scholarly journals Systematic review on role of structure based drug design (SBDD) in the identification of anti-viral leads against SARS-Cov-2

2021 ◽  
Vol 2 ◽  
pp. 100026
Author(s):  
Nilesh Gajanan Bajad ◽  
Swetha Rayala ◽  
Gopichand Gutti ◽  
Anjali Sharma ◽  
Meenakshi Singh ◽  
...  
ACS Omega ◽  
2019 ◽  
Vol 4 (4) ◽  
pp. 6703-6708
Author(s):  
Scott D. Bembenek ◽  
Hariharan Venkatesan ◽  
Hillary M. Peltier ◽  
Mark D. Rosen ◽  
Terrance D. Barrett ◽  
...  

2007 ◽  
Vol 12 (17-18) ◽  
pp. 725-731 ◽  
Author(s):  
Kaushik Raha ◽  
Martin B. Peters ◽  
Bing Wang ◽  
Ning Yu ◽  
Andrew M. Wollacott ◽  
...  

2018 ◽  
Vol 19 (7) ◽  
pp. 2105 ◽  
Author(s):  
Xiaojing Yuan ◽  
Yechun Xu

G protein-coupled receptors represent the largest family of human membrane proteins and are modulated by a variety of drugs and endogenous ligands. Molecular modeling techniques, especially enhanced sampling methods, have provided significant insight into the mechanism of GPCR–ligand recognition. Notably, the crucial role of the membrane in the ligand-receptor association process has earned much attention. Additionally, docking, together with more accurate free energy calculation methods, is playing an important role in the design of novel compounds targeting GPCRs. Here, we summarize the recent progress in the computational studies focusing on the above issues. In the future, with continuous improvement in both computational hardware and algorithms, molecular modeling would serve as an indispensable tool in a wider scope of the research concerning GPCR–ligand recognition as well as drug design targeting GPCRs.


Molecules ◽  
2021 ◽  
Vol 26 (7) ◽  
pp. 1917
Author(s):  
Babiker M. EH-Haj

Metabolic reactions that occur at alkylamino moieties may provide insight into the roles of these moieties when they are parts of drug molecules that act at different receptors. N-dealkylation of N,N-dialkylamino moieties has been associated with retaining, attenuation or loss of pharmacologic activities of metabolites compared to their parent drugs. Further, N-dealkylation has resulted in clinically used drugs, activation of prodrugs, change of receptor selectivity, and providing potential for developing fully-fledged drugs. While both secondary and tertiary alkylamino moieties (open chain aliphatic or heterocyclic) are metabolized by CYP450 isozymes oxidative N-dealkylation, only tertiary alkylamino moieties are subject to metabolic N-oxidation by Flavin-containing monooxygenase (FMO) to give N-oxide products. In this review, two aspects will be examined after surveying the metabolism of representative alkylamino-moieties-containing drugs that act at various receptors (i) the pharmacologic activities and relevant physicochemical properties (basicity and polarity) of the metabolites with respect to their parent drugs and (ii) the role of alkylamino moieties on the molecular docking of drugs in receptors. Such information is illuminative in structure-based drug design considering that fully-fledged metabolite drugs and metabolite prodrugs have been, respectively, developed from N-desalkyl and N-oxide metabolites.


2017 ◽  
Vol 6 (1) ◽  
pp. 1433
Author(s):  
Vijay Kumar Sehgal ◽  
Supratik Das ◽  
Anand Vardhan

Designing of drugs and their development are a time and resource consuming process. There is an increasing effort to introduce the role of computational approach to chemical and biological space in order to organise the design and development of drugs and their optimisation. The role of Computer Aided Drug Designing (CADD) are nowadays expressed in Nanotechnology, Molecular biology, Biochemistry etc. It is a diverse discipline where various forms of applied and basic researches are interlinked with each other. Computer aided or in Silico drug designing is required to detect hits and leads. Optimise/ alter the absorption, distribution, metabolism, excretion and toxicity profile and prevent safety issues. Some commonly used computational approaches include ligand-based drug design, structure-based drug design, and quantitative structure-activity and quantitative structure-property relationships. In today's world, due to an avid interest of regulatory agencies and, even pharmaceutical companies in advancing drug discovery and development process by computational means, it is expected that its power will grow as technology continues to evolve. The main purpose of this review article is to give a brief glimpse about the role Computer Aided Drug Design has played in modern medical science and the scope it carries in the near future, in the service of designing newer drugs along with lesser expenditure of time and money.


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