£135.78

Springer - Recent Advances in QSAR Studies: Methods and Applications

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Description

In a changing economic landscape, the chemical industry is finding new ways to maintain efficiency and manage costs. As research and development face new financial realities, the demand for effective replacements for time-consuming processes has grown. This volume from the Challenges and Advances in Computational Chemistry and Physics series addresses this need by focusing on models with true predictive capability. Recent Advances in QSAR Studies explores the methods and applications required to navigate modern chemical research. By prioritizing computational models, professionals in the pharmaceutical and chemical industries can find more efficient paths through product registration and risk assessment. This book provides a deep look into how these predictive tools function and how they can be applied to solve practical problems in a shifting economic environment. Whether you are working in research, development, or regulatory assessment, this text offers insights into the computational tools driving the future of the industry.

Key Features

Explores predictive computational models designed to replace costly and time-consuming traditional processes in the chemical industry.

Provides essential insights for professionals working in pharmaceutical research, product registration, and risk assessment.

Addresses the shift toward efficient research and development methods necessitated by changing global economic climates.

Part of the recognized Challenges and Advances in Computational Chemistry and Physics series from Springer.

Offers practical knowledge on applying QSAR studies to various sectors within the chemical industries.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
03 December 2009
Listed Since
05 January 2009

Barcode

No barcode data available

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