Predicting and improving the protein sequence alignment quality by support vector regression

被引:0
作者
Minho Lee
Chan-seok Jeong
Dongsup Kim
机构
[1] Korea Advanced Institute of Science and Technology,Department of Bio and Brain Engineering
来源
BMC Bioinformatics | / 8卷
关键词
Support Vector Regression; Mean Absolute Error; Query Protein; Support Vector Regression Model; Fold Recognition;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 156 条
  • [1] Marti-Renom MA(2000)Comparative protein structure modeling of genes and genomes Annu Rev Biophys Biomol Struct 29 291-325
  • [2] Stuart AC(2003)CASP5 assessment of fold recognition target predictions Proteins 53 Suppl 6 395-409
  • [3] Fiser A(1993)Comparative protein modelling by satisfaction of spatial restraints J Mol Biol 234 779-815
  • [4] Sanchez R(2004)The Genomic Threading Database: a comprehensive resource for structural annotations of the genomes from key organisms Nucleic Acids Res 32 D196-9
  • [5] Melo F(1997)Progress in protein structure prediction Curr Opin Struct Biol 7 377-387
  • [6] Sali A(1981)Identification of common molecular subsequences J Mol Biol 147 195-197
  • [7] Kinch LN(1990)Basic local alignment search tool J Mol Biol 215 403-410
  • [8] Wrabl JO(1997)Gapped BLAST and PSI-BLAST: a new generation of protein database search programs Nucleic Acids Res 25 3389-3402
  • [9] Krishna SS(1999)IMPALA: matching a protein sequence against a collection of PSI-BLAST-constructed position-specific score matrices Bioinformatics 15 1000-1011
  • [10] Majumdar I(2004)Using evolutionary information for the query and target improves fold recognition Proteins 54 342-350