Muruhan, Sridevi (59564498600) and Elumalai, Subalashmi (59271739300) and Palanirajan, Deivanai (59273260900) and Elangovan, Elanchezian (59272250500) and Selvaraj, Aravind (59270203200) and Nirmala, C. (57200373442) (2024) In Silico Homology Modeling to Identify the Anti-Inflammatory Proteins from Raphanus sativus and Brassica oleracea.
Full text not available from this repository.Abstract
Cheminformatics is an emerging computational analysis approach that focuses on data processing on chemical and molecular structures of compounds. The in silico technique entails its applications in molecular modeling and drug discovery. This computational method can be used in chemical, biotechnological, and pharmaceutical companies for novel drug design. Radish and cabbage, the vegetables of the Brassicaceae family are an important source of medicinal compounds for the treatment of gastrointestinal, biliary, hepatic, urinary, and respiratory disorders, as well as in cardiovascular diseases such as hypertension. They also belong to the group of vegetables high in vitamin C and antioxidant eventuality. In this study, the anti-inflammatory proteins of Raphanus sativus and Brassica oleracea were identified using bioinformatics tools. Expasy Protparam server was utilized for primary structure prediction and SWISS-MODEL has been utilized for the prediction of 3D assembly. SOSUI tool was used to characterize whether the protein is soluble or transmembrane in nature. Ramachandran plot showed the distribution and arrangement of the main chain bond lengths angles of proteins. Thus, in silico homology modeling approach aids in the study of protein functions at molecular or structural levels and development of anti-inflammatory drugs. © 2024 Elsevier B.V., All rights reserved.
| Item Type: | Article |
|---|---|
| Subjects: | Agricultural and Biological Sciences > Botany |
| Divisions: | Engineering and Technology > Vinayaka Mission's Kirupananda Variyar Engineering College, Salem > Bio-technology |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 10 Dec 2025 15:53 |
| URI: | https://vmuir.mosys.org/id/eprint/4524 |
