I want to see a list of the most widely used PK/PD software (pharmacokinetic) that is used by big pharma and biotech.
WinNonlin from Certara is the most widely used softare for PK/PD analysis.
Phoenix / WinNonlin for NCA and Individual PK/PD analysis
Phoenix / NLME and NONMEM for POPPK/PD modeling and simulations.
SAS and R for data creation, summary and statistical analysis
Two years ago I endorsed Soujanya Sunkaraneni’s comments on this issue. Nowadays I re-endorse her comments. But I have to add that Pmetrics, developed by Dr. Michael Neely from LAPKB at USC, LA, is a powerful tool for conventional and popPK analysis in case of “poor data scenarios”.
Dear Benedict:
NONMEM and other parametric methods are for the statisticians and the industry, who should care more but don't. If you want to take the best care of individual patients at the bedside, with software that develops dosage regimens to hit a specifically selected target (not a range) you will never be able to do this with the usual parametric PK/PD modeling methods used by the industry. Only nonparametric (NP) modeling approaches can give you the multiple predictions required for multiple model (MM) dosage design in order to find the dose which minimizes the weighted squared error in target achievement. Parametric models have only one version (based on the mean parameter values), so there is nothing to optimize.
Also, NONMEM only calculates the likelihood function in an approximate way, and thus gives wrong results which result in wrong doses, nor how inefficient it is in the information it gets from the raw data. It should take only 4 times as many sublects to redice the standard deviations of model parameter estimates by half. With NONMEM it takes 16 times as many! They never check things like this, so they never see how much in error their results can be. Maximally precise dosage, which the industry never cares about but should, is what they need Their problem is that parametric methods are totally blind to the issue of dosage precision. This may well explain the total lack of any apparent interest in this issue shown by the industry. also. I have asked people whether or not it bothers them that they use methods with only approximate calculations of the likelihood. They say no, probably because they have never checked how much off they can be. Pharmacometrics is a branch of conventional statistics, and statisticians deal in groups, not individual patients. Good adaptive control comes from the military, who care a good deal about hitting targets with maximum precision.
NP models, exact likelihoods, and MM dosage design are what patients need to get maximally precise dosing. NONMEM is for the industry, and is obsolete. The industry also would benefit greatly from using the more capable and general NP approaches. More info from the web site www.lapk.org, and in the book, edited by Dr. Michael Neely and myself, "Individualized Drug Therapy for Patients", at Amazon or Elsevier.
Hello, I need to ask a question ... WinNonlin, or Pmetrics can they be used in real patients?
Roger Jelliffe Hi dear, I would like to download your BestDose program, how can I do it?
I apologize for my bad English proficiency
Hi Pablo,
YES, you can use Pmetrics and BestDose programs for performing real patients dosing adjustments. Even more, you can use Pmetrics to build up your own popPK model in special patients populations of any drug you are interested in its safe and efficacious therapeutic application. Of course, you have to dispose with validated bioanalytical method and lab for performing drug bioanalysis.
Dear Pablo:
You can get Bestdose by asking for it from Michael Neely at [email protected]. That way he knows who has it, for his progress reports to NIH. I am also attaching some relevant slides which you might find useful. Also, we have edited a book together "Individualized Drug Therapy for Patients" which you can see more about at Elsevier or Amazon. Put in the title and the book should come up. The book has all the info up to that time.
All the best,
Roger Jelliffe
Dear Pablo:
Did the attached slides come through to you OK? Please let me know. My
email is [email protected].
All the best,
Roger
Dimiter Terziivanov Thank you very much for your help, I will get in touch with the suppliers of Pmetrics !!.
Roger Jelliffe Dear, if I got your PPT, and I just sent an email to Michael Neely. I hope you can help me to expedite the efforts because for me it would be super important to have a method that allows me to predict a little more the plasma levels of some drugs and thus help my patients. I thank you for the information with which you have provided me. I hope someday to meet them and do some work together when !. thank you very much for your help!
PS: I apologize again for my bad English
You are very welcome, Pablo! Please let e know if you have any problems.
All the best,
Roger
:)
The question should be answered more precisely, I believe.
For that purpose, we need to take the question apart.
a) "Part 1: Which PK pharmacokinetic software is most widely used by the pharma industry?"
