Two years later: a look back on our new recognition system

In 2020, Discngine faced a new challenge. It had grown to a size where doing the "classical" annual salary reviews was not possible anymore. We decided to set up a new system, more scalable and more reflective of our company culture.
It's been two years now since Discngine implemented the new recognition system, and it's time for us to look back on it.

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Visualize your chemical space by connecting KNIME and TIBCO Spotfire®: Introduction to the SWAK

Introducing the Spotfire Web Application for KNIME (a.k.a. SWAK), a Discngine-built connector between two widely used tools in data analysis: KNIME and TIBCO Spotfire®.

Méliné is showing how simple it is to visualize a dataset’s chemical space by building a KNIME workflow projecting the dataset onto the chemical space, before visualizing it efficiently with TIBCO Spotfire® through the SWAK!

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Shifting to the Cloud: the story of a French biotech startup

Cloud environment can bring a lot of benefits, to research-driven organizations, but shifting from an on-premises (local) to a Cloud environment can be challenging and sometimes scary. This article will outline an example of a French Biotech Startup that migrated its scientific software applications toolset to the Cloud and reveal the real-life advantages of this migration that exceeded expectations.

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Five major obstacles to Cloud shift for life science R&D - and how to overcome them...

Over the last two years, we observed a significant mindset change in life science research organizations towards the cloud technologies landscape. Less fear and skepticism, a better understanding of the capabilities, and rising expectations. Nevertheless, some obstacles specific to our business remain.
In this article, we explore five of the most common obstacles to Cloud shift for life science R&D and how to overcome them.

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Structure-based lead optimization of a PROTAC small-molecule in the BRD4-CRBN complex

The purpose of this article is to illustrate how to apply some of 3decision’s features in scientific research. For this use case, the 3decision Subpocket Similarity Search is used to suggest modifications for the optimization of a small- molecule PROTAC. The Protein-Ligand interaction coloring by statistics is then used to evaluate docking poses of new compounds. The bromodomain-containing protein 4 – cereblon complex (BRD4-CBRN) and its degrader dBET23 are used as an example.

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An innovative way of organizing data: How can 3decision® improve decision-making process? [Customer Success Story]

Manuel Cases Thomas, a Medicinal chemistry consultant and director at Senechaem was looking for a solution to help him use the full potential of data at hand and generate new design ideas. In this interview, he shares how 3decision® makes a difference in his daily work: from a scientific need to the impact on design ideas and successful project outcomes.

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We are ranked in the TOP 500 fastest-growing companies in France (again)! What does it say about our organizational model?

For the third time, Discngine is ranked among the TOP500 fastest-growing companies in France!
We would like to thank all of our customers for their trust which made this accomplishment possible.

We are very happy about this result which for us confirms the relevance of our products and services but also validates our organizational model…

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What are the challenges for medicinal chemists when working with 3D structures? - Interview

The continuous increase in the available 3D structural data brings along changes in the medicinal chemistry field. Dr. George Sheppard, Senior Principal Research Scientist at AbbVie, shared his thoughts on the benefits for medicinal chemists using 3D information, current challenges and limitations, and proposed potential ways for improvement, in the following interview.

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Getting ready for AlphaFold with 3decision®

Google-owned company DeepMind has achieved to predict 3D protein shapes with high accuracy and speed using the AI program AlphaFold. Although still in the early phase, this method can have a significant impact on drug discovery, accelerating the development of new drugs. In this article, we are discussing the importance of getting ready for the new source of structural data and how to gain the most of structural knowledge.

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