发明名称 METHODS TO IDENTIFY AMINO ACID RESIDUES INVOLVED IN MACROMOLECULAR BINDING AND USES THEREFOR
摘要 The present disclosure relates to methods and computational tools based, at least in part, on computer simulations that identify hot-spot amino acid residues and binding-region amino acid residues of a protein.
申请公布号 US2015205912(A1) 申请公布日期 2015.07.23
申请号 US201314419229 申请日期 2013.08.02
申请人 Novartis AG 发明人 Agrawal Neeraj J.;Helk Bernhard;Trout Bernhardt L.
分类号 G06F19/16;C07K1/107;C40B30/02 主分类号 G06F19/16
代理机构 代理人
主权项 1. A computer-implemented method for predicting hot-spot amino acid residues of a protein, or portion thereof, wherein the protein, or portion thereof, is represented in a structural model comprising a plurality of amino acid residues, the method comprising: (a) selecting from the plurality of amino acid residues of the model, a cluster of highly hydrophobic amino acid residues, wherein the cluster comprises two or more amino acid residues each having an effective-hydrophobicity greater than a chosen threshold, and wherein each amino acid residue in the cluster is within a first defined distance of at least one other amino acid residue in the cluster; (b) selecting from the plurality of amino acid residues of the model, one or more solvent-exposed polar amino acid residues within a second defined distance of at least one amino acid residue in the cluster of highly hydrophobic amino acid residues; (c) removing from the cluster of highly hydrophobic amino acid residues and from the one or more solvent-exposed polar amino acid residues those amino acid residues that do not meet a criterion for evolutionary conservation, to produce a set of one or more predicted hot-spot amino acid residues; and (d) storing the one or more predicted hot-spot amino acid residues.
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