LogP—Making Sense of the Value
Learn how logP is measured, what the values mean, and how logP is applied in various R&D industries.
The Importance of Training Predictors
This application note discusses the importance of using the machine learning (model training) capabilities of predictive models to improve accuracy.
Lipophilicity Descriptors: Understanding When to Use LogP & LogD
LogP vs logD? Learn why logD is the most relevant lipophilicity descriptor in R&D and see how it may be applied in drug discovery to understand physiological/in vivo behaviors.
FDA to Collaborate with ACD/Labs to Develop Predictive QSAR Models
Toronto, Canada (Nov. 4, 2010)—Advanced Chemistry Development, Inc., (ACD/Labs) announced today that the U.S. Food and Drug Administration (FDA) and ACD/Labs will work together in a five-year research collaboration to develop quantitative structure-activity relationship (QSAR) toxicity models for FDA regulatory and research applications. Under this collaborative agreement, the FDA will provide non-proprietary toxicology data for...
ACD/Labs and Pharma Algorithms Join Forces to Strengthen In Silico Screening and Prediction
Toronto, Canada (February 9, 2009)—Advanced Chemistry Development, Inc., (ACD/Labs) and Pharma Algorithms, Inc., have joined software development and business resources to better serve the extensive Chemical, Environmental, and Pharmaceutical markets, creating a new leader in in silico physicochemical, ADME, Metabolism, and Toxicology screening and prediction. Both private companies have been in business for over a decade and...
CAS Will Enrich Databases with Calculated Properties and Reactions Back to 1975
STN®, SciFinder® and SciFinder Scholar Will Give Researchers More Powerful Content for Scientific Discovery Columbus, OH, August 26, 2001 – Chemical Abstracts Service (CAS) is extending the reach and content of its databases, already recognized as the world’s most comprehensive for chemistry-related research and substance information. Researchers seeking candidate substances for new drugs will benefit...