What do you think of when you hear the word predict? Before I started grad school, I probably would have answered that question with crystal balls and fortune tellers. In reality, scientific predictions are calculations based on empirical evidence - not gut feelings. When used appropriately, they play an integral role in expediting academic and industrial workflows, reducing instrument time, and ultimately, saving money.
In 2017 we conducted our first formal customer service oriented survey. Completed by 482 industry professionals working in pharmaceuticals, academia, agrosciences, life science, and chemicals and materials science, our survey explored satisfaction with ACD/Labs’ support, responsiveness, employee knowledge, and overall software quality. A summary of the results is presented here.
As 2017 comes to an end, Daria Thorp, President and CEO of ACD/Labs, looks back the company's 23 year history, and recounts some of its notable solutions, including ACD/Spectrus, ACD/Name and ACD/Percepta. She also discusses Luminata, ACD/labs' award winning impurity control informatics solution, which was introduced earlier this year.
Last week, we announced updates across our suite of informatics software! These improvements deliver enhanced functionality to a number of offerings on the ACD/Spectrus and ACD/Percepta Platforms. The updates also includes the introduction of our all-new metabolite identification solution, MetaSense.
In my past life, before ACD/Labs, I was an organic/medicinal chemist. I share this because it’s relevant to the topic. My first responsibility at ACD/Labs was to create materials to support our PhysChem product line. Many of the descriptors that made up the products I was charged with talking about—such as pKa, solubility, etc.—were first introduced to me by Mr. Jackson, my chemistry teacher in secondary school (high school). The others I learned about during my BSc and PhD—logP (from Lipinski’s rule-of-5), for example. I will confess, however, that when I was asked in my interview how I applied/considered logD values in my research I was completely stumped. What’s logD? I’d never heard of it!