2021
DOI: 10.9734/jpri/2021/v33i30a31612
|View full text |Cite
|
Sign up to set email alerts
|

Advancing Computer-Aided Drug Discovery (ACADD): In-Silico Approach towards Nuclear Receptors by Big Data

Abstract: The progression of drug discovery and development is time consuming and costly. Advancing Computer-aided drug discovery (ACADD) is an effective tool in reducing the time and cost of research and development. This study deals with the evaluation of the nuclear receptors for the in-silico biological activity using ligand betulinic acid and dexamethasone. Docking results showed that binding energy was -74.190 kcal/mol when compared with that of the standard (-51.551 kcal/mol). Interaction energy -44.16 & -25.… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 7 publications
0
1
0
Order By: Relevance
“…UCSF Chimera is a program for the interactive visualisation and analysis of molecular structures and related data, including density maps, trajectories, and sequence alignments. It is available in both free (non-commercial) and commercial forms [7,9].…”
Section: Chimeramentioning
confidence: 99%
“…UCSF Chimera is a program for the interactive visualisation and analysis of molecular structures and related data, including density maps, trajectories, and sequence alignments. It is available in both free (non-commercial) and commercial forms [7,9].…”
Section: Chimeramentioning
confidence: 99%