Nonclinical pharmacodynamic studies in the drug discovery process: Who, what, how, whenMATTEUORIENATE AMATTEUORIENATE BALDOSE REDUCTASEMATTEUCCIA ORIENTALIS.doi:10.1002/ddr.430320403Ronald D. SmithJohn Wiley & Sons, Ltd.Drug Development Research
Although target-based drug discovery is currently the dominant approach to drug discovery and development, the latest comprehensive assessment shows that its results are not as good as they could be. The number of drugs discovered by this approach is relatively small, and their therapeutic effects r...
What kind of biological data (proteomic, genomic, transcriptomic, etc.) does one need in the drug discovery process?Drug development:The drug development process is long, expensive and tedious. The drug developer must take many precautions along the proces...
We first attempted to simulate the effect of (i) speeding up phases in the drug discovery process, (ii) making them cheaper and (iii) making individual phases more successful on the overall financial outcome of drug-discovery projects. In every case, an improvement of the respective measure (...
What Is Antibody Drug Discovery Sep 12, 2018 Antibody drug discovery and development is the process of identifying new therapeutic antibodies to combat different diseases such as cancers, HIV, autoimmune, hereditary, and more. The technologies used to discover these antibody-based drug candidates ...
Potential drug–drug interactions mediated by ATP-binding cassette (ABC) and solute carrier (SLC) transporters are of clinical and regulatory concern, but the endogenous function of these drug transporters is unclear. Nigam describes the evidence that th
7. Drug Discovery and Development AI can be used to analyze vast datasets of chemical compounds and identify potential drug candidates. This can accelerate the drug discovery process and lead to the development of new treatments for diseases. ...
PublicationsWhat is the IP Risk Profile in AI Drug Discovery? December 18, 2024 PublicationsSome AI-Discovered Drugs Carry More IP Risks Than Others—Here's Why December 16, 2024 PublicationsAI & Drug Discovery: Key Patent Considerations
While target-based screening has historically been the leading method of drug discovery, progress made thanks to developments in machine learning (ML) has led to phenomics being one of the most exciting fields in biopharma today. Any researcher worth their salt will tell you that understanding huma...
drug developmenthistoryvalproateIntroduction The discovery of of the anticonvulsant properties of valproic acid and the development of of valproic acid/valproate to market authorization for specific epilepsy types and syndromes, as well as their repurposing for other indications, are illustrative examples of...