2007Unpublished venueRequires access

Using Domain-Based Structural Ensemble to Improve Structure Modeling

Fa Zhang, Zhaoyun Ma, Zhiyong Liu, Bo Yuan

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Abstract

In this paper, we presented a method to improve structural modeling based on conserved domain clusters and structure-anchored alignment. First we mapped all the InterPro domains in the entire PDB, partitioned and clustered homologous domains into the domain-based template library. This aimed at expanding structural coverage to more protein sequences. For each cluster, we generated a multiple structural alignment based only on the 3 D information. Then we extracted a core-structure and built a position-specific profile from the structure and sequence information for each of cluster. Based on the multiple structural alignments, core-structures and the profiles, we developed a structure-anchored alignment method to increase the alignment accuracy between a query and its templates. Preliminary results show that our template library and the structure-anchored alignment method can be used for the prediction for a majority of known protein sequences with better qualities.

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What this paper is about

In this paper, we presented a method to improve structural modeling based on conserved domain clusters and structure-anchored alignment. First we mapped all the InterPro domains in the entire PDB, partitioned and clustered homologous domains into the domain-based template library. This aimed at expanding structural coverage to more protein sequences. For each cluster, we generated a multiple structural alignment based only on the 3 D information. Then we extracted a core-structure and built a position-specific profile from the structure and sequence information for each of cluster. Based on the multiple structural alignments, core-structures and the profiles, we developed a structure-anchored alignment method to increase the alignment accuracy between a query and its templates. Preliminary results show that our template library and the structure-anchored alignment method can be used for the prediction for a majority of known protein sequences with better qualities.

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Available abstract

In this paper, we presented a method to improve structural modeling based on conserved domain clusters and structure-anchored alignment. First we mapped all the InterPro domains in the entire PDB, partitioned and clustered homologous domains into the domain-based template library. This aimed at expanding structural coverage to more protein sequences. For each cluster, we generated a multiple structural alignment based only on the 3 D information. Then we extracted a core-structure and built a position-specific profile from the structure and sequence information for each of cluster. Based on the multiple structural alignments, core-structures and the profiles, we developed a structure-anchored alignment method to increase the alignment accuracy between a query and its templates. Preliminary results show that our template library and the structure-anchored alignment method can be used for the prediction for a majority of known protein sequences with better qualities.

Key concepts: Structural alignment, Template, Computer science, Sequence alignment, Protein Data Bank (RCSB PDB), Domain (mathematical analysis), Multiple sequence alignment, Protein structure

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