Phoenix (formerly known as WinNonlin) is probably the most widely used software for PK per se. When it comes to population PK modeling (the question is not precise here), NONMEM might be the answer. Monolix is quite popular, too, and Berkeley Madonna is very frequently used for visualization (but not for modeling, i.e., fitting). There are other contenders, too, including Phoenix.
The original question then continues as "I want to see a list of the most widely used PK/PD software (pharmacokinetic) that is used by big pharma and biotech."
PD now enters the game. Phoenix/WinNonlin is not that frequently used if PD (modeling) is included. The question does not use the term "modeling" though, so SAS or R for PD analyses are common, too (see dose-response modeling, but that is not PK).
If PK/PD modeling (model fitting) was intended to be covered, NONMEM and Monolix are high on the list again with newcomers such as nlmixR and older packages such as ADAPT or SAAM.
You could create some data on software use by browsing through conference papers and abstracts (ASCPT, EACPT, ACCP, PKUK) or journals (JCP, CPT, BJCP, EJPS, etc.). The original question is not clear about whether modeling is included or not. These conferences would include PAGE (searchable abstracts) and ACOP with journals JPKPD and CPT:PSP and a few others.
Overall I wonder what the point is. "Most widely used" has some correlation with "best" but the question is obviously more complex and beauty is certainly in the eye of the beholder.
Nonparametric (NP) pop modeling with NPAG and the clinical use of NP models are the only software I know that specifically maximize the precision with which a dosage regimen hits a specific desired clinical target goal. The other software is in wide use, but they all, as far as I know, use parametric models which only use mean values for the population models and have no way to evaluate or maximize the precision with which a target goal is hit. You might look at "Individualized Drug Therapy for Patients", ed by myself and Michael Neely. Enter the title into Amazon or Elsevier, and it should come up..
Does anyone have any thoughts on Simulations Plus offerings? Like their GastroPlus for PK/PD?
Roger Jelliffe Al final, nunca fuí contactado :(
Alguien sabe si Phoenix, NONMEM o Pmetric permite modelar de la misma forma como lo hace PKS de ABBOTT?
o... alguien me puede facilitar PKS de ABBOTT? quiero comenzar a realizar mi propio modelo farmacocinetico poblacional de vancomicina y acido valproico
Hola Pablo, Phoenix es muy fácil de modelar;
https://www.certarauniversity.com/store/840942-024-tu-phoenix-nlme-8-3-tutorial
tanto individual como poblacional.
No conozco al Abott PKS pero parece bastante antiguo ...~1994
Simon AA Davis lamento profundamente esta noticia...
Probaré que tal Phoenix. Muchas gracias Simon!
Several widely used and highly regarded pharmacokinetic/pharmacodynamic (PK/PD) software tools are utilized by big pharma and biotech companies.
1. NONMEM (Nonlinear Mixed Effects Modeling): NONMEM is a widely used population PK/PD modeling and analysis software. It provides powerful tools for model development, parameter estimation, and simulation, allowing researchers to analyze complex PK/PD data.
2. Phoenix WinNonlin: Phoenix WinNonlin is a comprehensive PK/PD software package offering a range of data analysis, modeling, and simulation features. It is commonly used for non-compartmental analysis (NCA), compartmental modeling, and population PK/PD modeling.
3. GastroPlus: GastroPlus is a simulation software that specializes in predicting the absorption, distribution, metabolism, and excretion (ADME) of drugs. It integrates PBPK (physiologically based pharmacokinetic) modeling with mechanistic absorption and dissolution models, allowing researchers to assess the impact of various factors on drug behavior.
4. Simcyp Simulator: The Simcyp Simulator is a PBPK modeling and simulation platform. It is widely used in drug development to predict drug behavior in different populations, including special populations like pediatrics and pregnant women. The software incorporates extensive physiological and genetic data to enable accurate predictions.
5. Berkeley Madonna: Berkeley Madonna is a versatile software package for mathematical modeling and simulation, including PK/PD modeling. It provides a user-friendly interface for building and solving differential equation-based models, making it popular among PK/PD modeling researchers.
There are several popular software tools widely used in the pharmaceutical industry for pharmacokinetic (PK) analysis. Some of the commonly used PK software include:
It's important to note that the choice of PK software may vary depending on the specific needs of the pharmaceutical company, the complexity of the analysis, and the preferences of the researchers and scientists involved. Different software tools offer different features and capabilities, and the selection often depends on the specific requirements of the PK analysis being conducted.
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