» » 3D QSAR in Drug Design: Ligand-Protein Interactions and Molecular Similarity (Three-Dimensional Quantitative Structure Activity Relationships)

Free eBook 3D QSAR in Drug Design: Ligand-Protein Interactions and Molecular Similarity (Three-Dimensional Quantitative Structure Activity Relationships) download

by Hugo Kubinyi,Gerd Folkers,Yvonne C. Martin

Free eBook 3D QSAR in Drug Design: Ligand-Protein Interactions and Molecular Similarity (Three-Dimensional Quantitative Structure Activity Relationships) download ISBN: 0792347900
Author: Hugo Kubinyi,Gerd Folkers,Yvonne C. Martin
Publisher: Springer; Volume 2 also available as Volumes 9-11 (1997) and Volume 3 as Volumes 12-14 (1998) of PERSPECTIVES IN DRUG DISCOVERY AND DESIGN, 1998 edition (April 30, 1998)
Language: English
Pages: 417
Category: Other
Subcategory: Medicine and Health Sciences
Size MP3: 1860 mb
Size FLAC: 1751 mb
Rating: 4.5
Format: lit docx txt mbr


3D QSAR in Drug Design. Theory, Methods and Applications, published in 1993.

3D QSAR in Drug Design. The aim of that early book was to contribute to the understanding and the further application of CoMFA and related approaches and to facilitate the appropriate use of these methods. Since then, hundreds of papers have appeared using the quickly developing techniques of both 3D QSAR and computational sciences to study a broad variety of biological problems.

See and discover other items: protein chemistry book.

ISBN-13: 978-0792347903. This item: 3D QSAR in Drug Design: Ligand-Protein Interactions and Molecular Similarity (Three-Dimensional Quantitative Structure Activity Relationships). Pages with related products. See and discover other items: protein chemistry book.

Электронная книга "3D QSAR in Drug Design: Ligand-Protein Interactions and Molecular Similarity", Hugo Kubinyi, Gerd Folkers, Yvonne C. Martin

Электронная книга "3D QSAR in Drug Design: Ligand-Protein Interactions and Molecular Similarity", Hugo Kubinyi, Gerd Folkers, Yvonne C. Martin. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "3D QSAR in Drug Design: Ligand-Protein Interactions and Molecular Similarity" для чтения в офлайн-режиме.

Hugo Kubinyi, Gerd Folkers, Yvonne C. 3D QSAR in Drug Design. Theory, Methods and Applications, published in 1993

Hugo Kubinyi, Gerd Folkers, Yvonne C.

Quantitative structure–activity relationship models (QSAR models) are regression or classification models used in the chemical and biological sciences and engineering. Like other regression models, QSAR regression models relate a set of "predictor" variables (X) to the potency of the response variable (Y), while classification QSAR models relate the predictor variables to a categorical value of the response variable.

3D Qsar in Drug Design book. Goodreads helps you keep track of books you want to read. Start by marking 3D Qsar in Drug Design: Ligand-Protein Interactions and Molecular Similarity as Want to Read: Want to Read savin. ant to Read. Theory, Methods and Applications, published in 1993 Significant progress has been made in the study of three-dimensional quantitative structure-activity relationships (3D QSAR) since the first publication by Richard. Significant progress has been made in the study of three-dimensional quantitative structure-activity relationships (3D QSAR) since the first publication by Richard Cramer in 1988 and the first volume in the series.

Are you sure you want to remove 3D QSAR in Drug Design: Volume 2: Ligand-Protein Interactions and Molecular Similarity Volume 3 from your list? 3D QSAR in Drug Design: Volume 2: Ligand-Protein Interactions and Molecular Similarity Volume 3. Recent Advances (Three-Dimensional Quantitative Structure Activity Relationships). by Hugo Kubinyi, Gerd Folkers, Yvonne Connolly Martin. Published December 31, 1899 by Springer. Drugs, QSAR (Biochemistry), Design.

Quantitative Structure-Activity Relationship. Comparative Molecular Similarity Indices Analysis. Comparative Molecular Field Analysis. Quantitative Structure Activity Relation. The 3D-QSAR based pharmacophore model has been used to predict the binding affinity of the test set ligands thereby predicting the pharmacological activity of those ligands well before an actual synthesis. Also, building pharmacophores of human ADMET-related proteins (cytochrome enzymes) aids in the identification of various pharmacokinetic properties such as ADMET (absorption, distribution, metabolism, excretion, and toxicity).

Significant progress has been made in the study of three-dimensional quantitative structure-activity relationships (3D QSAR) since the first publication by Richard Cramer in 1988 and the first volume in the series. 3D QSAR in Drug Design. Theory, Methods and Applications, published in 1993. The aim of that early book was to contribute to the understanding and the further application of CoMFA and related approaches and to facilitate the appropriate use of these methods. Since then, hundreds of papers have appeared using the quickly developing techniques of both 3D QSAR and computational sciences to study a broad variety of biological problems. Again the editor(s) felt that the time had come to solicit reviews on published and new viewpoints to document the state of the art of 3D QSAR in its broadest definition and to provide visions of where new techniques will emerge or new appli- tions may be found. The intention is not only to highlight new ideas but also to show the shortcomings, inaccuracies, and abuses of the methods. We hope this book will enable others to separate trivial from visionary approaches and me-too methodology from in- vative techniques. These concerns guided our choice of contributors. To our delight, our call for papers elicited a great many manuscripts.