A Computational Approach to Determine the Potential Inhibition of the Gomesin Peptide as an AKT1 Inhibitor in Breast Cancer

Senapathi, Tharindu; Selvaraj, Saranya; Weerasinghe, Laksiri

dc.contributor.author	Senapathi, Tharindu
dc.contributor.author	Selvaraj, Saranya
dc.contributor.author	Weerasinghe, Laksiri
dc.date.accessioned	2023-06-21T06:35:44Z
dc.date.available	2023-06-21T06:35:44Z
dc.date.issued	2023-06
dc.identifier.uri	http://ichemcdr.com:8080/xmlui/handle/123456789/252
dc.description	Abstract No: 2023_06	en_US
dc.description.abstract	Animal trials and in vitro drug screening can improve drug discovery. However, such pre-clinical screenings are often costly and time-consuming. Due to this, a more effective technique is developed using in silico method for the same.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Institute of Chemistry Ceylon	en_US
dc.relation.ispartofseries	40;2
dc.subject	Computational Approach	en_US
dc.subject	Gomesin Peptide	en_US
dc.subject	Breast Cancer	en_US
dc.title	A Computational Approach to Determine the Potential Inhibition of the Gomesin Peptide as an AKT1 Inhibitor in Breast Cancer	en_US
dc.type	Article	en_US