Event: QuantumBio to present at Drug Discovery Chemistry conference

Title: Quantum mechanics-based macromolecular x-ray refinement: The impact of advanced refinement methods on our understanding of protein:ligand structure and function

Presenter: Lance M. Westerhoff, Ph.D.

Conference: Drug Discovery Chemistry

Location: Hilton Resort & Spa, San Diego, CA.

Download: here


Successful structure based drug discovery is dependent upon accurate protein:ligand structure determination and characterization. Further, with fragment based drug design, determining or “rescuing” key interactions, while filtering out less important interactions, is extremely important. In conventional x-ray refinement, the geometry of the ligand or fragment within the active site is modeled according to the practitioner’s beliefs as expressed in the form of stereochemical restraints provided by the ligand library or CIFile. These restraints are coupled along with a highly simplified functional which lacks even the most rudimentary interactions captured in modern functionals. Therefore, metal centers, covalently bound species, fragments, and other exotic cases can be particularly difficult to refine correctly without significant human intervention. Traditionally, these deficiencies often lead to “post-refinement processing,” such as force field-based structure optimization and docking, with no guarantee that resulting models will continue to fit the experimental density. Our work has addressed this problem through the integration of the DivCon6 linear-scaling, semiempirical, quantum mechanics (SE-QM) engine with the popular Phenix crystallography platform[1-3]. When this “plug-in” is installed, QM-based refinement is performed in “real time” during each refinement step. SE-QM – with its inclusion of electrostatics, charge transfer, polarization, dispersion, hydrogen bonds, and so on – is a much more rigorous alternative to conventional stereochemical restraints. At the same time, since the SE-QM method can be applied not only to the ligand or fragment(s) but to the protein, the method captures the influence of the surrounding structure on the ligand (and vise versa). Upon completion of each refinement, standard crystallographic metrics along with strain, binding affinity prediction, and key interaction characteristics are reported. In addition to the method and its application, PM6 refinement results will be presented for several examples including structures with metal coordination spheres, covalent bonds, and other key protein:ligand chemistry situations.

  1. Examples and additional information: https://www.quantumbioinc.com/products/phenix_divcon
  2. Borbulevych, O.Y., J.A. Plumley, R.I. Martin, K.M. Merz Jr, and L.M. Westerhoff, Accurate, macromolecular crystallographic refinement: Incorporation of the linear scaling, semiempirical quantum mechanics program DivCon into the Phenix refinement package. Acta Crystallogr D Biol Crystallogr, 2014. In Press.
  3. Borbulevych, O.Y., N.W. Moriarty, P.D. Adams, and L.M. Westerhoff, Quantum Mechanics-based Refinement in Phenix/DivCon. Computational Crystallography Newsletter, 2014. 5: p. 26-30. http://www.phenix-online.org/newsletter/