ANGDelMut – a web-based tool for predicting and analyzing functional loss mechanisms of amyotrophic lateral sclerosis-associated angiogenin mutations [v3; ref status: indexed, http://f1000r.es/2yt]
ANGDelMut is a web-based tool for predicting the functional consequences of missense mutations in the angiogenin (ANG) protein, which is associated with amyotrophic lateral sclerosis (ALS). Missense mutations in ANG result in loss of either ribonucleolytic activity or nuclear translocation activity...
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doaj-2598424cec074c5ea57ecd86354696d52020-11-25T04:04:04ZengF1000 Research LtdF1000Research2046-14022014-02-01210.12688/f1000research.2-227.v33845ANGDelMut – a web-based tool for predicting and analyzing functional loss mechanisms of amyotrophic lateral sclerosis-associated angiogenin mutations [v3; ref status: indexed, http://f1000r.es/2yt]Aditya K Padhi0Suhas V Vasaikar1Bhyravabhotla Jayaram2James Gomes3Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, 110016, IndiaKusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, 110016, IndiaSupercomputing Facility for Bioinformatics and Computational Biology, Indian Institute of Technology Delhi, New Delhi, 110016, IndiaKusuma School of Biological Sciences, Indian Institute of Technology Delhi, New Delhi, 110016, IndiaANGDelMut is a web-based tool for predicting the functional consequences of missense mutations in the angiogenin (ANG) protein, which is associated with amyotrophic lateral sclerosis (ALS). Missense mutations in ANG result in loss of either ribonucleolytic activity or nuclear translocation activity or both of these functions, and in turn cause ALS. However, no web-based tools are available to predict whether a newly identified ANG mutation will possibly lead to ALS. More importantly, no web-implemented method is currently available to predict the mechanisms of loss-of-function(s) of ANG mutants. In light of this observation, we developed the ANGDelMut web-based tool, which predicts whether an ANG mutation is deleterious or benign. The user selects certain attributes from the input panel, which serves as a query to infer whether a mutant will exhibit loss of ribonucleolytic activity or nuclear translocation activity or whether the overall stability will be affected. The output states whether the mutation is deleterious or benign, and if it is deleterious, gives the possible mechanism(s) of loss-of-function. This web-based tool, freely available at http://bioschool.iitd.ernet.in/DelMut/, is the first of its kind to provide a platform for researchers and clinicians, to infer the functional consequences of ANG mutations and correlate their possible association with ALS ahead of experimental findings.http://f1000research.com/articles/2-227/v3BioinformaticsNeurogenetics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Aditya K Padhi Suhas V Vasaikar Bhyravabhotla Jayaram James Gomes |
spellingShingle |
Aditya K Padhi Suhas V Vasaikar Bhyravabhotla Jayaram James Gomes ANGDelMut – a web-based tool for predicting and analyzing functional loss mechanisms of amyotrophic lateral sclerosis-associated angiogenin mutations [v3; ref status: indexed, http://f1000r.es/2yt] F1000Research Bioinformatics Neurogenetics |
author_facet |
Aditya K Padhi Suhas V Vasaikar Bhyravabhotla Jayaram James Gomes |
author_sort |
Aditya K Padhi |
title |
ANGDelMut – a web-based tool for predicting and analyzing functional loss mechanisms of amyotrophic lateral sclerosis-associated angiogenin mutations [v3; ref status: indexed, http://f1000r.es/2yt] |
title_short |
ANGDelMut – a web-based tool for predicting and analyzing functional loss mechanisms of amyotrophic lateral sclerosis-associated angiogenin mutations [v3; ref status: indexed, http://f1000r.es/2yt] |
title_full |
ANGDelMut – a web-based tool for predicting and analyzing functional loss mechanisms of amyotrophic lateral sclerosis-associated angiogenin mutations [v3; ref status: indexed, http://f1000r.es/2yt] |
title_fullStr |
ANGDelMut – a web-based tool for predicting and analyzing functional loss mechanisms of amyotrophic lateral sclerosis-associated angiogenin mutations [v3; ref status: indexed, http://f1000r.es/2yt] |
title_full_unstemmed |
ANGDelMut – a web-based tool for predicting and analyzing functional loss mechanisms of amyotrophic lateral sclerosis-associated angiogenin mutations [v3; ref status: indexed, http://f1000r.es/2yt] |
title_sort |
angdelmut – a web-based tool for predicting and analyzing functional loss mechanisms of amyotrophic lateral sclerosis-associated angiogenin mutations [v3; ref status: indexed, http://f1000r.es/2yt] |
publisher |
F1000 Research Ltd |
series |
F1000Research |
issn |
2046-1402 |
publishDate |
2014-02-01 |
description |
ANGDelMut is a web-based tool for predicting the functional consequences of missense mutations in the angiogenin (ANG) protein, which is associated with amyotrophic lateral sclerosis (ALS). Missense mutations in ANG result in loss of either ribonucleolytic activity or nuclear translocation activity or both of these functions, and in turn cause ALS. However, no web-based tools are available to predict whether a newly identified ANG mutation will possibly lead to ALS. More importantly, no web-implemented method is currently available to predict the mechanisms of loss-of-function(s) of ANG mutants. In light of this observation, we developed the ANGDelMut web-based tool, which predicts whether an ANG mutation is deleterious or benign. The user selects certain attributes from the input panel, which serves as a query to infer whether a mutant will exhibit loss of ribonucleolytic activity or nuclear translocation activity or whether the overall stability will be affected. The output states whether the mutation is deleterious or benign, and if it is deleterious, gives the possible mechanism(s) of loss-of-function. This web-based tool, freely available at http://bioschool.iitd.ernet.in/DelMut/, is the first of its kind to provide a platform for researchers and clinicians, to infer the functional consequences of ANG mutations and correlate their possible association with ALS ahead of experimental findings. |
topic |
Bioinformatics Neurogenetics |
url |
http://f1000research.com/articles/2-227/v3 |
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