Keyword Connections

mixture toxicity

Journals

12

1 Scientific reports

2 PloS one

3 BMC Bioinformatics

4 Chemosphere

5 Journal of visualized experiments : JoVE

6 Bioinformatics

7 methods in molecular biology (clifton, nj)

8 journal of proteome research

9 journal of cellular biochemistry

10 environmental toxicology and chemistry

11 Environmental health : a global access science source

12 pacific symposium on biocomputing pacific symposium on biocomputing

Research Groups

0

No Research Group Connected

Bibliographies

16

1 Systematic proteomic approach to characterize the impacts of chemical interactions on protein and cytotoxicity responses to metal mixture exposures.

2 A method for predicting protein-protein interaction types.

3 The mutational landscape of phosphorylation signaling in cancer.

4 Computational prediction of lysine acetylation proteome-wide.

5 Computational phosphorylation site prediction in plants using random forests and organism-specific instance weights.

6 Cryptic disorder: an order-disorder transformation regulates the function of nucleophosmin.

7 Bioinformatic analysis and post-translational modification crosstalk prediction of lysine acetylation.

8 PostMod: sequence based prediction of kinase-specific phosphorylation sites with indirect relationship.

9 In silico determination of intracellular glycosylation and phosphorylation sites in human selectins: implications for biological function.

10 Impacts of food contact chemicals on human health: a consensus statement.

11 A novel in-situ Toxicity Identification Evaluation (iTIE) system for determining which chemicals drive impairments at contaminated sites.

12 Reconstruction of Single-Cell Innate Fluorescence Signatures by Confocal Microscopy.

13 Toxicity of biomining effluents to Daphnia magna: Acute toxicity and transcriptomic biomarkers.

14 Assessment of mixture toxicity of (tri)azoles and their hepatotoxic effects in vitro by means of omics technologies.

15 Machine learning for mixture toxicity analysis based on high-throughput printing technology

16 MITAS: A model for assessing the time-dependent risk of sequential applications of pesticides for soil organisms by consideration of exposure, degradation and mixture toxicity