Most CADD tools handle non-covalent enzyme inhibitors, despite the growing interest of the pharma industry in covalent inhibitors. We have recently introduced an enzyme mechanism-based method, EMBM, as a computational tool for binding trend analysis and prediction of chemical sites (CS) of reversible covalent enzyme inhibitors. In the current study we demonstrate the utility of EMBM to structure-based applications. In this mode, the energy of the enzyme-inhibitor covalent bond is accounted for by the W1 and W2 covalent descriptors we have developed, whereas the non-covalent interactions between the inhibitor CS and the enzyme active site can be estimated directly on the 3D structure of the enzyme-inhibitor complex.
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http://dx.doi.org/10.1002/minf.201300099 | DOI Listing |
Mol Inform
January 2014
The Julius Spokojny Bioorganic Chemistry Laboratory, Department of Chemistry, Bar Ilan University, Ramat Gan 52900, Israel tel.: 972-3-5318862, fax: 972-3-7384053.
Most CADD tools handle non-covalent enzyme inhibitors, despite the growing interest of the pharma industry in covalent inhibitors. We have recently introduced an enzyme mechanism-based method, EMBM, as a computational tool for binding trend analysis and prediction of chemical sites (CS) of reversible covalent enzyme inhibitors. In the current study we demonstrate the utility of EMBM to structure-based applications.
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