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 QSAR modeling = applicat...

Roy, Kunal.

Linked to FindBook

Google Book

Amazon

博客來

Advances in QSAR modeling = applications in pharmaceutical, chemical, food, agricultural and environmental sciences /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in QSAR modeling/ edited by Kunal Roy.
Reminder of title:	applications in pharmaceutical, chemical, food, agricultural and environmental sciences /
other author:	Roy, Kunal.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	x, 555 p. :ill., digital ;24 cm.
[NT 15003449]:	Performance parameters and validation practices in QSAR modeling -- Towards interpretable QSAR models -- The use of topological indices in QSAR and QSPR modeling -- The Maximum Common Substructure (MCS) search as a new tool for SAR and QSAR -- The universal approach for structural and physico-chemical interpretation of QSAR/QSPR models -- Generative Topographic Mapping approach -- Monte Carlo methods for solution of tasks in Environmental Sciences -- QSAR in Environmental Research -- QSAR applications for environmental chemical prioritization: Biotransformation of chemicals -- QSAR modeling in environmental risk assessment: application to the prediction of pesticide toxicity -- Counter propagation artificial neural network (CP ANN) models for prediction of carcinogenicity of non congeneric chemicals for regulatory uses -- Strategy for identification of critical nanomaterials properties linked to biological impacts: interlinking of experimental and computational approaches -- QSAR/QSPR modeling in the design of drug candidates with balanced pharmacodynamics and pharmacokinetic properties -- Molecular modeling of food chemicals as potential bioactive compounds -- On application QSARs in Food and Agricultural Sciences: History and Recent Developments.
Contained By:	Springer eBooks
Subject:	QSAR (Biochemistry) -
Online resource:	http://dx.doi.org/10.1007/978-3-319-56850-8
ISBN:	9783319568508

Advances in QSAR modeling = applications in pharmaceutical, chemical, food, agricultural and environmental sciences /
Advances in QSAR modelingapplications in pharmaceutical, chemical, food, agricultural and environmental sciences /[electronic resource] :edited by Kunal Roy. - Cham :Springer International Publishing :2017. - x, 555 p. :ill., digital ;24 cm. - Challenges and advances in computational chemistry and physics,v.242542-4491 ;. - Challenges and advances in computational chemistry and physics ;v.24..

Performance parameters and validation practices in QSAR modeling -- Towards interpretable QSAR models -- The use of topological indices in QSAR and QSPR modeling -- The Maximum Common Substructure (MCS) search as a new tool for SAR and QSAR -- The universal approach for structural and physico-chemical interpretation of QSAR/QSPR models -- Generative Topographic Mapping approach -- Monte Carlo methods for solution of tasks in Environmental Sciences -- QSAR in Environmental Research -- QSAR applications for environmental chemical prioritization: Biotransformation of chemicals -- QSAR modeling in environmental risk assessment: application to the prediction of pesticide toxicity -- Counter propagation artificial neural network (CP ANN) models for prediction of carcinogenicity of non congeneric chemicals for regulatory uses -- Strategy for identification of critical nanomaterials properties linked to biological impacts: interlinking of experimental and computational approaches -- QSAR/QSPR modeling in the design of drug candidates with balanced pharmacodynamics and pharmacokinetic properties -- Molecular modeling of food chemicals as potential bioactive compounds -- On application QSARs in Food and Agricultural Sciences: History and Recent Developments.

The book covers theoretical background and methodology as well as all current applications of Quantitative Structure-Activity Relationships (QSAR) Written by an international group of recognized researchers, this edited volume discusses applications of QSAR in multiple disciplines such as chemistry, pharmacy, environmental and agricultural sciences addressing data gaps and modern regulatory requirements. Additionally, the applications of QSAR in food science and nanoscience have been included - two areas which have only recently been able to exploit this versatile tool. This timely addition to the series is aimed at graduate students, academics and industrial scientists interested in the latest advances and applications of QSAR.

ISBN: 9783319568508

Standard No.: 10.1007/978-3-319-56850-8doiSubjects--Topical Terms:

684832
QSAR (Biochemistry)

LC Class. No.: QP517.S85

Dewey Class. No.: 572.4

Advances in QSAR modeling = applications in pharmaceutical, chemical, food, agricultural and environmental sciences /
LDR:03110nmm a2200325 a 4500 001 2100256
003 DE-He213
005 20170524043027.0
006 m d
007 cr nn 008maaau
008 180119s2017 gw s 0 eng d
020 $a 9783319568508 $q (electronic bk.)
020 $a 9783319568492 $q (paper)
024 7 $a 10.1007/978-3-319-56850-8 $2 doi
035 $a 978-3-319-56850-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QP517.S85
072 7 $a PNRP $2 bicssc
072 7 $a SCI013050 $2 bisacsh
082 0 4 $a 572.4 $2 23
090 $a QP517.S85 $b A244 2017
245 0 0 $a Advances in QSAR modeling $h [electronic resource] : $b applications in pharmaceutical, chemical, food, agricultural and environmental sciences / $c edited by Kunal Roy.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a x, 555 p. : $b ill., digital ; $c 24 cm.
490 1 $a Challenges and advances in computational chemistry and physics, $x 2542-4491 ; $v v.24
505 0 $a Performance parameters and validation practices in QSAR modeling -- Towards interpretable QSAR models -- The use of topological indices in QSAR and QSPR modeling -- The Maximum Common Substructure (MCS) search as a new tool for SAR and QSAR -- The universal approach for structural and physico-chemical interpretation of QSAR/QSPR models -- Generative Topographic Mapping approach -- Monte Carlo methods for solution of tasks in Environmental Sciences -- QSAR in Environmental Research -- QSAR applications for environmental chemical prioritization: Biotransformation of chemicals -- QSAR modeling in environmental risk assessment: application to the prediction of pesticide toxicity -- Counter propagation artificial neural network (CP ANN) models for prediction of carcinogenicity of non congeneric chemicals for regulatory uses -- Strategy for identification of critical nanomaterials properties linked to biological impacts: interlinking of experimental and computational approaches -- QSAR/QSPR modeling in the design of drug candidates with balanced pharmacodynamics and pharmacokinetic properties -- Molecular modeling of food chemicals as potential bioactive compounds -- On application QSARs in Food and Agricultural Sciences: History and Recent Developments.
520 $a The book covers theoretical background and methodology as well as all current applications of Quantitative Structure-Activity Relationships (QSAR) Written by an international group of recognized researchers, this edited volume discusses applications of QSAR in multiple disciplines such as chemistry, pharmacy, environmental and agricultural sciences addressing data gaps and modern regulatory requirements. Additionally, the applications of QSAR in food science and nanoscience have been included - two areas which have only recently been able to exploit this versatile tool. This timely addition to the series is aimed at graduate students, academics and industrial scientists interested in the latest advances and applications of QSAR.
650 0 $a QSAR (Biochemistry) $3 684832
650 1 4 $a Chemistry. $3 516420
650 2 4 $a Theoretical and Computational Chemistry. $3 890863
650 2 4 $a Pharmaceutical Sciences/Technology. $3 1001579
650 2 4 $a Environmental Chemistry. $3 900594
650 2 4 $a Food Science. $3 890841
650 2 4 $a Medicinal Chemistry. $3 892420
650 2 4 $a Agriculture. $3 518588
700 1 $a Roy, Kunal. $3 2145302
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.24. $3 3241757
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-56850-8
950 $a Chemistry and Materials Science (Springer-11644)