Article written with David PEYRUC, CEO, and co-founder of DEXSTR. 

DEXSTR: a Scientific Knowledge Management System company

The company DEXSTR was created in 2014 by David PEYRUC and Erwan DAVID, both of whom have a scientific background, particularly in bioinformatics and life sciences. 

Their background in the Pharmaceutical industry is very close to the scientists for whom they set up IT solutions such as electronic laboratory notebooks or “data warehouse” for Research and Development data. 

DEXSTR, is a company that publishes and develops Inquiro software. This software is an “Insight Engine” for life sciences, which allows to leverage on scientific knowledge “Scientific Knowledge Management System”. 

BASSETTI: Management of Technical and Scientific Knowledge through TEEXMA®

The partnership with BASSETTI was a natural choice, because the software published by BASSETTI, TEEXMA® is specialized in the management of technical and scientific knowledge. Inquiro’s approach is based on the analysis of unstructured data (documents, large volumes of data such as file systems, servers or even massive external data sources or BIG DATA). 

The main principle of Inquiro is to know the field of activity of its users as well as the different data sources, internal or external to the company. It will be able to connect to an electronic laboratory notebook, a LIMS, a file server, or a DMS, for example. 

Associated with the Google-style search results offered by Inquiro are data visualization tools, with graphical representations that allow you to navigate through and cross-reference the data. 

We will retrieve the documents that are in these different data sources, we will pass our Artificial Intelligence algorithms, which will allow us to detect all the scientific entities of interest to the client, such as bacterial strains that we can find in an electronic laboratory notebook, or in a file server for example. Obviously, these detections are adapted to our client. –  David Peyruc –

 Inquiro integrated as an add-on module to TEEXMA®

In the 3 ongoing projects, Inquiro is integrated as an add-on module to TEEXMA®, to add new capabilities and functionalities around chemistry and more specifically on the search for chemical entities. This module, offered as a complement to TEEXMA®, allows you to search for molecules by identifying all the names used for each molecule, whether textual or visual. Inquiro and TEEXMA® are closely connected via connectors that allow them to exchange key data essential for information retrieval. The 3 ongoing projects are mainly, but not exclusively, chemistry oriented.

When we talk about Artificial Intelligence, we often talk about Deep Learning, Machine Learning, our approach is different, we rather do analysis of textual data that we call NLP (Natural Language Processing or automated language processing), with a lot of statistical algorithms, which will be able to identify the entities and determine their relevance. – David Peyruc –

The project approach is to be able to identify what is relevant to clients in order to target the effectiveness of the results. Our algorithms, which are already powerful as standard, are configured to adapt to the needs of the users. It is in this sense that scientific know-how brings all its added value.

The collaboration between BASSETTI and DEXSTR is promising, while the new technologies of BIG DATA and Artificial Intelligence are democratizing, the synergies are constantly deepening in order to offer companies more and more innovative solutions that meet the needs of experts.

The two companies are already working on projects to offer other specialized modules such as advanced DNA sequence search.

Access to the official Bassetti communication

Previous publication from DEXSTR on Paperless Lab Academy^®:

How can you contribute to COVID-19 RESEARCH with Inquiro? 

Achieve Merger & Acquisition through Data Integration

How to provide relevant Search Results

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Currently a large amount of scientific publications is generated on a daily basis. Whereas it is important to go faster and faster, it becomes difficult to explore these data in an efficient way. Few initiatives started very early to make available, for free, a large set of publications around the COVID-19. Nevertheless, it still remains difficult for scientists to search for information across these various data sources.

Access the data through a free Portal

In few days, thanks to a mobilized and motivated team, Dexstr put in place on the cloud an Inquiro COVID-19 dedicated portal. This portal is accessible for free for the next few months at the following address: https://covid19.dexstr.io 

Within two weeks more than 600 people connected on the portal, searching into nearly 60 000 documents. You can also use it and talk about it.

Federate the information 

The data available through the portal comes from 4 sources:

• Pubmed – Covid19: All articles from Pubmed related to Covid-19
• Science Direct articles from Elsevier on the novel coronavirus (SARS-CoV-2) and COVID19 provided by Elsevier’s: expert & curated information for the research and health community on SARS-CoV-2 (the novel coronavirus) and COVID-19 (the disease). As of April 10th, 21000+ articles
• COVID19 Open Research Dataset (CORD-19): resources of over 47,000 scholarly articles, including over 36,000 with full text, about COVID-19, and the coronavirus family of viruses for use by the global research community.
• Clinical trials: Information retrieved on ClinicalTrials.gov using the request “covid-19”.

Explore the data

You will find a quick video to present the portal and its use.

Inquiro gives you mainly 4 capabilities:

• Search Engine capabilities: Idea there is to be able to search for a dedicated term or list of terms of interest across the federated data sources avoiding duplicates publications.
• Structural & sub-structural chemical searches: whereas text search is the more frequent usage for a search, chemical searches can also be of interest to chemists. Looking for molecules having similarities or the same chemical scaffold to extend the search allows the scientists to go deeper in the analysis and/or to go faster in their scientific studies.
• Metadata automatic annotation Engine: Metadata are there to characterize and classify the data. An automatic annotation engine will give a bit of context and help the scientist to focus on a set of documents of interest.
• Visualization tools: At different stages of the search process, the scientists need to compare and cross the information. Some visualization tools like heatmap or relation graphs allow to faster identify patterns or correlations between data.

For the research process and particularly in the current COVID-19 pandemic outbreak, this kind of data analysis strategy gives to the scientists the capacities to go right to the point, faster on data up to date.

We believe that a collective effort will permit to find a path to global health. We hope that our contribution, with Inquiro, will be helpful to all the scientists.

DEXSTR is sponsoring and exhibiting at the Paperless Lab Academy^® since 2018. They’ll be running a workshop at the next edition in April 2021.

Stéphane Rouillé, Service Delivery Director at DEXSTR

You can contact DEXSTR team at stephane.rouille@dexstr.io and specifically about the covid-19 platform at inquiro-covid19@dexstr.io.

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