Registry of biomedical companies:
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Nesserlander Str. 92
D-26723 Emden
Germany Phone: +49 (4921) 99-33-6 -0 E-Mail:
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Description:
PharmaInformatic is a German biotech company, which provides ADME/Tox Knowledge Bases and predictive tools (Expert Systems) to improve drug discovery and development. The company was founded in 2004 by Dr. Wolfgang Boomgaarden and is based in Emden, Germany. PharmaInformatic has developed PACT-F, the largest and most annotated knowledge base on bioavailability of drugs worldwide. Knowledge Bases: ![](http://www.pharmainformatic.com/assets/images/PactF_120.png)
PACT-F (Preclinical And Clinical Trials Knowledge Base on Bioavailability) contains experimental bioavailability results of clinical trials in humans and preclinical trials in animals. The results and conditions of those trials have been taken manually from reliable scientific publications. PACT-F contains the knowledge from more than 5000 scientific research articles related to bioavailability. The development of PACT-F commenced in 2005. PACT-F is now the largest knowledge base on bioavailability worldwide. It contains 8296 records, which are extensively annotated: up to 17 fields describe in detail the results and conditions of a trial.
Every record contains the investigated chemical structure. This enables scientists to build relationships between structures and properties and to select drug candidates with sufficient oral bioavailability for human clinical trials. The knowledge base has been used to develop models which estimate oral bioavailability in humans much more precisely than animal trials. PACT-F is the fundamental knowledge base to analyse the factors and conditions which influence bioavailability. It provides scientists with the results and knowledge of 100 years of bioavailability research in order to improve future drug design and drug development. The expert system IMPACT-F which calculates oral bioavailability of novel drug candidates is based of the knowledge of PACT-F. http://www.pharmainformatic.com/html/databases.html For further information on oral bioavailability of blockbuster drugs in humans and animals, see http://www.pharmainformatic.com/html/blockbuster_drugs.html ![Plasma Protein Binding Prediction of small molecules](https://www.pharmainformatic.com/assets/images/PPB_smallMol_zuPPB-2_400.png) 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) 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)
PharmaInformatic has developed a large and comprehensive annotated knowledge base on Plasma Protein Binding of compounds. It now contains more than 17.000 data records taken from more than 2.400 scientific publications. The technology improves toxicity assessment of compounds and discovery of new drugs. A current validation study showed a high quality of prediction (more). Expert Systems: PharmaInformatic´s expert systems help to identify and prioritise promising drug candidates for clinical trials in humans. Our products select compounds which display a high probability of becoming a successful drug: ![Prediction of oral bioavailability in humans](http://www.pharmainformatic.com/assets/images/IMPACT-F_343-6_120.png)
IMPACT-F The expert system IMPACT-F predicts the oral bioavailability of novel drugs in humans. The calculation is based on reliable computational models, which have been derived from the largest knowledge base on bioavailability worldwide (PACT-F). It is easy to use, it requires no chemical synthesis or animal experiments, it is much more reliable and cheaper than animal trials and results are almost immediately available.
IMPACT-F calculates human oral bioavailability much more precisely compared to animal trials. Bioavailability predictions of IMPACT-F were as accurate as the common deviation between individual humans taking part in the same clinical trial. Read current research results on bioavailability of drugs:
Further information:www.pharmainformatic.com/html/products.html ![PharmaInformatic](http://www.pharmainformatic.com/assets/images/logo_mit_blau.jpg)
PharmaInformatic, Friesenstr. 36, 26721 Emden, Germany Further information: www.pharmainformatic.com Keywords: PACT-F, Oral Bioavailability, ADME/Tox, Drug Discovery, ChemInformatics, Compound Selection, Lead Prioritisation, Blockbuster Drugs, Top selling drugs Selection of drug candidates for clinical trials in humans: IMPACT-F Lead Optimization and selection of a drug-candidate Read current Press Release: Artificial Intelligence optimizes discovery of future drugs (pdf) Unsere Forschung und Technologie ersetzt Tierversuche.
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Last update of this entry: June 18, 2023
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