Tuesday, April 22, 2008

PKPD Books

I havent had a chance to blog about anything in the past few days. I wanted to break the ice and start writing something today. So, here I go with the list of important books that I have read or am reading and am aiming to finish reading in the next few months. I usually start with the chapters most interesting and try to read a chapter a day. So here is my list...

1. Pharmacokinetic-Pharmacodynamics Modeling and Simulation -Peter L Bonate. I have already finished most chapters and feel its a very good book for beginners, loaded with all the essential basics, and boosting inspirational quotes at the start of each chapter.

2. Pharmacometrics: The Science of Quantitative Pharmacology - Ene I. Ette and Paul J. Williams. I have read the book and have used some of the NONMEM codes for parent metabolite, eneterohepatic recirculation and PKPD modeling. Excellent book and a must read for those aspiring to be a pharmacometrician.

3. Principles of Clinical Pharmacology. Arthur J. Atkinson et al. A very good book covering all aspects of clinical pharmacology with chapters on clinical pharmacogenetics, population pharmacokinetics, disease progression models, drug therapy in pregnant and nursing women, drug discovery and development... Very ineteresting range of topics and a must read.

4. Dose Optimization in Drug Development - Rajesh Krishna. As the title goes, this book provides views of various experts on dose selection and optimization in drug development. It covers important topics like disease progression modeling, dose selection in first in man studies, biomarkers, PK/PD variability, pharmacogenetics, paediatric dose optimization
As quoted by Rajesk Krishna " The book will appeal to anyone who would like to appreciate how integration of sciences facilitates meaningful changes in delineating risk versus benefit and ultimately in the selection of safe and effective doses"


How about you? I would appreciate if you could share some of the books that you have enjoyed learning.

5 comments:

Anonymous said...

ganesh, good to see a PKPD blog, other book that I have found useful is by Davidian and Giltinan, Nonlinear Models for repeated measures. It is not a basic book, I had a tough time through it. However most complete text on statistical issues of PKPD modeling.

AM Lexi said...

g2: Thanks for stopping by and providing the information on the book by Davidian and Giltinan. I appreciate it.

Anonymous said...

Hey Buddy,
nice blog..would love to see more postings. I'm basically a Clin.Pharmacology graduate working the industry in data management. Have been learning a lot of softwares during this transition and have come across WinNONLIN and NONMEM. Have seen a textbook on PHARMACOMETRICS- Science of Quantitative Pharmacology by Ene.I & Paul.J.Willams. Wud be a good place to go? I just wan't explosure to software.Strong in pk/pd basics. Suggestions??

AM Lexi said...

Anon: Thanks for pointing that book. I think its a great book, but needs a good basic understanding of PK PD knowledge. It has many good case studies with SPLUS and NONMEM codes to try out. May be you should start out with Dan Wiener's "PKPD Data Analysis- Concepts & Applications". This book provides basics of PKPD analyis and also comes with winnonlin examples in a CD or Floppy, which you can try out . For NONMEM, you may want to read NMusers archive which has wealth of information, in addition to the manuals. Is this something you were looking for?

Murad said...

TAnon: if you are math-oriented, a good book to start is the original book on Pharmacokinetics by Gibaldi. It is very valuable. If you would like more basic PK and PK/PD books that speak simpler math language and takes time defining notations, the book "Pharmacokinetics : Principles and Applications"~by Mehdi Boroujerdi. Another good book is by Mohsen Hedaya, also basic but adds new concepts of PK/PD.
Once you have the basic understanding, then you can build the statistical aspects of the analyses and delve more into the Pharmacometrics book by Dr. Ette.
I hope this helps.
Murad