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.
MyGears in action – Automated qNMR, Structure Verification and Spectrum Suitability Testing with ONE Click.
Turning your spectroscopic data into a searchable resource.
Using MyData to efficiently retrieve what you are looking for in a few mouse clicks
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.
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.
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.
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.
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