Protein molecular modeling of genetic markers for thyroid cancer

ABSTRACT Introduction: The advances in thyroid molecular biology studies provide not only insight into thyroid diseases but accurate diagnosis of thyroid cancer. Objective: Design a tutorial on protein molecular modeling of genetic markers for thyroid cancer. Methods: The proteins were selected usin...

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Published in:	Jornal brasileiro de patologia e medicina laboratorial Vol. 52; no. 5; pp. 324 - 337
Main Authors:	Andrade, Luis Jesuino O., Oliveira, Gabriela C. M., Bittencourt, Alcina Maria V., Melo, Paulo Roberto S.
Format:	Journal Article
Language:	English
Published:	Sociedade Brasileira de Patologia Clínica; Sociedade Brasileira de Patologia; Sociedade Brasileira de Citopatologia 01-10-2016 Sociedade Brasileira de Patologia Clínica
Subjects:	genetic markers MEDICAL LABORATORY TECHNOLOGY MEDICINE, RESEARCH & EXPERIMENTAL molecular structure PATHOLOGY sequence analysis protein thyroid neoplasms molecular structure sequence analysis protein marcadores genéticos modelos moleculares neoplasias da glândula tireoide genetic markers análise de sequência de proteína thyroid neoplasms
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Summary:	ABSTRACT Introduction: The advances in thyroid molecular biology studies provide not only insight into thyroid diseases but accurate diagnosis of thyroid cancer. Objective: Design a tutorial on protein molecular modeling of genetic markers for thyroid cancer. Methods: The proteins were selected using the Protein Data Bank sequence and the basic local alignment search tool (BLAST) algorithm. The obtained sequences were aligned with the Clustal W multiple alignment algorithms. For the molecular modeling, three-dimensional structures were generated from this set of constraints with the SWISS-MODEL, which is a fully automated protein structure homology-modeling server, accessible via the ExPASy web server. Results: We demonstrated protein analysis, projection of the molecular structure and protein homology of the following molecular markers of thyroid cancer: receptor tyrosine kinase (RET) proto-oncogene; neurotrophic tyrosine kinase receptor 1 (NTRK1) proto-oncogene; phosphatase and tensin homolog (PTEN); tumor protein p53 (TP53) gene; phosphoinositide 3-kinase/threonine protein kinase (PI3K/AKT); catenin beta 1 (CTNNB1); paired box 8-peroxisome proliferator-activated receptor gamma (PAX8-PPARG); rat sarcoma viral oncogene (RAS); B-raf proto-oncogene, serine/threonine kinase (BRAF); and thyroid-stimulating hormone receptor (TSHR). Conclusion: This study shows the importance of understanding the molecular structure of the markers for thyroid cancer through bioinformatics, and consequently, the development of more effective new molecules as alternative tools for thyroid cancer treatment.
ISSN:	1676-2444 1678-4774 1678-4774
DOI:	10.5935/1676-2444.20160047