course on computational toxicology, this book would provide excellent reading
material. Studying the entire book will provide the reader with not only a broad but
also a deep understanding of the field.
While this book does focus on computational toxicology, it does not contain any
learning exercises, quizzes, or snippets of computer code for the reader to advance
and test knowledge. In the case of the classroom setting, these materials would be
left to the course instructor. Moreover, herein we do not review basic toxicology
concepts as they are effectively covered by other established bodies of work. We
would be appreciative of any corrections, feedback, comments, or criticism from
readers on how to improve for a future body of work.
Inspired by how computational toxicology is rising to meet the challenges
currently facing traditional toxicology methods, we put forth this book for the
community as an educational tool. The broad scope and deep depth of this textbook
would not be possible without the herculean efforts of and tremendous cooperation
from the authors, for which we are tremendously appreciative. This book also
would not have been possible without the support and vision of Springer, who we
acknowledge for having a visionary understanding of the importance of the topic at
hand.
This preface reflects the views of the authors and should not be construed to
represent the FDA’s views or policies.
Cambridge, MA, USA
Rebecca Kusko, Ph.D.
Senior Vice President and Head of R&D
Immuneering Corporation
Jefferson, AR, USA
Huixiao Hong, Ph.D.
Chief, Bioinformatics Branch
Division of Bioinformatics and Biostatistics
National Center for Toxicological Research
US Food and Drug Administration
viii
Preface
material. Studying the entire book will provide the reader with not only a broad but
also a deep understanding of the field.
While this book does focus on computational toxicology, it does not contain any
learning exercises, quizzes, or snippets of computer code for the reader to advance
and test knowledge. In the case of the classroom setting, these materials would be
left to the course instructor. Moreover, herein we do not review basic toxicology
concepts as they are effectively covered by other established bodies of work. We
would be appreciative of any corrections, feedback, comments, or criticism from
readers on how to improve for a future body of work.
Inspired by how computational toxicology is rising to meet the challenges
currently facing traditional toxicology methods, we put forth this book for the
community as an educational tool. The broad scope and deep depth of this textbook
would not be possible without the herculean efforts of and tremendous cooperation
from the authors, for which we are tremendously appreciative. This book also
would not have been possible without the support and vision of Springer, who we
acknowledge for having a visionary understanding of the importance of the topic at
hand.
This preface reflects the views of the authors and should not be construed to
represent the FDA’s views or policies.
Cambridge, MA, USA
Rebecca Kusko, Ph.D.
Senior Vice President and Head of R&D
Immuneering Corporation
Jefferson, AR, USA
Huixiao Hong, Ph.D.
Chief, Bioinformatics Branch
Division of Bioinformatics and Biostatistics
National Center for Toxicological Research
US Food and Drug Administration
viii
Preface