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How do you design a drug if you don't know the target protein structure? Ligand-based drug design is an approach used in the absence of 3D structures of drug targets. This enables early-stage discovery and lead optimisation even when the protein structure is unknown. One option involves pharmacophore modelling, and it can be used in lieu of a protein-structure-based pathway.
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The CCDC is excited to announce the 2020 Struchkov Prize winners. Advancing structural science is a global effort, and the CCDC has been a proud financial supporter of the Struchkov Prize Association (SPA) since 2015.
For this CSD Educators blog, I have the pleasure to introduce to you Prof. Alessia Bacchi, from the University of Parma in Italy. In this blog, Alessia will talk to us about her recent experience teaching "virtually" the use of Mercury and the CSD in high schools, with the goal to help students and teachers with the learning and teaching of three-dimensional concepts, such as the geometry of molecules.
CCDC was honored to sponsor and present at the first joint virtual meeting of the Southern California and Boston Area Groups for Informatics and Modeling (SAGIM and BAGIM) last Thursday, April 15th. Over 150 participants attended to discuss the value of information extracted from structural databases and the important metrics for database curation.
Can crystal structure prediction (CSP) be used to computationally design multi-component materials? This is the question that target compound XXX poses to participants in this current CSP Blind Test.
Here we highlight a paper by authors at Universidad de los Andes, Universidad Industrial de Santander and Universidad Santo Tomás using the Cambridge Structural Database (CSD) and the Hydrogen Bond Propensity (HBP) tool to characterize two polymorphs of an anti-inflammatory drug and predict the existence of additional forms. This is part of our series highlighting examples of the Cambridge Crystallographic Data Centre (CCDC) tools in action by scientists around the world.
The following blog summarizes my presentation on Crystal Structure Prediction (CSP).
