Bioinformatic Analysis of P۵۳ Mutations in Cancer

The P۵۳ gene plays a crucial role as a tumor suppressor, maintaining genomic stability andinhibiting tumor formation. However, P۵۳ mutations, the most common genetic alterations in humancancers, lead to the dysregulation of cell growth and survival, contributing to aggressive tumor behaviorand resistance to conventional treatments. This study aims to provide a bioinformatic analysis of P۵۳mutations in cancer using computational tools such as MutPred۲, SNPeffect۴.۰, I-Mutant۳.۰, ConSurf,Phyre۲, and project HOPE. We investigated the structural consequences of P۵۳ mutations, includingtheir impact on protein stability, examined structural changes, and evaluated evolutionary conservationand protein secondary structures. We obtained a dataset of P۵۳ tumor variants from the TP۵۳ Database,specifically focusing on variants with mutation rates exceeding ۱. This dataset included ۵۴ missenseand ۴ stop-gained variants that were further analyzed and assessed for their significance in cancer.Understanding the consequences of these mutations is crucial for guiding treatment decisions, includingthe development of targeted therapies. By restoring P۵۳ function and targeting mutant P۵۳, newtreatment modalities can address therapeutic limitations and enhance treatment efficacy. Our findingshighlight the critical role of P۵۳ mutations in different cancer types. This study provides valuableinsights into the specific P۵۳ mutations in cancer, shedding light on their molecular and structuralconsequences and highlighting the potential for tailored treatment approaches. These findings havesignificant implications for precision medicine, as they pave the way for the development of innovativetherapies and improved patient care in P۵۳-mutated cancers.

کلیدواژه ها:

P۵۳ mutations ، Cancer ، Bioinformatics analysis ، Structural consequences ، TP۵۳ Database