Liaison

Efficient and accurate ligand-receptor binding free energy prediction

Below are selected publications from all recent years; please check here to cite the use of Liaison

  •   Bortolato, A.; Moro, S., "In silico binding free energy predictability by using the linear interaction energy (LIE) method: bromobenzimidazole CK2 inhibitors as a case study," J. Chem. Info. Model., 2007, 47, 572-582
  •   Costanzi, S.; Tikhonova, I.G.; Ohno, M.; Roh, E.J.; Joshi, B.V.; Colson, A.O.; Houston, D.; Maddileti, S.; Harden, T.K.; Jacobson, K.A., "P2Y1 antagonists: combining receptor-based modeling and QSAR for a quantitative prediction of the biological activity based on consensus scoring," J. Med. Chem., 2007, 50, 3229-3241
  •   Cochran, S.; Li, C.P.; Bytheway, I., "An Experimental and Molecular-Modeling Study of the Binding of Linked Sulfated Tetracyclitols to FGF-1 and FGF-2," ChemBioChem, 2005, 6, 1882-1890
  •   Singh, P.; Mhaka, A. M.; Christensen, S. B.; Gray, J. J.; Denmeade, S. R.; Isaacs, J. T., "Applying Linear Interaction Energy Method for Rational Design of Noncompetitive Allosteric Inhibitors of the Sarco- and Endoplasmic Reticulum Calcium-ATPase," J. Med. Chem., 2005, 48, 3005-3014
  •   Tounge, B. A.; Reynolds, C. H., "Calculation of the Binding Affinity of β-Secretase Inhibitors Using the Linear Interaction Energy Method," J. Med. Chem., 2003, 46, 2074-2082
  • ö indicates papers (co)authored by Schrödinger scientist(s).
  • Download Software

    Download the Schrödinger Suite now to try out the software.

    GO
  • Explore the Knowledge Base

    Find more information by searching our Knowledge Base.

    GO
  • Get Support

    Contact our Scientific and Technical Support team.

    GO
  • Product List

    View a complete list of all products.

    GO