State of the art automatic analysis tool for ligand screening NMR data. It offers flexibility for the analysis and reporting of results.

The objective of this module is to allow the simple and efficient analysis of Ligand Binding Screening experiments (WaterLOGSY, STD, T1rho, CPMG) –1H, 19F.


Dr. Chen Peng gave an excellent webinar about fragment-based drug discovery data analysis.
Presentation in PDF format is available.

Download here

Related product

Do you also use 2D NMR HSQC to detect binding and calculate Kd’s?

Mnova Screen: 45-day FREE trial

product_icon_download 1. Download

Screen is a plugin integrated in MnovaNo extra installer is required.

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.



  • Pattern recognition algorithms map your experimental data.
  • Considers the use of STD, wLOGSY, T1rho, CMPG experiments.
  • Uses deconvolution to effectively pick peak even weak signals.
  • Result viewer to quickly inspect your hits.
  • Export metrics of your analysis into your favorite statistical package.

Academic, Government & Industrial


  • Structural biology, biophysics and NMR groups in pharmaceutical companies.
  • Target based drug discovery and NMR groups in academic and research institutions.
  • CRO’s and service providers for target based lead detection and lead optimization.

Success Stories

Case Studies

A successful collaboration with Novartis on automated analysis of ligand-observed 1H-19F NMR binding data for fragment based lead generation

Several groups in Novartis use NMR binding assays to find and validate hits during the early stages of drug discovery. They use ligand-observed NMR experiments such as STD, T1ρ, and CPMG to identify library compounds that interact with a target protein. Until a few years ago, the analysis of a high number of complex spectra was performed largely manually and therefore represented a limiting step in hit generation campaigns. Read More