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

Computational toxicology : = methods...

Nicolotti, Orazio.

Linked to FindBook

Google Book

Amazon

博客來

Computational toxicology : = methods and protocols /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Computational toxicology :/ edited by Orazio Nicolotti.
Reminder of title:	methods and protocols /
other author:	Nicolotti, Orazio.
Published:	New York, NY :Humana Press, : c2018.,
Description:	xvi, 587 p. :ill. (some col.) ;26 cm.
Subject:	Toxicology - Laboratory manuals. - Data processing -
ISBN:	9781493993192

Computational toxicology : = methods and protocols /
Computational toxicology :methods and protocols /edited by Orazio Nicolotti. - New York, NY :Humana Press,c2018. - xvi, 587 p. :ill. (some col.) ;26 cm. - Springer protocols. - Springer protocols..

Includes bibliographical references and index.

Molecular descriptors for structure-activity applications : a hands-on approach /Francesca Grisoni, Davide Ballabio, Roberto Todeschini, and Viviana Consonni --

This volume explores techniques that are currently used to understand solid target-specific models in computational toxicology. The chapters are divided into four sections and discuss topics such as molecular descriptors, QSAR and read-across; molecular and data modeling techniques to comply both with scientific and regulatory sides; computational toxicology in drug discovery; and strategies on how to predict various human-health toxicology endpoints. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the methods and software tools used, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, Computational Toxicology: Methods and Protocols is a valuable resource for researchers who are interested in learning more about this expanding field.

ISBN: 9781493993192EUR119.99 Subjects--Topical Terms:

