Here we highlight a recent paper in which CSD-CrossMiner was used to find potential target protein(s) for newly synthesized spirobarbituric scaffolds. Such compounds have promising biomedical applications as anticonvulsants, anti-AIDS agents and anti-inflammatory remedies.
This is part of our series highlighting examples of the Cambridge Crystallographic Data Centre (CCDC) tools in action by scientists around the world.
Here we reveal the 2D chemical structure of target compound XXXI, some surprising facts about agrochemicals, and how this Blind Test challenge tests CSP methods.
We are pleased to announce the May 2021 data update of the Cambridge Structural Database (CSD) is now available! This data update brings you 17,004 new organic and metal-organic experimentally determined structures (17,651 new entries) and increases the total size of the CSD to over 1,113,000 structures (1,135,000 entries).
At our upcoming virtual Discovery Science meeting, we’ll hear from speakers on the theme: High-performance data meets high-performance computing. We’re increasingly seeing from the literature and our user community that combining quality data with computing power is changing drug discovery approaches. Here I want to share some examples of this theme.
For this CSD Educators blog, our guest is Christine Zardecki, from the RCSB PDB. This year, the Protein Data Bank (PDB) is celebrating their 50th anniversary and we are delighted to share with you a bit about their journey in education and the building of the PDB-101 educational resources.
In 2019 we started exploring how the CCDC’s experience in data management and standards could best serve the data needs of the Crystal Structure Prediction (CSP) community. Around 18 months on, we wanted to share the outputs so far, how you can get involved, and what you can expect to see from us in the future.
Here we highlight a paper using CSD-Discovery to identify drug models for the treatment of complications due to diabetes and to define molecular features that can guide future drug design. This is part of our series highlighting examples of the Cambridge Crystallographic Data Centre (CCDC) tools in action by scientists around the world.
The existence of various molecular arrangements that occur in the solid-state is called polymorphism. Identifying polymorphs is important for risk management purposes and exploring the polymorphic landscape to identify the most stable forms is an important step during early-stage drug development. As part of our Tools in Action blog series highlighting the use of CCDC tools by scientists around the world, we recently showed how a research team used 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. Here we present more information about how the HBP tool works to see if you can use it to assess polymorphs.
Here we highlight a paper using the CSD Ligand Overlay tool in ligand-based drug design for the development of antibiotics and antifungals. This is part of our series highlighting examples of the Cambridge Crystallographic Data Centre (CCDC) tools in action by scientists around the world.