Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A computational in silico approach to predict high-risk coding and non-coding SNPs of human PLCG1 gene.

PloS one - 1 Jan 2021

Khan Safayat Mahmud, Faisal Ar-Rafi Md, Nila Tasnin Akter, Binti Nabila Nawar, Hosen Md Ismail, Shekhar Hossain Uddin

Abstract excerpt

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 patients of CTCL and AITL. The non-synonymous single nucleotide polymorphisms (nsSNPs) can alter the protein...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Binding Sites
Share to Catalytic Domain

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Computational Biology

Share to Computer Simulation

Share to Mutation, Missense

Share to Phospholipase C gamma

Share to Polymorphism, Single Nucleotide

Share to Risk Factors

Source

Open in PubMed Open full text

Identifiers

PMID: 34793541
DOI: 10.1371/journal.pone.0260054
PMCID: PMC8601573

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A computational in silico approach to predict high-risk coding and non-coding SNPs of human PLCG1 gene.PMID 34793541Read ↗

Investigation of deleterious effects of nsSNPs in the POT1 gene: a structural genomics‐based approach to understand the mechanism of cancer developmentSemantic proximity Read ↗

Pathogenic nsSNPs that increase the risks of cancers among the Orang Asli and Malays.Semantic proximity Read ↗

Candidate susceptibility variants in angioimmunoblastic T-cell lymphoma.Semantic proximity Read ↗

Comprehensive in-silico analysis of deleterious SNPs in APOC2 and APOA5 and their differential expression in cancer and cardiovascular diseases conditions.Semantic proximity Read ↗

In-silico screening of cancer associated mutation on PLK1 protein and its structural consequences.Semantic proximity Read ↗

An in silico approach to characterize nonsynonymous SNPs and regulatory SNPs in human TOX3 gene.Semantic proximity Read ↗

First comprehensive in silico analysis of the functional and structural consequences of SNPs in human GalNAc-T1 gene.Semantic proximity Read ↗

Mutational analysis on predicting the impact of high-risk SNPs in human secretary phospholipase A2 receptor (PLA2R1).Semantic proximity Read ↗

Single nucleotide polymorphisms of the <i>c-MYC</i> gene’s relationship with formation of Burkitt’s lymphoma using bioinformatics analysisSemantic proximity Read ↗

Assessment of Single Nucleotide Variants in hGPRC5A Gene Using in-silico ToolsSemantic proximity Read ↗

In silico analysis of single nucleotide polymorphisms (SNPs) in human FOXC2 geneSemantic proximity Read ↗

A new insight into structural and functional impact of single-nucleotide polymorphisms in PTEN gene.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.