3587652
Toxicology
--Data processing--Laboratory manuals.Index Terms--Genre/Form:

3565837
Laboratory manuals.

LC Class. No.: RA1216

Dewey Class. No.: 615.900285

National Library of Medicine Call No.: QV 602

Computational toxicology : = methods and protocols /
LDR:05747cam a2200241 a 4500 001 2292364
008 221220s2018 nyua b 001 0 eng d
020 $a 9781493993192 $q (pbk.) : $c EUR119.99
020 $z 9781493978991 $q (ebk.)
020 $z 1493978993 $q (ebk.)
035 $a (OCoLC)1041852951 $z (OCoLC)1042810540 $z (OCoLC)1043886558 $z (OCoLC)1044719561 $z (OCoLC)1050960967 $z (OCoLC)1055346363 $z (OCoLC)1081274789 $z (OCoLC)1084338270
040 $a GW5XE $b eng $e aacr2 $e pn $c GW5XE $d RML $d AU@ $d YDX $d COO $d OCLCF $d TFH $d STF $d VT2 $d U3W $d LVT $d CAUOI $d OCLCQ $d OHS $d OCLCA
050 # 4 $a RA1216
060 # 4 $a QV 602
082 0 4 $a 615.900285 $2 23
245 0 0 $a Computational toxicology : $b methods and protocols / $c edited by Orazio Nicolotti.
260 # $a New York, NY : $b Humana Press, $c c2018.
300 $a xvi, 587 p. : $b ill. (some col.) ; $c 26 cm.
490 0 $a Springer protocols
490 0 $a Methods in molecular biology, $x 1940-6029 ; $v v. 1800
504 $a Includes bibliographical references and index.
504 $a Includes bibliographical references and index
505 0 0 $t Molecular descriptors for structure-activity applications : a hands-on approach / $r Francesca Grisoni, Davide Ballabio, Roberto Todeschini, and Viviana Consonni -- $t OECD QSAR toolbox starts its second decade / $r Terry W. Schultz, Robert Diderich, Chanita D. Kuseva, and Ovanes G. Mekenyan -- $t QSAR : what else? / $r Giuseppina Gini -- $t (Q)SARs as adaptations to REACH information requirements / $r Toni Alasuvanto, Andrea Gissi, Tomasz Sobanski, Panagiotis Karamertzanis, and Mike Rasenberg -- $t Machine learning methods in computational toxicology / $r Igor I. Baskin -- $t Applicability domain : a step toward confident predictions and decidability for QSAR modeling / $r Supratik Kar, Kunal Roy, and Jerzy Leszczynski -- $t Molecular Similarity in Computational Toxicology / $r Matteo Floris and Stefania Olla -- $t Molecular docking for predictive toxicology / $r Daniela Trisciuzzi, Domenico Alberga, Francesco Leonetti, Ettore Novellino, Orazio Nicolotti, and Giuseppe F. Mangiatordi -- $t Criteria and application on the use of nontesting methods within a weight of evidence strategy / $r Anna Lombardo, Giuseppa Raitano, Domenico Gadaleta, and Emilio Benfenati -- $t Characterization and management of uncertainties in toxicological risk assessment : examples from the opinions of the european food safety authority / $r Alberto Mantovani -- $t Computational toxicology and drug discovery / $r Catrin Hasselgren and Glenn J. Myatt -- $t Approaching pharmacological space : events and components / $r Giulio Vistoli, Alessandro Pedretti, Angelica Mazzolari, and Bernard Testa -- $t Computational toxicology methods in chemical library design and high-throughput screening hit validation / $r Kirk E. Hevener -- $t Enalos suite : new cheminformatics platform for drug discovery and computational toxicology / $r Dimitra-Danai Varsou, Spyridon Nikolakopoulos, Andreas Tsoumanis, Georgia Melagraki, and Antreas Afantitis -- $t Ion channels in drug discovery and safety pharmacology / $r Paola Imbrici, Orazio Nicolotti, Francesco Leonetti, Diana Conte, and Antonella Liantonio -- $t Computational approaches in multitarget drug discovery / $r Luciana Scotti, Hamilton Mitsugu Ishiki, Marcelo Cavalcante Duarte, Tiago Branquinho Oliveira, and Marcus T. Scotti -- $t Nanoformulations for drug delivery : safety, toxicity, and efficacy / $r Antonio Lopalco and Nunzio Denora -- $t Toxicity potential of nutraceuticals / $r Ramesh C. Gupta, Ajay Srivastava, and Rajiv Lall -- $t Impact of pharmaceuticals on the environment : risk assessment using QSAR modeling approach / $r Supratik Kar, Kunal Roy, and Jerzy Leszczynski -- $t (Q)SAR methods for predicting genotoxicity and carcinogenicity : scientific rationale and regulatory Frameworks / $r Cecilia Bossa, Romualdo Benigni, Olga Tcheremenskaia, and Chiara Laura Battistelli -- $t Stem cell-based methods to predict developmental chemical toxicity / $r Hiroki Takahashi, Xian-Yang Qin, Hideko Sone, and Wataru Fujibuchi -- $t Predicting chemically induced skin sensitization by using in chemico/in vitro methods / $r Laura H. Rossi and Janine Ezendam -- $t Hepatotoxicity prediction by systems biology modeling of disturbed metabolic pathways using gene expression data / $r Oriol López-Massaguer, Manuel Pastor, Ferran Sanz, and Pablo Carbonell -- $t Nontest methods to predict acute toxicity : state of the art for applications of in silico methods / $r Ronan Bureau -- $t Predictive systems toxicology / $r Narsis A. Kiani, Ming-Mei Shang, Hector Zenil, and Jesper Tegner -- $t Chemoinformatic approach to assess toxicity of ionic liquids / $r Anita Sosnowska, Anna Rybinska-Fryca, Maciej Barycki, Karolina Jagiello, and Tomasz Puzyn -- $t Prediction of biochemical endpoints by the CORAL software : prejudices, paradoxes, and results / $r Andrey A. Toropov, Alla P. Toropova, Alessandra Roncaglioni, and Emilio Benfenati.
520 # $a This volume explores techniques that are currently used to understand solid target-specific models in computational toxicology. The chapters are divided into four sections and discuss topics such as molecular descriptors, QSAR and read-across; molecular and data modeling techniques to comply both with scientific and regulatory sides; computational toxicology in drug discovery; and strategies on how to predict various human-health toxicology endpoints. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the methods and software tools used, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, Computational Toxicology: Methods and Protocols is a valuable resource for researchers who are interested in learning more about this expanding field.
650 # 0 $a Toxicology $x Data processing $v Laboratory manuals. $3 3587652
650 1 2 $a Toxicology $x methods. $3 777223
650 2 2 $a Models, Theoretical. $3 594123
650 2 2 $a Computer Simulation. $3 610859
650 2 2 $a Quantitative Structure-Activity Relationship. $3 600541
655 # 7 $a Laboratory manuals. $2 fast $3 3565837
700 1 # $a Nicolotti, Orazio. $3 3587650
830 0 $a Springer protocols. $3 1280415
830 0 $a Methods in molecular biology ; $v v. 1800. $3 3587651