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In silico analysis of a SLC6A4 G100V mutation in lung cancers
SLC6A4 is a serotonin re-uptake transporter which has been a target for anti-depressant therapies but recently some mutations have been described in cancer cells. Here, we characterize mutations in SLC6A4 that appear in cancer cells. We employed several validated computational and artificial intelli...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Caltech Library
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554669/ https://www.ncbi.nlm.nih.gov/pubmed/36247322 http://dx.doi.org/10.17912/micropub.biology.000645 |
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author | Pappula, Amrit L Gibson, Louis N Bouley, Renee A Petreaca, Ruben C |
author_facet | Pappula, Amrit L Gibson, Louis N Bouley, Renee A Petreaca, Ruben C |
author_sort | Pappula, Amrit L |
collection | PubMed |
description | SLC6A4 is a serotonin re-uptake transporter which has been a target for anti-depressant therapies but recently some mutations have been described in cancer cells. Here, we characterize mutations in SLC6A4 that appear in cancer cells. We employed several validated computational and artificial intelligence algorithms to characterize the mutations. We identified a previously uncharacterized G100V mutation in lung cancers. In sillico structural analysis reveals that this mutation may affect SLC6A4 ligand binding and subsequently its function. We also identified several other mutations that may affect the structure of the protein. This preliminary analysis highlights the role of SLC6A4 in human cancers. |
format | Online Article Text |
id | pubmed-9554669 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Caltech Library |
record_format | MEDLINE/PubMed |
spelling | pubmed-95546692022-10-13 In silico analysis of a SLC6A4 G100V mutation in lung cancers Pappula, Amrit L Gibson, Louis N Bouley, Renee A Petreaca, Ruben C MicroPubl Biol New Finding SLC6A4 is a serotonin re-uptake transporter which has been a target for anti-depressant therapies but recently some mutations have been described in cancer cells. Here, we characterize mutations in SLC6A4 that appear in cancer cells. We employed several validated computational and artificial intelligence algorithms to characterize the mutations. We identified a previously uncharacterized G100V mutation in lung cancers. In sillico structural analysis reveals that this mutation may affect SLC6A4 ligand binding and subsequently its function. We also identified several other mutations that may affect the structure of the protein. This preliminary analysis highlights the role of SLC6A4 in human cancers. Caltech Library 2022-09-27 /pmc/articles/PMC9554669/ /pubmed/36247322 http://dx.doi.org/10.17912/micropub.biology.000645 Text en Copyright: © 2022 by the authors https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | New Finding Pappula, Amrit L Gibson, Louis N Bouley, Renee A Petreaca, Ruben C In silico analysis of a SLC6A4 G100V mutation in lung cancers |
title |
In silico
analysis of a SLC6A4 G100V mutation in lung cancers
|
title_full |
In silico
analysis of a SLC6A4 G100V mutation in lung cancers
|
title_fullStr |
In silico
analysis of a SLC6A4 G100V mutation in lung cancers
|
title_full_unstemmed |
In silico
analysis of a SLC6A4 G100V mutation in lung cancers
|
title_short |
In silico
analysis of a SLC6A4 G100V mutation in lung cancers
|
title_sort | in silico
analysis of a slc6a4 g100v mutation in lung cancers |
topic | New Finding |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554669/ https://www.ncbi.nlm.nih.gov/pubmed/36247322 http://dx.doi.org/10.17912/micropub.biology.000645 |
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