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Drug Discovery and Evaluation

Pharmacological Assays - Second Edition

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  • 1452pagine
  • 51 ore di lettura

Maggiori informazioni sul libro

Now expanded and updated to include molecular biology and genetic engineering techniques. The second edition of this successful reference book contains a comprehensive selection of the most frequently used assays for reliably detecting the pharmacological effects of potential drugs. Each of the more than 1000 assays comprises a detailed protocol outlining the purpose and rationale of the method, a critical assessment of the results and their pharmacological and clinical relevance. The enclosed and fully searchable CD ROM allows easy identification of specific tests. An appendix with up-to-date guidelines and legal regulations for animal experiments in various countries will help the reader to plan experiments more effectively.

Acquisto del libro

Drug Discovery and Evaluation, Hans Gerhard Vogel, Wolfgang H. Vogel, Bernward A. Schölkens, Jürgen Sandow, Günter Müller, Wolfgang F. Vogel

Lingua
Pubblicato
2002,
Condizioni del libro
In buone condizioni
Prezzo
35,99 €

Metodi di pagamento

Titolo
Drug Discovery and Evaluation
Sottotitolo
Pharmacological Assays - Second Edition
Lingua
Inglese
Editore
Springer
Pubblicato
2002
Pagine
1452
ISBN10
3540423966
ISBN13
9783540423966
Serie
Descrizione
Now expanded and updated to include molecular biology and genetic engineering techniques. The second edition of this successful reference book contains a comprehensive selection of the most frequently used assays for reliably detecting the pharmacological effects of potential drugs. Each of the more than 1000 assays comprises a detailed protocol outlining the purpose and rationale of the method, a critical assessment of the results and their pharmacological and clinical relevance. The enclosed and fully searchable CD ROM allows easy identification of specific tests. An appendix with up-to-date guidelines and legal regulations for animal experiments in various countries will help the reader to plan experiments more effectively.