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SPECIFICITY QUANTIFICATION OF BIOMOLECULAR RECOGNITION AND ITS APPLICATION FOR DRUG DISCOVERY
SPECIFICITY QUANTIFICATION OF BIOMOLECULAR RECOGNITION AND ITS APPLICATION FOR DRUG DISCOVERY
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机译:生物分子识别的特异性定量及其在药物发现中的应用
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摘要
A novel scoring function called SPA takes account of both specificity and affinity of highly efficient and specific protein-ligand binding. The method to develop SPA is based on the funneled energy landscape theory and employs affinity and specificity of biomolecular interactions. The quantified specificity of the native protein-ligand complex, which discriminates against “non-native” binding modes, and the affinity prediction are simultaneously optimized during the development. SPA is obtained by maximizing the specificity and affinity prediction of a large training set of “native” protein-ligand complexes with known structures and affinities. SPA can be employed to discriminate drugs from the diversity set, or to discriminate selective drugs from non-selective drugs. The remarkable performance of SPA makes it promising to be implemented in the docking software and widely applied in virtual screening for seeking the lead compounds.
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