東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Advances in computational toxicology...

Hong, Huixiao.

Linked to FindBook

Google Book

Amazon

博客來

Advances in computational toxicology = methodologies and applications in regulatory science /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in computational toxicology/ edited by Huixiao Hong.
Reminder of title:	methodologies and applications in regulatory science /
other author:	Hong, Huixiao.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xvii, 412 p. :ill., digital ;24 cm.
[NT 15003449]:	Computational Toxicology Promotes Regulatory Science -- Tasks, Major Challenges and Emerging Modelling Methods for Computational Toxicology -- Xenobiotic Metabolism by Cytochrome P450s: Insights Gained from Molecular Simulations -- Applications of Molecular Modeling to Probe the Mechanism of Endocrine Disruptor Action -- Mixture Toxicity -- Towards reproducible in silico practice via OpenTox -- Combining Machine Learning and Multilayer Networks for Toxicity Prediction -- Matrix and tensor factorization for toxicity modelling -- Network-based In Silico Assessment of Drug Cardiotoxicity -- Mode-of-action-guided chemical toxicity prediction: A novel in silico approach for predictive toxicology -- Machine learning methods for toxicity analysis -- Predictive modeling of Tox21 data -- The NTP DrugMatrix Toxicogenomics Database and Analysis Tool -- Applications of Computational Toxicology for Risk Assessment of Food Ingredients and Indirect Food Additives -- In silico prediction of the point of departure (POD) with high throughput data -- The application of topic modeling on drug safety signal detection and analysis -- Molecular dynamics simulations and applications in computational toxicology -- Computational modeling for prediction of drug-induced liver injury in humans -- Genomics in vitro to in vivo extrapolation (GIVIVE) for drug safety evaluation.
Contained By:	Springer eBooks
Subject:	Toxicology - Data processing. -
Online resource:	https://doi.org/10.1007/978-3-030-16443-0
ISBN:	9783030164430

Advances in computational toxicology = methodologies and applications in regulatory science /
Advances in computational toxicologymethodologies and applications in regulatory science /[electronic resource] :edited by Huixiao Hong. - Cham :Springer International Publishing :2019. - xvii, 412 p. :ill., digital ;24 cm. - Challenges and advances in computational chemistry and physics,v.302542-4491 ;. - Challenges and advances in computational chemistry and physics ;v.30..

Computational Toxicology Promotes Regulatory Science -- Tasks, Major Challenges and Emerging Modelling Methods for Computational Toxicology -- Xenobiotic Metabolism by Cytochrome P450s: Insights Gained from Molecular Simulations -- Applications of Molecular Modeling to Probe the Mechanism of Endocrine Disruptor Action -- Mixture Toxicity -- Towards reproducible in silico practice via OpenTox -- Combining Machine Learning and Multilayer Networks for Toxicity Prediction -- Matrix and tensor factorization for toxicity modelling -- Network-based In Silico Assessment of Drug Cardiotoxicity -- Mode-of-action-guided chemical toxicity prediction: A novel in silico approach for predictive toxicology -- Machine learning methods for toxicity analysis -- Predictive modeling of Tox21 data -- The NTP DrugMatrix Toxicogenomics Database and Analysis Tool -- Applications of Computational Toxicology for Risk Assessment of Food Ingredients and Indirect Food Additives -- In silico prediction of the point of departure (POD) with high throughput data -- The application of topic modeling on drug safety signal detection and analysis -- Molecular dynamics simulations and applications in computational toxicology -- Computational modeling for prediction of drug-induced liver injury in humans -- Genomics in vitro to in vivo extrapolation (GIVIVE) for drug safety evaluation.

This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in this field.

