AIMC Topic: Toxicology

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Current status and future perspective of computational toxicology in drug safety assessment under ontological intellection.

The Journal of toxicological sciences Jan 1, 2019
For the safety assessment of pharmaceuticals, initial data management requires accurate toxicological data acquisition, which is based on regulatory safety studies according to guidelines, and computational systems have been developed under the appli...
Humans Drug Discovery Computational Biology Drug Development Biological Ontologies Toxicology
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Machine Learning Methods in Computational Toxicology.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2018
Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types of molecular descriptors, both "handcrafted" and "data-driven," are considered in the context of ...
Neural Networks, Computer Machine Learning Algorithms Computer Simulation Deep Learning Support Vector Machine Linear Models Toxicology Quantitative Structure-Activity Relationship
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Chemical-induced disease relation extraction via convolutional neural network.

Database : the journal of biological databases and curation Jan 1, 2017
UNLABELLED: This article describes our work on the BioCreative-V chemical-disease relation (CDR) extraction task, which employed a maximum entropy (ME) model and a convolutional neural network model for relation extraction at inter- and intra-sentenc...
Humans Neural Networks, Computer Toxicology Disease Entropy
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