Role of Deep Eutectic Solvents in Sorbitol Dehydration: A Combined Experimental and Molecular Dynamics Study
- 3 November 2024
- Published by American Chemical Society (ACS) in ACS Sustainable Chemistry & Engineering
- Vol. 12 (46) , 17035-17043
Insights into the Role of Deep Eutectic Solvents in Sorbitol Dehydration: A Combined Experimental and Molecular Dynamics Study
- 4 May 2018
- Published by Taylor & Francis in Journal of Receptors and Signal Transduction
- Vol. 38 (3) , 246-255
Pharmacophore modeling, molecular docking and molecular dynamics studies on natural products database to discover novel skeleton as non-purine xanthine oxidase inhibitors
Gout is a common inflammatory arthritis caused by the deposition of urate crystals within joints. It is increasingly in prevalence during the past few decades as shown by the epidemiological survey results. Xanthine oxidase (XO) is a key enzyme to transfer hypoxanthine and xanthine to uric acid, whose overproduction leads to gout. Therefore, inhibiting the activity of xanthine oxidase is an important way to reduce the production of urate. In the study, in order to identify the potential natural products targeting XO, pharmacophore modeling was employed to filter databases. Here, two methods, pharmacophore based on ligand and pharmacophore based on receptor-ligand, were constructed by Discovery Studio. Then GOLD was used to refine the potential compounds with higher fitness scores. Finally, molecular docking and dynamics simulations were employed to analyze the interactions between compounds and protein. The best hypothesis was set as a 3D query to screen database, returning 785 and 297 compounds respectively. A merged set of the above 1082 molecules was subjected to molecular docking, which returned 144 hits with high-fitness scores. These molecules were clustered in four main kinds depending on different backbones. What is more, molecular docking showed that the representative compounds established key interactions with the amino acid residues in the protein, and the RMSD and RMSF of molecular dynamics results showed that these compounds can stabilize the protein. The information represented in the study confirmed previous reports. And it may assist to discover and design new backbones as potential XO inhibitors based on natural products.
- 4 May 2018
- Published by Taylor & Francis in Journal of Receptors and Signal Transduction
- Vol. 38 (3) , 246-255
Pharmacophore modeling, molecular docking and molecular dynamics studies on natural products database to discover novel skeleton as non-purine xanthine oxidase inhibitors
Gout is a common inflammatory arthritis caused by the deposition of urate crystals within joints. It is increasingly in prevalence during the past few decades as shown by the epidemiological survey results. Xanthine oxidase (XO) is a key enzyme to transfer hypoxanthine and xanthine to uric acid, whose overproduction leads to gout. Therefore, inhibiting the activity of xanthine oxidase is an important way to reduce the production of urate. In the study, in order to identify the potential natural products targeting XO, pharmacophore modeling was employed to filter databases. Here, two methods, pharmacophore based on ligand and pharmacophore based on receptor-ligand, were constructed by Discovery Studio. Then GOLD was used to refine the potential compounds with higher fitness scores. Finally, molecular docking and dynamics simulations were employed to analyze the interactions between compounds and protein. The best hypothesis was set as a 3D query to screen database, returning 785 and 297 compounds respectively. A merged set of the above 1082 molecules was subjected to molecular docking, which returned 144 hits with high-fitness scores. These molecules were clustered in four main kinds depending on different backbones. What is more, molecular docking showed that the representative compounds established key interactions with the amino acid residues in the protein, and the RMSD and RMSF of molecular dynamics results showed that these compounds can stabilize the protein. The information represented in the study confirmed previous reports. And it may assist to discover and design new backbones as potential XO inhibitors based on natural products.