An in-silico study to determine susceptibility to cancer by evaluating the coding and non-coding non-synonymous single nucleotide variants in the <i>SOCS3</i> gene-Reference-Cited by-同舟云学术

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An in-silico study to determine susceptibility to cancer by evaluating the coding and non-coding non-synonymous single nucleotide variants in the SOCS3 gene

Published:2023-09-27 Issue: Volume: Page:1-12
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Fatemeh Sadri¹^ORCID,Mahboobeh Zarei¹^ORCID,Khadijeh Ahmadi²^ORCID,Amirhossein Mohajeri Khorasani³^ORCID,Pegah Mousavi¹^ORCID

Affiliation:

1. Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran

2. Infectious and Tropical Diseases Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran

3. Student Research Committee, Hormozgan University of Medical Sciences, Bandar Abbas, Iran

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2023.2256408

Reference41 articles.

1. Abraham M. Van Der Spoel D. Lindahl E. & Hess B. (2014). The GROMACS development team. GROMACS User Manual Version 5.2.

2. ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules

3. Construction of a lncRNA–miRNA–mRNA network to determine the key regulators of the Th1/Th2 imbalance in multiple sclerosis

4. The activating STAT5B N642H mutation is a common abnormality in pediatric T-cell acute lymphoblastic leukemia and confers a higher risk of relapse

5. Constitutive activation of STAT3 in breast cancer cells: A review

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