Search results Search for: Search Refine your results by duration: Any Under 5 mins Under 20 mins Over 20 mins Sort by: Relevance Views Date Reaction condition prediction using Reaxys: from raw data to best-in-class model Timur Madzhidov , Assistant Professor, Department of Organic and Medicinal Chemistry, Kazan Federal University Do you find it a challenge selecting optimal reaction conditions in the development of a synthesis strategy, or are you developing different approache... 10 months ago | 45 mins Charting the chemical reaction space for DNA-encoded library design Dr Andreas Brunschweiger, Professor at Chemistry and Chemical Biology of TU Dortmund DNA-encoded libraries (DELs) are a powerful technology for target-based small molecule screening. DEL design raises the question of chemical reaction ... 10 months ago | 49 mins Reaxys training webinar - Medicinal Chemistry Dr Marta da Pian This Reaxys training webinar will focus on Medicinal Chemistry. The following topics will be addressed in this session: 1. Query builder (Target se... 2 years ago | 45 mins 特定ターゲットに対して活性を示す化合物の同定 ～Reaxys/Reaxys Medicinal Chemistryを用いたSAR解析～ 鈴木 直子 生物活性データを保持するReaxys Medicinal ChemistryをReaxys上で利用し、特定のターゲットへ高い親和性をもつコア骨格を保持した化合物を同定する方法を紹介する。 また、それらが特許範囲に含まれるか、またどうやって合成するかについての検討方法についても紹介する。 2 years ago | 39 mins Chemistry Data for Systems Thinkers Paul Dockerty Systems thinking has become an essential part of modern medicinal chemistry and new drug development (1). Dealing with the increasing data volumes, in... 2 years ago | 57 mins Clinical and biochemical data-driven drug re-purposing for anti-infective drugs Andrey Khudoshin Drug repurposing has been shown to be advantageous for treating rare and common diseases. A data-driven drug repurposing approach may not only acceler... 2 years ago | 79 mins Accelerate drug discovery by building and turning data into actionable insights Dr. Min Lu, Dr. Rosalind Sankey The prioritization of hits from large compound lists for further follow-up is a challenging task for medicinal chemists. During this step of drug disc... 2 years ago | 57 mins Text Mining to Identify Emerging Trends in Pancreatic Cancer Literature Dr. Eric GIlbert, Professional Services Text mining is one way to analyze emerging trends in research literature. Here we show how Elsevier’s text mining tool can be used to identify emergin... 2 years ago | 33 mins Using machine learning to identify adverse events from scientific literature Umesh Nandal Information found in the biomedical literature is a significant source for tracking and reporting adverse drug reactions (ADR). The EMA and FDA have b... 2 years ago | 61 mins
