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Differential Reconstructed Gene Interaction Networks For Deriving Toxicity Threshold In Chemical Risk Assessment, Yi Yang, Andrew Maxwell, Xiaowei Zhang, Nan Wang, Edward J. Perkins, Chaoyang Zhang, Ping Gong
Differential Reconstructed Gene Interaction Networks For Deriving Toxicity Threshold In Chemical Risk Assessment, Yi Yang, Andrew Maxwell, Xiaowei Zhang, Nan Wang, Edward J. Perkins, Chaoyang Zhang, Ping Gong
Faculty Publications
Background: Pathway alterations reflected as changes in gene expression regulation and gene interaction can result from cellular exposure to toxicants. Such information is often used to elucidate toxicological modes of action. From a risk assessment perspective, alterations in biological pathways are a rich resource for setting toxicant thresholds, which may be more sensitive and mechanism-informed than traditional toxicity endpoints. Here we developed a novel differential networks (DNs) approach to connect pathway perturbation with toxicity threshold setting.
Methods: Our DNs approach consists of 6 steps: time-series gene expression data collection, identification of altered genes, gene interaction network reconstruction, differential …
Seqnls: Nuclear Localization Signal Prediction Based On Frequent Pattern Mining And Linear Motif Scoring, J.-R. Lin, Jianjun Hu
Seqnls: Nuclear Localization Signal Prediction Based On Frequent Pattern Mining And Linear Motif Scoring, J.-R. Lin, Jianjun Hu
Faculty Publications
Nuclear localization signals (NLSs) are stretches of residues in proteins mediating their importing into the nucleus. NLSs are known to have diverse patterns, of which only a limited number are covered by currently known NLS motifs. Here we propose a sequential pattern mining algorithm SeqNLS to effectively identify potential NLS patterns without being constrained by the limitation of current knowledge of NLSs. The extracted frequent sequential patterns are used to predict NLS candidates which are then filtered by a linear motif-scoring scheme based on predicted sequence disorder and by the relatively local conservation (IRLC) based masking.
The experiment results on …