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Bhageerath-H: A homology/ab initio hybrid server for predicting tertiary structures of monomeric soluble proteins

机译:Bhageerath-H:同源/从头算起的混合服务器用于预测单体可溶性蛋白的三级结构

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摘要

BackgroundThe advent of human genome sequencing project has led to a spurt in the number of protein sequences in the databanks. Success of structure based drug discovery severely hinges on the availability of structures. Despite significant progresses in the area of experimental protein structure determination, the sequence-structure gap is continually widening. Data driven homology based computational methods have proved successful in predicting tertiary structures for sequences sharing medium to high sequence similarities. With dwindling similarities of query sequences, advanced homology/ ab initio hybrid approaches are being explored to solve structure prediction problem. Here we describe Bhageerath-H, a homology/ ab initio hybrid software/server for predicting protein tertiary structures with advancing drug design attempts as one of the goals.
机译:背景技术人类基因组测序项目的出现导致数据库中蛋白质序列的数量激增。基于结构的药物发现的成功严重取决于结构的可用性。尽管在实验蛋白质结构测定领域取得了重大进展,但序列结构的差距正在不断扩大。事实证明,基于数据驱动的同源性的计算方法可成功预测三级结构,以共享中等至高序列相似性序列。随着查询序列相似性的降低,人们正在探索先进的同源性/从头开始的混合方法来解决结构预测问题。在这里,我们描述了Bhageerath-H,这是一种同源性/从头开始的混合软件/服务器,用于预测蛋白质三级结构,并将药物设计的尝试作为目标之一。

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