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Computational prediction of monosaccharide binding free energies to lectins with linear interaction energy models



Computational prediction of monosaccharide binding free energies to lectins with linear interaction energy models



Journal of Computational Chemistry 33(29): 2340-2350



The linear interaction energy (LIE) method to compute binding free energies is applied to lectin-monosaccharide complexes. Here, we calculate the binding free energies of monosaccharides to the Ralstonia solanacearum lectin (RSL) and the Pseudomonas aeruginosa lectin-II (PA-IIL). The standard LIE model performs very well for RSL, whereas the PA-IIL system, where ligand binding involves two calcium ions, presents a major challenge. To overcome this, we explore a new variant of the LIE model, where ligand-metal ion interactions are scaled separately. This model also predicts the saccharide binding preference of PA-IIL on mutation of the receptor, which may be useful for protein engineering of lectins.

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Accession: 052274973

Download citation: RISBibTeXText

PMID: 22847637

DOI: 10.1002/jcc.23081


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