417,95 €
464,39 €
-10% with code: EXTRA
Ecotoxicological Qsars
Ecotoxicological Qsars
417,95
464,39 €
  • We will send in 10–14 business days.
Part I: Introduction 1. Ecotoxicological Risk Assessment in the Context of Different EU Regulations Antonio Juan García-Fernández 2. A Brief Introduction to Quantitative Structure-Activity Relationships as Useful Tools in Predictive Ecotoxicology Rahul Balasaheb Aher, Kabiruddin Khan, and Kunal Roy 3. Best Practices for Constructing Reproducible QSAR Models Chanin Nantasenamat 4. Wildlife Sentinels for Human and Environmental Health Hazards in Ecotoxicological Risk Assessment Anto…
  • Publisher:
  • ISBN-10: 1071601520
  • ISBN-13: 9781071601525
  • Format: 17.8 x 25.4 x 4.3 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

Ecotoxicological Qsars (e-book) (used book) | bookbook.eu

Reviews

(5.00 Goodreads rating)

Description

Part I: Introduction

1. Ecotoxicological Risk Assessment in the Context of Different EU Regulations

Antonio Juan García-Fernández

2. A Brief Introduction to Quantitative Structure-Activity Relationships as Useful Tools in Predictive Ecotoxicology

Rahul Balasaheb Aher, Kabiruddin Khan, and Kunal Roy

3. Best Practices for Constructing Reproducible QSAR Models

Chanin Nantasenamat

4. Wildlife Sentinels for Human and Environmental Health Hazards in Ecotoxicological Risk Assessment

Antonio Juan García-Fernández, Silvia Espín, Pilar Gómez-Ramírez, Emma Martínez-López, and Isabel Navas

Part II: Methods and Protocols

5. Importance of Data Curation in QSAR Studies Especially While Modeling Large-Size Data Sets

Pravin Ambure and M. Natália Dias Soeiro Cordeiro

6. Machine Learning and Deep Learning Methods in Ecotoxicological QSAR Modeling

Giuseppina Gini and Francesco Zanoli

7. Use of Machine Learning and Classical QSAR Methods in Computational Ecotoxicology

Renata P.C. Barros, Natália F. Sousa, Luciana Scotti, and Marcus T. Scotti

8. On the Relevance of Feature Selection Algorithms While Developing Non-Linear QSARs

Riccardo Concu and M. Natália Dias Soeiro Cordeiro

9. Got to Write a Classic: Classical and Perturbation-Based QSAR Methods, Machine Learning, and the Monitoring of Nanoparticles Ecotoxicity

Ana S. Moura and M. Natália Dias Soeiro Cordeiro

10. Ecotoxicological QSAR Modeling of Nanomaterials: Methods in 3D-QSARs and Combined Docking Studies for Carbon Nanostructures

Bakhtiyor Rasulev

11. Early Prediction of Ecotoxicological Side-Effects of Pharmaceutical Impurities Based on Open-Source Non-Testing Approaches

Anna Rita Tondo, Michele Montaruli, Giuseppe Felice Mangiatordi, and Orazio Nicolotti

12. Conformal Prediction for Ecotoxicology and Implications for Regulatory Decision Making

Fredrik Svensson and Ulf Norinder

13. Read-Across for Regulatory Ecotoxicology

Gulcin Tugcu, Serli Önlü, Ahmet Aydın, and Melek Türker Saçan

14. Methodological Protocol for Assessing the Environmental Footprint by Means of Ecotoxicological Tools: Wastewater Treatment Plants as an Example Case

Roberta Pedrazzani, Pietro Baroni, Donatella Feretti, Giovanna Mazzoleni, Nathalie Steimberg, Chiara Urani, Gaia Viola, Ilaria Zerbini, Emanuele Ziliani, and Giorgio Bertanza

Part III: Case Studies and Literature Reports

15. Development of Baseline Q

EXTRA 10 % discount with code: EXTRA

417,95
464,39 €
We will send in 10–14 business days.

The promotion ends in 18d.13:27:54

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 4,64 Book Euros!?
  • Publisher:
  • ISBN-10: 1071601520
  • ISBN-13: 9781071601525
  • Format: 17.8 x 25.4 x 4.3 cm, softcover
  • Language: English English

Part I: Introduction

1. Ecotoxicological Risk Assessment in the Context of Different EU Regulations

Antonio Juan García-Fernández

2. A Brief Introduction to Quantitative Structure-Activity Relationships as Useful Tools in Predictive Ecotoxicology

Rahul Balasaheb Aher, Kabiruddin Khan, and Kunal Roy

3. Best Practices for Constructing Reproducible QSAR Models

Chanin Nantasenamat

4. Wildlife Sentinels for Human and Environmental Health Hazards in Ecotoxicological Risk Assessment

Antonio Juan García-Fernández, Silvia Espín, Pilar Gómez-Ramírez, Emma Martínez-López, and Isabel Navas

Part II: Methods and Protocols

5. Importance of Data Curation in QSAR Studies Especially While Modeling Large-Size Data Sets

Pravin Ambure and M. Natália Dias Soeiro Cordeiro

6. Machine Learning and Deep Learning Methods in Ecotoxicological QSAR Modeling

Giuseppina Gini and Francesco Zanoli

7. Use of Machine Learning and Classical QSAR Methods in Computational Ecotoxicology

Renata P.C. Barros, Natália F. Sousa, Luciana Scotti, and Marcus T. Scotti

8. On the Relevance of Feature Selection Algorithms While Developing Non-Linear QSARs

Riccardo Concu and M. Natália Dias Soeiro Cordeiro

9. Got to Write a Classic: Classical and Perturbation-Based QSAR Methods, Machine Learning, and the Monitoring of Nanoparticles Ecotoxicity

Ana S. Moura and M. Natália Dias Soeiro Cordeiro

10. Ecotoxicological QSAR Modeling of Nanomaterials: Methods in 3D-QSARs and Combined Docking Studies for Carbon Nanostructures

Bakhtiyor Rasulev

11. Early Prediction of Ecotoxicological Side-Effects of Pharmaceutical Impurities Based on Open-Source Non-Testing Approaches

Anna Rita Tondo, Michele Montaruli, Giuseppe Felice Mangiatordi, and Orazio Nicolotti

12. Conformal Prediction for Ecotoxicology and Implications for Regulatory Decision Making

Fredrik Svensson and Ulf Norinder

13. Read-Across for Regulatory Ecotoxicology

Gulcin Tugcu, Serli Önlü, Ahmet Aydın, and Melek Türker Saçan

14. Methodological Protocol for Assessing the Environmental Footprint by Means of Ecotoxicological Tools: Wastewater Treatment Plants as an Example Case

Roberta Pedrazzani, Pietro Baroni, Donatella Feretti, Giovanna Mazzoleni, Nathalie Steimberg, Chiara Urani, Gaia Viola, Ilaria Zerbini, Emanuele Ziliani, and Giorgio Bertanza

Part III: Case Studies and Literature Reports

15. Development of Baseline Q

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)