Abstract

COMPUTATIONAL IDENTIFICATION OF 3D-STRUCTURE VALIDATION OF ABCG2 BREAST CANCER RESISTANCE PROTEIN: AN IN SILICO APPROACH

Ayushman Gadnayak, Swastik Swagat Mishra, Adyasha Mishra, Debasrita Das, Yangya Prasad Nath Sharma, Dibyajyoti Uttameswar Behera, Dipak Ranjan Mishra, Sucharita Balabantray*

ABSTRACT

Cancer growth is an illness that begins in the cells of the body which is described by uncontrolled, ungraceful and undesirable cell division. On the off chance that a cell collects basic transformations in five or six of the protooncogenes, tumor silencer qualities and DNA repair qualities are liable to bring about a completely dangerous cell, equipped for shaping a tumor. In this work we distinguished the inhibitors utilizing three dimensional structures for Breast cancer resistance protein (ABCG2) precious stone structure utilizing Modeller 9.16 version, SwissModel and 3D-JigSaw databases. Collecting 3D structure, structure acceptance studies was performed using Rampage tool, and the produced model was reliable. The membrane related protein encoded by this gene is incorporated into the superfamily of ATP-binding cassette (ABC) transporters. ABCG proteins transport different atoms crosswise over additional and intra-cell membranes. ABCG2 active residues in order to find better inhibitor. It proposed that predicted structure is reliable for the structural insights and functional studies. From the results the ATP-binding cassette of breast cancer resistance structures ware identified and it can be used for further studies.

Keywords: Breast Cancer Resistance, ABCG2, 3D Visualization tools, Rampage.