(hTLR4) modulation virtual high throughput screening by a peta-flops-scale supercomputer has been performed. Based on the in silico studies, a series of 12 compounds related to tryptamine was rationally designed to retain suitable molecular geometry for interaction with the hTLR4 binding site as well as to satisfy general principles of drug-likeness. The proposed compounds were synthesized, and tested
为了识别人类通行费样受体4(hTLR4)调制的新颖的
铅结构,已经进行了由千万亿次规模的超级计算机进行的虚拟高通量筛选。根据计算机研究,合理设计了一系列与
色胺有关的12种化合物,以保留合适的分子几何结构以与hTLR4结合位点相互作用,并满足药物相似性的一般原则。合成了拟议的化合物,并通过体外和离体实验进行了测试,结果表明它们中的几种能够在体外刺激hTLR4,其单
磷酰脂质A的活性最高可达25%。体外最有效的物质的特异性亲和力为经表面等离振子共振直接结合实验证实。而且,