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Identification of sequences common to more than one therapeutic target to treat complex diseases: simulating the high variance in sequence interactivity evolved to modulate robust phenotypes

机译:识别多个用于治疗复杂疾病的治疗靶点共有的序列:模拟进化为调节稳健表型的序列相互作用的高度差异

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摘要

BackgroundGenome-wide association studies show that most human traits and diseases are caused by a combination of environmental and genetic causes, with each one of these having a relatively small effect. In contrast, most therapies based on macromolecules like antibodies, antisense oligonucleotides or peptides focus on a single gene product. On the other hand, complex organisms seem to have a plethora of functional molecules able to bind specifically to multiple genes or genes products based on their sequences but the mechanisms that lead organisms to recruit these multispecific regulators remain unclear.
机译:背景技术全基因组关联研究表明,大多数人类特征和疾病是由环境和遗传原因共同造成的,其中每一种影响相对较小。相反,大多数基于大分子的疗法,例如抗体,反义寡核苷酸或肽,都集中在单一基因产物上。另一方面,复杂的生物似乎具有过多的功能性分子,能够根据其序列与多种基因或基因产物特异性结合,但导致生物体募集这些多特异性调节剂的机制尚不清楚。

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