IN SILICO IDENTIFICATION OF TARGET PALINDROMIC GENES AS POTENTIAL DRUG TARGETS IN BREAST CANCER THERAPY

Abstract

Objectives: Breast cancer (BC) is the most common cancer worldwide prevalent among women with more than one million cases and is second only to lung cancer.

Methods: The identification of the sequences based on the unique tetramers GCAC, GTCA were selected from experimental work. The16 base pair DNA regulatory sequences of which the motifs area part of containing these motif in genes implicated in cancer CAGE1 (AAGCTGTCATTA), BRCA1(GACTGAGTCAA), ABCB1(CTCTAAGTCAT), ABCB5 (GATATGTTAAAGC) and ABI1(CTTCTGGGAA)  were then selected as novel putative targets in breast cancer therapy based on their selectivity on the BC oncogenes which are not found in the normal human genome 1-23 and the sex chromosomes X and Y were obtained via computational analysis.

Results: The single copy base pairs which will be potential drug targets as anticancer drugs were finally obtained as CTGTTATGACTGAGTCAA, CAGE1 with the 17 base pairs CATAAAAGC TGTCATTA and ABCB1 TTGCCAA CTCTAAGT CAT.

Conclusion: It is Possible that the in silico discovery of putative anti breast cancer targets of importance in the genome.

Peer Review History:

Received 7 August 2020; Revised 13 September; Accepted 28 October, Available online 15 November 2020

Academic Editor: Prof. Kumud Upadhyaya, Kumaon University, Nainital, UK, India, upkuupku@gmail.com                         

Received file:                Reviewer's Comments:

Average Peer review marks at initial stage: 5.5/10

Average Peer review marks at publication stage: 7.0/10

Reviewer(s) detail:

Dr. Nkechi Obiofu Ezenobi, University of Port Harcourt, Nigeria, nkechi.ezenobi@uniport.edu.ng

Shahin Gavanji, World Academy of Medical Sciences, Iran,  shahin.gavanji@khuisf.ac.ir