HOMOLOGY MODELING AND DRUG DESIGNING APPROACH FOR PROSPECTIVE MALIGNANT BRAIN CANCER.
Author(s):
Shubhi Bindal, Uma Kumari, Pinki Raj Sahu
Keywords:
Brain tumor model, Drug designing, Glioblastoma, Glioma, Neuro-oncology, Sequence analysis, and Therapeutic development.
Abstract
Brain tumors are a heterogeneous group of malignancies that begins in cells of the central nervous system. A variety of models in biological sample for preclinical studies have been developed to identified mutation in human brain tumor using bioinformatics software allowing us to understand the underlying pathobiology and explore potential treatments. Many promising therapeutic strategies identified using preclinical models have shown limited efficacy or failed at the clinical trial stage so drug designing started. Therapeutic strategies develop to significantly improve survival rates in patients highlight the compelling to revisit the design of currently available animal models and explore about how new models that allow us to bridge the gap between promising preclinical findings and identification of clinical translation.In review the current strategies used to model glioblastoma, the most malignant brain tumor in adults and highlight the shortcomings of specific models create using biological sample that must be development of innovative therapeutic strategies. Data analysis computational brain tumor models have the potential to provide experimental tumor biologists and cost-efficient tools to generate test hypotheses on tumor progression and fundamental operating principles governing bidirectional signal propagation in multicellular cancer systems. By using software and databases highlights the modeling objectives of and challenges with developing such in silico brain tumor models to identify target selection.
Article Details
Unique Paper ID: 157286

Publication Volume & Issue: Volume 9, Issue 6

Page(s): 528 - 534
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