Joint Virtual Special Issue on Computational Toxicology

[1]  Alison J. Foster,et al.  Predicting Drug-Induced Liver Injury with Bayesian Machine Learning. , 2019, Chemical research in toxicology.

[2]  V. Helms,et al.  Prediction of Synergistic Toxicity of Binary Mixtures to Vibrio fischeri Based on Biomolecular Interaction Networks. , 2018, Chemical research in toxicology.

[3]  Imran Shah,et al.  Predicting Organ Toxicity Using in Vitro Bioactivity Data and Chemical Structure. , 2017, Chemical research in toxicology.

[4]  Artem Cherkasov,et al.  Toxic Colors: The Use of Deep Learning for Predicting Toxicity of Compounds Merely from Their Graphic Images , 2018, J. Chem. Inf. Model..

[5]  Weihua Li,et al.  In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts , 2018, Front. Chem..

[6]  Sergey Sosnin,et al.  Comparative Study of Multitask Toxicity Modeling on a Broad Chemical Space , 2018, J. Chem. Inf. Model..

[7]  Guo-Wei Wei,et al.  Quantitative Toxicity Prediction Using Topology Based Multitask Deep Neural Networks , 2017, J. Chem. Inf. Model..

[8]  Gerhard F. Ecker,et al.  Predicting Drug-Induced Cholestasis with the Help of Hepatic Transporters—An in Silico Modeling Approach , 2017, J. Chem. Inf. Model..

[9]  M. Peitsch,et al.  Crowd-Sourced Verification of Computational Methods and Data in Systems Toxicology: A Case Study with a Heat-Not-Burn Candidate Modified Risk Tobacco Product. , 2017, Chemical research in toxicology.

[10]  D. Boukhvalov,et al.  Development of Theoretical Descriptors for Cytotoxicity Evaluation of Metallic Nanoparticles. , 2017, Chemical research in toxicology.

[11]  Gianni De Fabritiis,et al.  PathwayMap: Molecular Pathway Association with Self-Normalizing Neural Networks , 2018, J. Chem. Inf. Model..

[12]  K. Friedemann Schmidt,et al.  Predictive Multitask Deep Neural Network Models for ADME-Tox Properties: Learning from Large Data Sets , 2019, J. Chem. Inf. Model..

[13]  Jianfeng Pei,et al.  Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction , 2017, J. Chem. Inf. Model..

[14]  Minjun Chen,et al.  Integrating Drug's Mode of Action into Quantitative Structure-Activity Relationships for Improved Prediction of Drug-Induced Liver Injury , 2017, J. Chem. Inf. Model..

[15]  Friedemann Schmidt,et al.  Computational Investigation of Drug Phototoxicity: Photosafety Assessment, Photo-Toxophore Identification and Machine Learning. , 2019, Chemical research in toxicology.

[16]  Ruili Huang,et al.  Identifying Compounds with Genotoxicity Potential Using Tox21 High-Throughput Screening Assays. , 2019, Chemical research in toxicology.

[17]  I. Rusyn,et al.  Computational Toxicology: Realizing the Promise of the Toxicity Testing in the 21st Century , 2010, Environmental health perspectives.