2001Proteins Structure Function and BioinformaticsRequires access

Comparative modeling of CASP4 target proteins: Combining results of sequence search with three-dimensional structure assessment

?eslovas Venclovas

Open publisher page 45 citations

Abstract

Comparative modeling aims at constructing molecular models for proteins of unknown structure, by using known structures of related proteins as templates. To test the comparative modeling approach reported here, predictions for 13 target proteins were submitted during the fourth round of "blind" protein structure prediction experiment (CASP4; http://PredictionCenter.llnl.gov/casp4). Sequence identity between these target proteins and the closest known structures ranged from 13 to 58%, indicating a broad spectrum of prediction difficulty. Although this broad difficulty range required addressing a variety of issues, the most important proved to be sequence-structure alignment for distant homology targets. The alignment step was based on structure-based evaluation of alignment variants produced mainly with PSI-BLAST intermediate sequence search procedure (PSI-BLAST-ISS). Although a fraction of correctly aligned residues in resulting models was markedly better than the average in all cases, for distant homology targets it was still considerably below the estimated achievable level. Results with CASP4 targets show that, along with the correctness of sequence-structure alignments, effective use of multiple template structures may significantly increase accuracy of the model structure. Improvement in this area should also result in more accurate loop modeling and side-chain prediction.

About this research paper

What this paper is about

Comparative modeling aims at constructing molecular models for proteins of unknown structure, by using known structures of related proteins as templates. To test the comparative modeling approach reported here, predictions for 13 target proteins were submitted during the fourth round of "blind" protein structure prediction experiment (CASP4; http://PredictionCenter.llnl.gov/casp4). Sequence identity between these target proteins and the closest known structures ranged from 13 to 58%, indicating a broad spectrum of prediction difficulty. Although this broad difficulty range required addressing a variety of issues, the most important proved to be sequence-structure alignment for distant homology targets. The alignment step was based on structure-based evaluation of alignment variants produced mainly with PSI-BLAST intermediate sequence search procedure (PSI-BLAST-ISS). Although a fraction of correctly aligned residues in resulting models was markedly better than the average in all cases, for distant homology targets it was still considerably below the estimated achievable level. Results with CASP4 targets show that, along with the correctness of sequence-structure alignments, effective use of multiple template structures may significantly increase accuracy of the model structure. Improvement in this area should also result in more accurate loop modeling and side-chain prediction.

Why it matters

OpenAlex reports 45 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Comparative modeling aims at constructing molecular models for proteins of unknown structure, by using known structures of related proteins as templates. To test the comparative modeling approach reported here, predictions for 13 target proteins were submitted during the fourth round of "blind" protein structure prediction experiment (CASP4; http://PredictionCenter.llnl.gov/casp4). Sequence identity between these target proteins and the closest known structures ranged from 13 to 58%, indicating a broad spectrum of prediction difficulty. Although this broad difficulty range required addressing a variety of issues, the most important proved to be sequence-structure alignment for distant homology targets. The alignment step was based on structure-based evaluation of alignment variants produced mainly with PSI-BLAST intermediate sequence search procedure (PSI-BLAST-ISS). Although a fraction of correctly aligned residues in resulting models was markedly better than the average in all cases, for distant homology targets it was still considerably below the estimated achievable level. Results with CASP4 targets show that, along with the correctness of sequence-structure alignments, effective use of multiple template structures may significantly increase accuracy of the model structure. Improvement in this area should also result in more accurate loop modeling and side-chain prediction.

Key concepts: Loop modeling, Homology modeling, Protein structure prediction, Computational biology, Correctness, Sequence (biology), Sequence alignment, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
Comparative modeling of CASP4 target proteins: Combining results of sequence search with three-dimensional structure assessment — Research Paper | ScholarLens