A computational in silico approach to predict high-risk coding and non-coding SNPs of human PLCG1 gene
PLCG1 gene is responsible for many T-cell lymphoma subtypes, including peripheral T-cell lymphoma (PTCL), angioimmunoblastic T-cell lymphoma (AITL), cutaneous T-cell lymphoma (CTCL), adult T-cell leukemia/lymphoma along with other diseases. Missense mutations of this gene have already been found in...
Enregistré dans:
Auteurs principaux: | Safayat Mahmud Khan, Ar-Rafi Md. Faisal, Tasnin Akter Nila, Nabila Nawar Binti, Md. Ismail Hosen, Hossain Uddin Shekhar |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/130e25749fdd4ee5b61dae6542af2dfd |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
A computational in silico approach to predict high-risk coding and non-coding SNPs of human PLCG1 gene.
par: Safayat Mahmud Khan, et autres
Publié: (2021) -
Comprehensive Characterization of the Coding and Non-Coding Single Nucleotide Polymorphisms in the Tumor Protein p63 (TP63) Gene Using In Silico Tools
par: Shamima Akter, et autres
Publié: (2021) -
In silico analysis of deleterious SNPs of human MTUS1 gene and their impacts on subsequent protein structure and function.
par: Liza Teresa Rozario, et autres
Publié: (2021) -
In silico analysis predicting effects of deleterious SNPs of human RASSF5 gene on its structure and functions
par: Md. Shahadat Hossain, et autres
Publié: (2020) -
In silico analyses of deleterious missense SNPs of human apolipoprotein E3
par: Allan S. Pires, et autres
Publié: (2017)