Chemical structure drawings include many conventions for indicating configurations, the simplest of which is probably the dashed and solid wedges convention; but there are some limitations it doesn’t fully resolve. Read on for further explanation.
Digital Evolution of Analytical Data and Other Year End News | ACD/Labs 2021 in Review & 2022 Outlook
I am truly thankful to our users who collaborate with us on a daily basis, providing their advisory guidance on the evolving landscape of chemistry-driven industries; and to my colleagues, and our collaborators, who take these ideas and suggestions and embody them into useful practical software applications! Wishing all of you strong health and success in 2022!
1H NMR is the go-to technique to help identify or confirm the structure of organic compounds or those that contain protons. A solution-state proton spectrum is relatively fast to acquire, compared with other nuclei, and a lot of information about the structure of a compound can be deduced from it. With centuries of combined experience in NMR data interpretation, we thought we’d share the basics to help those just starting out with analyzing solution-phase 1H NMR spectra.
Software pilot programs help you ensure that new software will meet business goals and add value to your workflow. Your organization can test software on a small scale before making a large investment. Key stakeholders can then understand if the software is viable.
Our team of chemists recently reported a detailed analysis of Excel’s core weaknesses when used in pharmaceutical development as compared to ACD/Labs Luminata, as well as ELNs, CDSs, and LIMSs. Here are seven of Excel’s most pressing shortcomings that were identified in the paper.
The rapid increase in biopharmaceutical approvals and sales indicates their tremendous opportunities in the coming years. Innovative software solutions play an essential role in unlocking that potential. Learn more about how ACD/Labs brings chemical intelligence to biopharmaceutical research in this blog post.
Markush structures are useful in many places within chemistry, and creating them with chemistry drawing software takes no more time than regular chemical drawing. Read more about how adding Markush structure drawing to your skillset can help to accurately communicate your science.
Coding can take scientists from participants to owners of their data. More and more it is becoming clear that every organization needs to employ workers with data science skills. As more scientists become data scientists, the move towards digitalized data will accelerate.
The pharmaceutical industry has renewed its interest in HTE these last few years. Leaders see it as a way to get medicines to patients faster, but they’re also attracted by the sheer quantity of data generated in parallel experiments. How and where should HTE be set up for maximum success? Read this blog for questions that should be considered.
Richard Lee discusses the global trend around the development of machine learning (ML) and artificial intelligence (AI) capabilities. As utilization of ML/AI continues to grow, R&D organizations will likely continue to focus on how to normalize data into a format that can be fed into a ML/AI framework.