Molecular modeling approach for designing of amino‐derived anti‐Alzheimer agents: A computational study. (5th May 2020)
- Record Type:
- Journal Article
- Title:
- Molecular modeling approach for designing of amino‐derived anti‐Alzheimer agents: A computational study. (5th May 2020)
- Main Title:
- Molecular modeling approach for designing of amino‐derived anti‐Alzheimer agents: A computational study
- Authors:
- Raza, Muhammad Asam
Fatima, Kiran - Abstract:
- Abstract: Theoretical chemistry involves number of steps for drug designing, which are cost and time effective. In order to remove these barriers in drug designing, computational studies are helpful. Computer‐assisted molecular modeling is valuable in drug designing. Nowadays, molecular docking is routinely used for prediction of protein−ligand interactions and to help in selecting potent molecules as a part of virtual screening of large databases. In this piece of work, we have proposed eight amino‐based estearses (AChE and BChE) inhibitors (dithiocarbamates). The hypothetical structures were optimized via density functional theory (DFT) studies using B3LYP basis set and calculated their different physical properties, which stated that these compounds may be prepared in the wet lab. The energy gap between HOMO and LUMO was ranged from 0.1517 to 0.1789. The proposed molecules were also docked with MOE, and it was depicted from docking results that they are moderate inhibitors against targeted enzymes. ADMET studies were also done for these compounds in order to check their pharmacological parameters. All these results suggested that dithiocarbamates may be good inhibitors in future. Abstract : Dithiocarbamates are amino derived compounds with great importance due to their applications. Eight amino based inhibitor of AChE and BChE were proposed and their structures were optimized along DFT calculations. The In‐silico studies in context of docking and ADMET were also performedAbstract: Theoretical chemistry involves number of steps for drug designing, which are cost and time effective. In order to remove these barriers in drug designing, computational studies are helpful. Computer‐assisted molecular modeling is valuable in drug designing. Nowadays, molecular docking is routinely used for prediction of protein−ligand interactions and to help in selecting potent molecules as a part of virtual screening of large databases. In this piece of work, we have proposed eight amino‐based estearses (AChE and BChE) inhibitors (dithiocarbamates). The hypothetical structures were optimized via density functional theory (DFT) studies using B3LYP basis set and calculated their different physical properties, which stated that these compounds may be prepared in the wet lab. The energy gap between HOMO and LUMO was ranged from 0.1517 to 0.1789. The proposed molecules were also docked with MOE, and it was depicted from docking results that they are moderate inhibitors against targeted enzymes. ADMET studies were also done for these compounds in order to check their pharmacological parameters. All these results suggested that dithiocarbamates may be good inhibitors in future. Abstract : Dithiocarbamates are amino derived compounds with great importance due to their applications. Eight amino based inhibitor of AChE and BChE were proposed and their structures were optimized along DFT calculations. The In‐silico studies in context of docking and ADMET were also performed on the proposed inhibitors. It was concluded from all studies that such type of compounds may be good therapeutic agents in the future. … (more)
- Is Part Of:
- Journal of physical organic chemistry. Volume 33:Number 10(2020)
- Journal:
- Journal of physical organic chemistry
- Issue:
- Volume 33:Number 10(2020)
- Issue Display:
- Volume 33, Issue 10 (2020)
- Year:
- 2020
- Volume:
- 33
- Issue:
- 10
- Issue Sort Value:
- 2020-0033-0010-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-05-05
- Subjects:
- ADMET -- computational studies -- dithiocarbamates -- enzyme inhibitors
Chemistry, Physical organic -- Periodicals
547.1 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/poc.4076 ↗
- Languages:
- English
- ISSNs:
- 0894-3230
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5036.211000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 14257.xml