Design, Network Analysis, In silico Modeling and Synthesis of Biologically Active Thiazolo Quinazoline Scaffolds as Anti-tubercular Agent

2017 ◽  
Vol 11 (2) ◽  
Author(s):  
Panneerselvam Theivendren ◽  
Arumugam Subramanian ◽  
Selvaraj Kunjiappan ◽  
Sankarganesh Arunachalam ◽  
Indhumathy Murugan ◽  
...  
Keyword(s):  
Network Analysis ◽  
In Silico ◽  
Biologically Active ◽  
In Silico Modeling

Design, Network Analysis, In Silico Modeling and Synthesis of Benzimidazoles Nanocomposites as Anticancer Agent

2017 ◽  
Vol 2 (7) ◽  
pp. 2341-2347
Author(s):  
Theivendren Panneerselvam ◽  
Subramanian Arumugam ◽  
Mohamed Ashraf Ali ◽  
Kunjiappan Selvaraj ◽  
Murugan Indhumathy ◽  
...  
Keyword(s):  
Network Analysis ◽  
In Silico ◽  
Anticancer Agent ◽  
In Silico Modeling

Design, Network Analysis and In Silico Modeling of Biologically Significant 4-(substituted benzyl)-2-Amino-6-HydroxyPyrimidine-5-Carboxamide Nanoparticles

Drug Research ◽  
2017 ◽  
Vol 67 (05) ◽  
pp. 289-301
Author(s):  
Theivendren Panneerselvam ◽  
Vellaichamy Sivakumar ◽  
Subramanian Arumugam ◽  
Kunjiappan Selvaraj ◽  
Murugan Indhumathy
Keyword(s):  
Wound Healing ◽  
Pain Management ◽  
Network Analysis ◽  
In Silico ◽  
Synthesis Of Nanoparticles ◽  
Wound Model ◽  
In Silico Modeling ◽  
Human Proteins ◽  
Pharmacological Screening ◽  
Wound Healing Activity

Abstract The synthesized 4-(4-hydroxy benzyl)-2-amino-6-hydroxy pyrimidine-5-carboxamide was chosen to perform in silico modeling with identified drug target AGT, TNF, F2 and BCL2L1. The identified human proteins are vital in the pain management and also an important target for the study of wound healing activity. The enzymes were identified by using BioGRID, string database and network analysis through Cytoscape software. The wound healing activity was evaluated by excision wound model. The observed results revealed that, the pyrimidine nanoparticles showed significant wound healing activity compared to standard and synthesized compound. The detailed synthesis of nanoparticles formulation spectral analysis and pharmacological screening data’s were reported. The revealed reports of synthesized analogues and formulated nanoparticles will generate a very good impact to the chemists and research scholars for further investigations in wound healing and pain management.

In Silico Modeling as a Tool to Predict and Characterize Plant Toxicity

2020 ◽  
pp. 367-378
Author(s):  
Charles Oluwaseun Adetunji ◽  
William Peter Mitembo ◽  
Chukwuebuka Egbuna ◽  
G.M. Narasimha Rao
Keyword(s):  
In Silico ◽  
Plant Toxicity ◽  
In Silico Modeling

scholarly journals In silico modeling gas molecules transfer through the biomembrane by kinks-solitons

2021 ◽  
Author(s):  
P. V. Mokrushnikov ◽  
E. V. Lezhnev ◽  
V. Ya. Rudyak
Keyword(s):  
In Silico ◽  
In Silico Modeling ◽  
Gas Molecules
Sign in / Sign up

Export Citation Format

Share Document