Literature DB >> 24329533

In silico evaluation for the potential naturally available drugs for breast cancer.

Shailima R D Vardhini1.   

Abstract

Breast cancer is one of the major causes of deaths in women. During the incidence of breast cancer, the HER-2 is amplified and over expressed. This transmembrane receptor is involved in the signal transduction pathway. The present article evaluates 14 naturally available breast cancer drugs, in silico and the ADMET studies were conducted. The HER-2, a validate breast cancer target was taken for the present study. The protein was prepared for docking on the Discovery Studio 2.5. About 14 ligand molecules were used to dock with HER-2 after they were prepared for docking. The ADMET assessment was also done. The dock results showed that the ligand 4'-epidoxorubicin to be the potential drug with the highest dock score of 49.386. Among the 14 naturally available breast cancer drugs, our results evaluated that 4'-epidoxorubicin as the best drug for breast cancer. Further, the ADMET studies give an idea about the drug molecules.

Entities:  

Keywords:  4′-epidoxorubicin; ADMET; ERBB2; HER-2; breast cancer; breast cancer drugs

Mesh:

Substances:

Year:  2013        PMID: 24329533     DOI: 10.3109/10799893.2013.868904

Source DB:  PubMed          Journal:  J Recept Signal Transduct Res        ISSN: 1079-9893            Impact factor:   2.092


  3 in total

1.  Role of breast cancer inhibitors on diabetes mellitus- an in silico approach.

Authors:  Shailima Dv Rampogu
Journal:  J Diabetes Metab Disord       Date:  2015-03-17

2.  Role of quassinoids as potential antimalarial agents: An in silico approach.

Authors:  Shailima Rampogu
Journal:  Anc Sci Life       Date:  2015 Oct-Dec

3.  Exploration for novel inhibitors showing back-to-front approach against VEGFR-2 kinase domain (4AG8) employing molecular docking mechanism and molecular dynamics simulations.

Authors:  Shailima Rampogu; Ayoung Baek; Amir Zeb; Keun Woo Lee
Journal:  BMC Cancer       Date:  2018-03-07       Impact factor: 4.430

  3 in total

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