首页> 外文会议>2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences >Poster: HORIBALFRE: Higher Order Residue Interactions Based ALgorithm for Fold REcognition
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Poster: HORIBALFRE: Higher Order Residue Interactions Based ALgorithm for Fold REcognition

机译:海报:HORIBALFRE:基于高阶残基相互作用的折叠识别算法

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In an attempt to enhance the potential based fold - recognition methods of remote homologs, we propose a new approach “Higher Order Residue Interaction Based ALgorithm for Fold REcognition (HORIBALFRE)”, where we incorporated the potential contributions not just from one-body and two-body terms, but from three body (triplet interactions) and four-body (quadruple interaction) interactions, to implement a new fold recognition method. Core of HORIBALFRE includes the potentials generated from a structure library derived from CAMPASS database of structure based sequence alignment. Currently, the algorithm is applied to the Fischer''s dataset. Our preliminary result indicates that inclusion of higher order residue interaction (quadruple) potentials increases the prediction performance.
机译:为了增强远程同源物的基于位势的折叠识别方法,我们提出了一种新方法“基于高阶残基相互作用的折叠识别算法(HORIBALFRE)”,其中我们不仅考虑了单身和两个身材,还考虑了潜在的贡献。 -身体术语,但从三个身体(三重体相互作用)和四个身体(四重相互作用)相互作用,来实现一种新的折叠识别方法。 HORIBALFRE的核心包括从结构库产生的电位,该结构库源自基于结构的序列比对的CAMPASS数据库。目前,该算法已应用于Fischer的数据集。我们的初步结果表明,包含更高阶的残基相互作用(四倍)势能提高预测性能。

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