Click here to request a quote for virtual peptide library screening

Mining of Structural and Character content of data in PDF files

Modify the complementarity determining regions of an existing non-human antibody

Screening by neural networks and machine-learning for between 50k to 8 million compounds - customer provides Actives/Inactives

Click here to request a quote for crystallizing and solving the structure of an apoprotein

Click here to request a quote to design a focused library for lead optimization

Click here to request a quote for a semi-flexible protein-peptide or protein-protein docking prediction

Find new active synthesizable ligands for target proteins by combinatorial fragment searching

Click here to request a quote to predict the 3D structure of an antibody and its antigen binding mode from its sequence

Click here to request a quote to co-crystallize and identify fragment-like molecules that bind to a target protein

Click here to request a quote for a structure-based design and optimization process that can help you improve your compound's efficacy and safety

Large database docking & scoring of protein-ligand interactions to identify actives for a protein target

Click here to request a quote for virtual screening using the pharmacophore model/s

Click here to request a quote for computational support for focused selections, analogue searches, de-novo design.

Click here to request a quote for a docking screen on a 3D protein target structure

Click here to request a quote for modeling fragment-like molecules likely to bind to target

Ranking of compounds by synthetic ease based on structure and reaction difficulty

Screening by neural networks and machine-learning for 50k to 8 million compounds - no Actives/Inactives from customer

Predict the 3D structure of an antibody from its sequence

Click here to request a quote to create custom 3D pharmacophore model(s) to be applied in virtual screening for either hit finding or lead optimization