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In silico analysis of fragile histidine triad involved in regression of carcinoma
Muhammad Asif Rasheed1, Fatima Tariq1, Sara Afzal1
1Department of Biosciences, COMSATS Institute of Information Technology, Sahiwal, Pakistan.
Abstract:
Hepatocellular carcinoma (HCCa) is a primary malignancy of the liver. Many different proteins are involved in HCCa including insulin growth factor (IGF) II , signal transducers and activators of transcription (STAT) 3, STAT4, mothers against decapentaplegic homolog 4 (SMAD 4), fragile histidine triad (FHIT) and selective internal radiation therapy (SIRT) etc. The present study is based on the bioinformatics analysis of FHIT protein in order to understand the proteomics aspect and improvement of the diagnosis of the disease based on the protein. Different information related to protein were gathered from different databases, including National Centre for Biotechnology Information (NCBI) Gene, Protein and Online Mendelian Inheritance in Man (OMIM) databases, Uniprot database, String database and Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Moreover, the structure of the protein and evaluation of the quality of the structure were included from Easy modeler programme. Hence, this analysis not only helped to gather information related to the protein at one place, but also analysed the structure and quality of the protein to conclude that the protein has a role in carcinoma.
Insights
This study analyzes the fragile histidine triad (FHIT) protein using bioinformatics to understand its role in hepatocellular carcinoma (HCC). Findings suggest FHIT protein is involved in liver cancer development and diagnosis.
Area of Science:
- Proteomics
- Bioinformatics
- Cancer Biology
Background:
- Hepatocellular carcinoma (HCC) is a primary liver cancer.
- Several proteins, including FHIT, are implicated in HCC development.
- Understanding protein roles is crucial for improving HCC diagnosis.
Purpose of the Study:
- To conduct a bioinformatics analysis of the fragile histidine triad (FHIT) protein.
- To investigate the proteomics of FHIT in relation to HCC.
- To explore FHIT's potential for improving HCC diagnosis.
Main Methods:
- Data collection from NCBI Gene, Protein, OMIM, Uniprot, String, and KEGG databases.
- Bioinformatics analysis of FHIT protein information.
- Structural analysis and quality evaluation using Easy Modeler.
Main Results:
- Consolidated comprehensive information on FHIT protein.
- Analyzed the structure and assessed the quality of the FHIT protein structure.
- Identified FHIT protein's structural characteristics relevant to carcinoma.
Conclusions:
- The bioinformatics analysis provides a centralized resource for FHIT protein data.
- FHIT protein structure and quality assessment indicate its relevance.
- The fragile histidine triad (FHIT) protein plays a role in hepatocellular carcinoma (HCC).
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