ISBN: 9783030164430

Standard No.: 10.1007/978-3-030-16443-0doiSubjects--Topical Terms:

2045587
Toxicology
--Data processing.

LC Class. No.: RA1193.4 / .A383 2019

Dewey Class. No.: 615.9

Advances in computational toxicology = methodologies and applications in regulatory science /
LDR:03519nmm a2200349 a 4500 001 2191165
003 DE-He213
005 20191017165003.0
006 m d
007 cr nn 008maaau
008 200504s2019 gw s 0 eng d
020 $a 9783030164430 $q (electronic bk.)
020 $a 9783030164423 $q (paper)
024 7 $a 10.1007/978-3-030-16443-0 $2 doi
035 $a 978-3-030-16443-0
040 $a GP $c GP
041 0 $a eng
050 4 $a RA1193.4 $b .A383 2019
072 7 $a PN $2 bicssc
072 7 $a SCI013000 $2 bisacsh
072 7 $a PN $2 thema
072 7 $a UB $2 thema
082 0 4 $a 615.9 $2 23
090 $a RA1193.4 $b .A244 2019
245 0 0 $a Advances in computational toxicology $h [electronic resource] : $b methodologies and applications in regulatory science / $c edited by Huixiao Hong.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xvii, 412 p. : $b ill., digital ; $c 24 cm.
490 1 $a Challenges and advances in computational chemistry and physics, $x 2542-4491 ; $v v.30
505 0 $a Computational Toxicology Promotes Regulatory Science -- Tasks, Major Challenges and Emerging Modelling Methods for Computational Toxicology -- Xenobiotic Metabolism by Cytochrome P450s: Insights Gained from Molecular Simulations -- Applications of Molecular Modeling to Probe the Mechanism of Endocrine Disruptor Action -- Mixture Toxicity -- Towards reproducible in silico practice via OpenTox -- Combining Machine Learning and Multilayer Networks for Toxicity Prediction -- Matrix and tensor factorization for toxicity modelling -- Network-based In Silico Assessment of Drug Cardiotoxicity -- Mode-of-action-guided chemical toxicity prediction: A novel in silico approach for predictive toxicology -- Machine learning methods for toxicity analysis -- Predictive modeling of Tox21 data -- The NTP DrugMatrix Toxicogenomics Database and Analysis Tool -- Applications of Computational Toxicology for Risk Assessment of Food Ingredients and Indirect Food Additives -- In silico prediction of the point of departure (POD) with high throughput data -- The application of topic modeling on drug safety signal detection and analysis -- Molecular dynamics simulations and applications in computational toxicology -- Computational modeling for prediction of drug-induced liver injury in humans -- Genomics in vitro to in vivo extrapolation (GIVIVE) for drug safety evaluation.
520 $a This book provides a comprehensive review of both traditional and cutting-edge methodologies that are currently used in computational toxicology and specifically features its application in regulatory decision making. The authors from various government agencies such as FDA, NCATS and NIEHS industry, and academic institutes share their real-world experience and discuss most current practices in computational toxicology and potential applications in regulatory science. Among the topics covered are molecular modeling and molecular dynamics simulations, machine learning methods for toxicity analysis, network-based approaches for the assessment of drug toxicity and toxicogenomic analyses. Offering a valuable reference guide to computational toxicology and potential applications in regulatory science, this book will appeal to chemists, toxicologists, drug discovery and development researchers as well as to regulatory scientists, government reviewers and graduate students interested in this field.
650 0 $a Toxicology $x Data processing. $3 2045587
650 0 $a Toxicity testing. $3 548609
650 1 4 $a Computer Applications in Chemistry. $3 891338
650 2 4 $a Pharmacology/Toxicology. $3 890953
650 2 4 $a Computer Appl. in Life Sciences. $3 892390
650 2 4 $a Theoretical and Computational Chemistry. $3 890863
650 2 4 $a Computational Biology/Bioinformatics. $3 898313
700 1 $a Hong, Huixiao. $3 3410275
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Challenges and advances in computational chemistry and physics ; $v v.30. $3 3410276
856 4 0 $u https://doi.org/10.1007/978-3-030-16443-0
950 $a Chemistry and Materials Science (Springer-11644)