1. Zhao L, Zhu H* Big data in computational toxicology: challenges and opportunities. In: Computational toxicology – Risk assessment for chemicals (by Ekins S Editor). Chapter 11, page 293-312, John Wiley & Sons, Inc., 2018, Hoboken, NJ 07030, USA, ISBN: 9781119282570.

     

    1. Golbraikh A, Wang X S, Zhu H, Tropsha A Predictive QSAR modeling: Methods and applications in drug discovery and chemical risk assessment. In: Handbook of computational chemistry (by Leszczynski, J. et. al. Editor). Chapter 57, page 2303-2340, Springer-Verlag, 2017, GmbH Berlin Heidelberg, ISBN: 978-3-319-27281-8.

     

    1. Kim M, Wang W, Sedykh A, Zhu H* Curating and Preparing High-Throughput Screening Data for Quantitative Structure-Activity Relationship Modeling. In: High throughput screening in toxicology (Zhu, H. et al. Editor). Springer Science+Business Media LLC, 2016, New York, ISBN 978-1-4939-6344-7.

     

    1. Russo D P, Zhu H* Accessing the High-Throughput Screening Data Landscape. In: High throughput screening in toxicology (Zhu, H. et al. Editor). Springer Science+Business Media LLC, 2016, New York, ISBN 978-1-4939-6344-7.

     

    1. Zhu H*, Kim M, Zhang L, Sedykh A Computers instead of cells: Computational modeling of chemical toxicity. in: Reducing, refining and replacing the use of animals in toxicity testing (by Allen D, Waters M D Editor). Chapter 5, page 163-182, Royal Society of Chemistry, 2013, Burlington House, Piccadilly, London, ISBN: 978-1-84973-652-7.

     

    1. Zhu H* From QSAR to QSIIR: Searching for enhanced computational toxicology models. In: Computational toxicology volume II (by Reisfeld B, Mayeno Ar N Editor). Chapter 3, page 53-65, Springer-Verlag, 2012, GmbH Berlin Heidelberg, ISBN 978-1-62703-058-8.

     

    1. Golbraikh A, Wang X S, Zhu H, Tropsha A Predictive QSAR modeling: Methods and applications in drug discovery and chemical risk assessment. In: Handbook of computational chemistry (by Leszczynski, J. Editor). Chapter 37, page 1309-1342, Springer-Verlag, 2011, GmbH Berlin Heidelberg, ISBN: 978-94-007-0710-8.

     

*indicates the corresponding author.