NeuroDNet is an open source platform for constructing and analyzing neurodegenerative disease associated gene networks. This database was created to provide an interactive platform for researchers in the field to interrogate the relationship between genes implicated in neurodegenerative disorders. The current version of database includes twelve neurodegenerative diseases - Adrenomyeloneuropathy, Alzheimer disease, Amyotrophic lateral sclerosis, Ataxia-telangiectasia, Dentatorubral-pallidoluysian atrophy, Friedreich Ataxia, Frontotemporal Dementia, Huntington disease, Lewy Body Dementia, Parkinson disease, Prion disease, Progressive Supranuclear Palsy (BMC Neuroscience in press)
ANGDelmut is a web-based tool for predicting and analyzing the functional loss mechanisms of deleterious angiogenin mutations associated with amyotrophic lateral sclerosis (ALS). The ANG gene is one of the most frequently mutated genes found in ALS patients across diverse ethnic groups. Human ANG encodes a 14.1 kDa monomeric protein (ANG) that induces neovascularization, maintains physiology and health of motor neurons by inducing angiogenesis, stimulates neurite outgrowth and path-finding, protects motor neurons from hypoxia-induced death, and hence acts as a neuroprotective factor. 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 (Padhi et al. (2012) PLoS ONE; Padhi et al. (2013) Scientific Reports; Padhi et al. (2013) FEBS Letters). However, no web-based tool is available to predict whether a newly identified ANG mutation will be ALS causative. More importantly, no web-implemented method is currently available to elucidate the mechanisms of loss-of-function(s) of ANG mutants. In light of this observation, ANGDelMut web-tool is created, which predicts whether an ANG mutation is deleterious or benign based on a series of molecular dynamics (MD) simulations and analyses.