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2021

NovAliX adopts Mestrelab’s Mnova software

Santiago de Compostela, Aug 2, 2021. The adoption of Mnova software comes on the heels of a major expansion of chemistry at NovAliX with the acquisition […]
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QC Profiling Webinar-Novartis

Webinar on Mnova QC Profiling (batch mode)

In this webinar you will get some insights on how Mgears and the QC profiling plugin can facilitate the interpretation of up to thousands of LC-MS per week and the subsequent loading of the retrieved information into databases.

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2020

Mnova MyGears – App Note

MyGears in action – Automated qNMR, Structure Verification and Spectrum Suitability Testing with ONE Click.

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Mnova DB MyData – Application Note

Turning your spectroscopic data into a searchable resource.
Using MyData to efficiently retrieve what you are looking for in a few mouse clicks

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Mnova DB MyData – Workshop

Store, share and search your chemical and analytical data

This is the recorded session of the workshop Mestrelab given by Mestrelab CEO, Santi Dominguez in April 2020.

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IntroWebinar - Introducing Mnova StereoFitter, an integrated workflow for conformational and configurational analysis of small molecules in solution

Webinar – Solve 3D structural challenges with Mnova StereoFitter

This webinar will demonstrate a new capability for chemists to elucidate 3D structure of their molecules for themselves, using a comprehensive set of tools integrated together as a plugin for Mnova NMR.  Using readily available NMR constraints it will be shown how simple it is to extract a best-fit from a set of conformers or stereoisomers in a very short amount of time.

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Mestrelab peer reviewed papers

A KNIME Workflow for Automated Structure Verification

Adequate characterization of chemical entities made for biological screening in the drug discovery context is critical. Incorrectly characterized structures lead to mistakes in the interpretation of structure–activity relationships and confuse an already multidimensional optimization problem.

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Mestrelab peer reviewed papers

NMR signal processing, prediction and structure verification with Machine Learning techniques

Machine learning (ML) methods have been present in the field of NMR since decades, but it has experienced a tremendous growth in the last few years, especially thanks to the emergence of deep learning (DL) techniques taking advantage of the increased amounts of data and available computer power.

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2019

Webinar - The whole nine yards of Biologics QA using NMR (1)

Mnova BioHOS Webinar – The whole nine yards of Biologics QA using NMR

We had a very exciting webinar about a hot topic in the NMR field, Higher Order Structure (HOS) analysis of biotherapeutic proteins. Dr. Donna Baldisseri (Bruker) described recently developed and optimized acquisition techniques. Dr. Mike Bernstein (Mestrelab) showed how data can be easily processed and analysed with the recently launched Mnova BioHOS plugin

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