Literature DB >> 27221932

Virtual Screening Approaches in Identification of Bioactive Compounds Akin to Delphinidin as Potential HER2 Inhibitors for the Treatment of Breast Cancer.

Kavisha Patidar1, Aruna Deshmukh, Srinivas Bandaru, Chandana Lakkaraju, Amandeep Girdhar, Gutlapalli Vr, Tushar Banerjee, Anuraj Nayarisseri, Sanjeev Kumar Singh.   

Abstract

Small molecule tyrosine kinase inhibitors targeting HER 2 receptors have emerged as an important therapeutic approach in inhibition of downstream proliferation and survival signals for the treatment of breast cancers. Recent drug discovery efforts have demonstrated that naturally occurring polyphenolic compounds like delphinidin have potential to inhibit proliferation and promote apoptosis of breast cancer cells by targeting HER2 receptors. While delphinidin may thus reduce tumour size, it is associated with serious side effects like dysphonia. Owing to the narrow therapeutic window of delphinidin, the present study aimed to identify high affinity compounds targeting HER2 with safer pharmacological profiles than delphinidin through virtual screening approaches. Delphinidin served as the query parent for identification of structurally similar compounds by Tanimoto-based similarity searching with a threshold of 95% against the PubChem database. The compounds retrieved were further subjected to Lipinski and Verber's filters to obtain drug like agents, then further filtered by diversity based screens with a cut off of 0.6. The compound with Pubchem ID: 91596862 was identified to have higher affinity than its parent. In addition it also proved to be non-toxic with a better ADMET profile and higher kinase activity. The compound identified in the study can be put to further in vitro drug testing to complement the present study.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27221932     DOI: 10.7314/apjcp.2016.17.4.2291

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  9 in total

1.  Design of novel JAK3 Inhibitors towards Rheumatoid Arthritis using molecular docking analysis.

Authors:  Divya Jain; Trishang Udhwani; Shreshtha Sharma; Aishwarya Gandhe; Palugulla Bhaskar Reddy; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  Bioinformation       Date:  2019-02-28

2.  Design of PD-L1 inhibitors for lung cancer.

Authors:  Trishang Udhwani; Sourav Mukherjee; Khushboo Sharma; Jajoriya Sweta; Natasha Khandekar; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  Bioinformation       Date:  2019-02-28

3.  FLT3 inhibitor design using molecular docking based virtual screening for acute myeloid leukemia.

Authors:  Padmini Gokhale; Aashish Pratap Singh Chauhan; Anushka Arora; Natasha Khandekar; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  Bioinformation       Date:  2019-02-28

4.  Virtual Screening of IL-6 Inhibitors for Idiopathic Arthritis.

Authors:  Palak Shukla; Ravina Khandelwal; Diksha Sharma; Anindya Dhar; Anuraj Nayarisseri; Sanjeev Kumar Singh
Journal:  Bioinformation       Date:  2019-02-28

5.  Identification of High-Affinity Small Molecule Targeting IDH2 for the Clinical Treatment of Acute Myeloid Leukemia.

Authors:  Jajoriya Sweta; Ravina Khandelwal; Sivaraj Srinitha; Rashi Pancholi; Ritu Adhikary; Meer Asif Ali; Anuraj Nayarisseri; Sugunakar Vuree; Sanjeev Kumar Singh
Journal:  Asian Pac J Cancer Prev       Date:  2019-08-01

6.  Identification of Potent VEGF Inhibitors for the Clinical Treatment of Glioblastoma, A Virtual Screening Approach.

Authors:  Mohini Yadav; Ravina Khandelwal; Urvy Mudgal; Sivaraj Srinitha; Natasha Khandekar; Anuraj Nayarisseri; Sugunakar Vuree; Sanjeev Kumar Singh
Journal:  Asian Pac J Cancer Prev       Date:  2019-09-01

Review 7.  Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries.

Authors:  Chandrabose Selvaraj; Ishwar Chandra; Sanjeev Kumar Singh
Journal:  Mol Divers       Date:  2021-10-23       Impact factor: 2.943

Review 8.  Delphinidin and Its Glycosides' War on Cancer: Preclinical Perspectives.

Authors:  Anshul Sharma; Hyo-Kyoung Choi; Yeon-Kye Kim; Hae-Jeung Lee
Journal:  Int J Mol Sci       Date:  2021-10-25       Impact factor: 5.923

9.  Structural insights into the RNA interaction with Yam bean Mosaic virus (coat protein) from Pachyrhizus erosus using bioinformatics approach.

Authors:  Varsha Acharya; R Arutselvan; Kalidas Pati; Ajaya Kumar Rout; Budheswar Dehury; V B S Chauhan; M Nedunchezhiyan
Journal:  PLoS One       Date:  2022-07-22       Impact factor: 3.752

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.