Cantitate/Preț
Produs

Computational Toxicology: Methods and Protocols: Methods in Molecular Biology, cartea 2834

Editat de Orazio Nicolotti
en Limba Engleză Hardback – 21 oct 2024
This second eidtion explores new and updated techniques used to understand solid target-specific models in computational toxicology.  Chapters are divided into four sections, detailing molecular descriptors, QSAR and read-across, molecular and data modeling techniques, computational toxicology in drug discovery, molecular fingerprints, AI techniques, and safe drug design. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Computational Toxicology: Methods and Protocols, Second Editon aims to ensure successful results in the further study of this vital field.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 81627 lei  38-44 zile
  Springer – 10 dec 2019 81627 lei  38-44 zile
Hardback (2) 109915 lei  6-8 săpt.
  Springer Us – 21 oct 2024 109915 lei  6-8 săpt.
  Springer – 23 iun 2018 129509 lei  6-8 săpt.

Din seria Methods in Molecular Biology

Preț: 109915 lei

Preț vechi: 115701 lei
-5% Nou

Puncte Express: 1649

Preț estimativ în valută:
21035 21914$ 17490£

Carte tipărită la comandă

Livrare economică 08-22 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781071640029
ISBN-10: 107164002X
Pagini: 508
Ilustrații: CDL, 450 p. 3 illus.
Dimensiuni: 178 x 254 mm
Greutate: 1.01 kg
Ediția:2nd ed. 2024
Editura: Springer Us
Colecția Humana
Seria Methods in Molecular Biology

Locul publicării:New York, NY, United States

Cuprins

QSAR: Using the Past to Study the Present.- Molecular similarity in predictive toxicology with a focus on the q-RASAR technique.- Weight of Evidence: criteria and applications.- Integration of QSAR and NAM in the Read Across process for an effective and relevant toxicological assessment.- Automated workflows for data curation and machine learning to develop Quantitative Structure-Activity Relationships.- Applicability Domain for Trustable Predictions.- The potential of molecular docking for predictive toxicology.- Computational toxicology methods in chemical library design and high-throughput screening hit validation.- Toxicity potential of nutraceuticals.- Development, use and validation of (Q)SARs for predicting genotoxicity and carcinogenicity: experiences from Italian National Institute of Health activities .- Adverse outcome pathways mechanistically describing hepatotoxicity.- Machine learning in early prediction of metabolism of drugs.- In vitro cell-based MTT and Crystal Violet assays for drug toxicity screening.- Recent advances in nanodrug delivery systems production, efficacy, safety and toxicity.- Investigating the benefit-risk profile of drugs: from spontaneous reporting systems to real word data for pharmacovigilance.- MolPredictX – a Pioneer Mobile App Version for Online Biological Activity Predictions by Machine Learning Models.- TIRESIA and TISBE, explainable artificial intelligence based web platforms for the transparent assessment of the developmental toxicity of chemicals and drugs.- PFAS-Biomolecule Interactions:  Case Study Using Asclepios Nodes and automated Workflows in KNIME for Drug Discovery and Toxicology.

Textul de pe ultima copertă

This second eidtion explores new and updated techniques used to understand solid target-specific models in computational toxicology.  Chapters are divided into four sections, detailing molecular descriptors, QSAR and read-across, molecular and data modeling techniques, computational toxicology in drug discovery, molecular fingerprints, AI techniques, and safe drug design. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.
 
Authoritative and cutting-edge, Computational Toxicology: Methods and Protocols, Second Editon aims to ensure successful results in the further study of this vital field.

Caracteristici

Includes cutting-edge methods and protocols Provides step-by-step detail essential for reproducible results Contains key notes and implementation advice from the experts