Mnova BioHOS

Analysis for the determination of a biologic drug’s higher order structure

Mnova BioHOS is designed for the NMR analysis of biotherapeutics, like monoclonal antibodies. 2D NMR spectra of reference samples are compared with that of each test sample using a fingerprinting, or spectral similarity determination.

Licenses of Mnova NMR and Chemometrics are required to use Mnova BioHOS

What’s new in Mnova BioHOS 2.0?

The latest version 2.0 was released with Mnova 14.2 and these are the main highlights:

  • 1D PROFILE analysis

This uses 1D NMR spectra. Small spectral changes are detected and a statistical analysis performed on evaluations

  • PCA models and distance calculation

Sample spectra can be used to generate a “PCA model”, and tools are made available for validation. New samples can be tested against the model, and Mahalanobis distances (Dm) calculated

  • Matrix evaluations of all spectra

All samples are automatically compared with each other and a table of results with colour coding makes it easy to compare inter- and intra class samples

1D PROFILE  analysis

PCA  analysis

Mnova BioHOS: 45-day free trial version

product_icon_download 1. Download

Download Mnova for a suitable Operating System

product_icon_install 2. Installation

Open Mnova and go to ‘Help/Get-Install Licenses’. Select ‘Evaluate’.

product_icon_license 3. License

Fill in the form to receive your trial license via e-mail.

Mnova BioHOS

Highlights

Mnova BioHOS – NIST mAb data

Reference: Robert G. Brinson at al. (2019) Enabling adoption of 2D-NMR for the higher order structure assessment of monoclonal antibody therapeutics, mAbs, 11:1, 94-105
DOI: 10.1080/19420862.2018.1544454

Data relating to the NISTaMb Interlaboratory study and useful reference material can be found here

  • Includes several published and accepted methods to conduct analysis:

    – Principal Component Analysis, PCA – unsupervised chemometrics

    – Easy Comparability of Higher Order Structure, ECHOS – simple representation of spectral differences

    – Combined Chemical Shift Difference, CCSD – number that represents the shifts in peak positions

    1D Profile uses 1D NMR spectra to detect small spectral changes and carry out a statistical analysis on evaluations

  • Quality Assessment of Biologic drugs using 2D NMR spectral data
  • Capitalise on a powerful, intuitive user interface
  • Excellent, fundamental capabilities and algorithms
  • Interactivity between the analysis results and spectral data
  • Similarity assessment between a drug and its reference material, allowing rapid pass / fail evaluations

Mnova BioHOS

Features

  • Pairwise intensity comparisons of points with the same coordinates in the reference – and test spectra

 

  • A regression line is computed for the scatter plot of points. Manual and automatic noise cancellation

 

  • Adjust threshold for residuals
  • Selected peaks in the reference spectrum are matched with peaks in the test data and the Combined Chemical Shift Difference (average and per peak pair) is calculated

 

  • Average CCSD for each test spectrum, to rank them by similarity with the reference

 

  • Plot CCSD values and amplitude ratio per pair of peaks and inspect relevant spectral regions with just one click
  • Dedicated features for data management including: adjusting preparation parameters, binning to reduce data size, conducting integrity checks, filtering, normalizing and scaling

 

  • PCA results available in interactive plots always connected to the spectra

 

  • Explained Variance, Influence, Scores and PCA loadings plot templates available

This uses 1D NMR spectra. Small spectral changes are detected and a statistical analysis performed on evaluations.

 

  • Typically uses 1D 1H spectra

 

  • Small differences are quantified

 

  • Statistically treat spectra for many spectra

Academic, Government & Industrial

Markets

MARKETS

  • NMR Quality Assessment of biologic drugs
  • Similarity assessment of generic biologic drugs
  • Suitable for Pharmaceutical companies, CROs and academic organizations