首页> 外国专利> DESIGNED ANTICANCER CHEMICAL HYPERPHARMACOPHORE MOLECULES WITH QUANTUM-MOLECULAR BINDING AFFINITY TO SIGNAL TRANSDUCTION TARGETS AND MOTIF REGIONS THEREOF RELATING TO GLIOMA IN HUMANS

DESIGNED ANTICANCER CHEMICAL HYPERPHARMACOPHORE MOLECULES WITH QUANTUM-MOLECULAR BINDING AFFINITY TO SIGNAL TRANSDUCTION TARGETS AND MOTIF REGIONS THEREOF RELATING TO GLIOMA IN HUMANS

机译:设计的抗癌药化学超分子,具有与人胶质瘤相关的信号转移靶标和分子区域,具有量子-分子结合能力

摘要

71 20190100013 Aim of the invention is the determination of a drug target, the determination of a target structure, the determination of the target site/binding site, and the selection of the drug design method for proposed lead components (drug lead evaluation) and of an optimized drug lead against signal transduction peptide and protein target molecules and motif regions thereof by modelling, molecular recognition and molecular dynamics techniques for the treatment of glioma in human. The present invention claims a new optional-evaluation function with factorial combination of terms from two or more different evaluation functions, as a new computational tool for compacting active pharmacophores in order to generate a hyperpharmacophore with optimized quantum docking properties for the computational design of new chemical drug structures of high total binding energy on the active sites of the mutation motif peptides responsible for glioma in humans. It should be mentioned that the present invention claims more complex non-linear techniques for the computation of the free binding energy from the evaluation vector, which better depict the real binding energy even when any of these attempts to capture a total of the binding at the maximum possible of the binding information present in the binding affinity evaluation-prediction vector of the ligand GLYBATOMAOTM. Aim of the invention is to claim the Components and Quantum-mechanical Standardisation methods via a motif chemogenomic computer-assisted quantum-molecular approximation (CAMSPCPL) for the chemoinformative design of a polypharmacophore MEFLWAPLLGLCCSLAAA peptidomimetic molecule targeting against the signal-transduction peptide molecules and motif regions thereof for the of the peptide molecule derived signal transduction against the motif regions thereof, in order to eventually suppress the overexpression of the mutant form of the genes and proteins thereof EGFR, EGFRvlll, MGMT, MSH6, PI3K, Src-STAT, p16INK4A, VEGF, Akt, mTOR, HER2 mRNA and MET in the same tumors for the treatment of glioma in humans.
机译:71 20190100013本发明的目的是确定药物靶标,确定靶标结构,确定靶标位点/结合位点,选择用于拟议的铅组分的药物设计方法(药物铅评价)和通过建模,分子识别和分子动力学技术治疗人神经胶质瘤的抗信号转导肽和蛋白质靶分子及其基序区域的优化药物。本发明要求保护具有来自两个或多个不同评估函数的项的因子组合的新的可选评估函数,作为用于压缩活性药效团以生成具有优化的量子对接性质的超药效团的新计算工具,用于新化学物质的计算设计在负责人神经胶质瘤的突变基序肽的活性位点上具有高总结合能的药物结构。应当提及的是,本发明要求更复杂的用于从评估向量计算自由结合能的非线性技术,即使当这些尝试中的任何一个试图捕获结合处的结合时,该技术也能更好地描绘真实结合能。配体GLYBATOMAOTM的结合亲和力评估预测载体中存在的结合信息的最大可能值。本发明的目的是要求保护的是通过基序化学基因组计算机辅助量子分子近似(CAMSPCPL)进行成分和量子力学标准化的方法,用于针对信号转导肽分子和基序区域的多药效团MEFLWAPLLGLCCSLAAA拟肽分子的化学信息设计。为了最终抑制其基因和蛋白质的突变体形式的过表达,EGFR,EGFRvIII,MGMT,MSH6,PI3K,Src-STAT,p16INK4A,VEGF ,Akt,mTOR,HER2 mRNA和MET在同一肿瘤中用于治疗人类神经胶质瘤。

著录项

  • 公开/公告号GR2003171Y

    专利类型

  • 公开/公告日2020-06-09

    原文格式PDF

  • 申请/专利权人 GRIGORIADIS GIANNIS GEORGIOU;

    申请/专利号GR20200200082U

  • 发明设计人 GRIGORIADIS IOANNIS GEORGIOU;

    申请日2019-01-10

  • 分类号G16C20/50;G16C20/10;

  • 国家 GR

  • 入库时间 2022-08-21 11:17:31

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