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Combining MIAX-Based In-Silico-Peptide-Chips with Membrane-Support Peptide-Array-Chips Oriented to Novel Drug Discovery

机译:将基于MIAX的硅肽 - 芯片与膜 - 载体阵列 - 芯片组合在一起,以创位为新的药物发现

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Protein-protein interactions and polypeptide interaction in general play a central role in molecular recognition processes relevant to several cellular functions and triggering a diversity of biochemical processes, all of them at the realm of the natural, life sustaining endeavor. Moreover, unveiling disease generating mechanisms at the molecular level as well as the search for new chemical compounds to mimic, inhibit, or enhance determined molecular functions make knowledge of the principles governing polypeptide interaction crucial. While data from large scale genome analysis projects are accumulating at high rates, tools for their rational analysis leading to reveal the principles governing polypeptide interactions have just started to be explored. Nevertheless, because of the intricacy of the problem which involves the yet completely solved problem of polypeptide 3D structure prediction and protein folding as well as consideration of the environment and conditions under which the interactions occur, approaching the problem requires both theoretical and experimental tools to deal with its intrinsic combinatorial chemical nature.
机译:蛋白质 - 蛋白质相互作用和多肽相互作用一般在与几种细胞功能相关的分子识别过程中发挥着核心作用,并引发生化过程的多样性,所有这些都在自然,寿命持续努力的领域。此外,揭开分子水平的疾病产生机制以及寻找新的化合物以模仿,抑制或增强确定的分子功能,了解治疗多肽相互作用至关重要的原理。虽然来自大规模基因组分析项目的数据以高利率累积,但其合理分析的工具导致揭示了治疗多肽互动的原理刚刚开始探索。尽管如此,由于问题的复杂性涉及多肽3D结构预测和蛋白质折叠的尚未解决的问题以及对其发生的环境和条件的考虑,接近问题需要处理的理论和实验工具其内在的组合化学性质。

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