Literature DB >> 7966282

Position-based sequence weights.

S Henikoff1, J G Henikoff.   

Abstract

Sequence weighting methods have been used to reduce redundancy and emphasize diversity in multiple sequence alignment and searching applications. Each of these methods is based on a notion of distance between a sequence and an ancestral or generalized sequence. We describe a different approach, which bases weights on the diversity observed at each position in the alignment, rather than on a sequence distance measure. These position-based weights make minimal assumptions, are simple to compute, and perform well in comprehensive evaluations.

Mesh:

Year:  1994        PMID: 7966282     DOI: 10.1016/0022-2836(94)90032-9

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  138 in total

1.  The identification of conserved interactions within the SH3 domain by alignment of sequences and structures.

Authors:  S M Larson; A R Davidson
Journal:  Protein Sci       Date:  2000-11       Impact factor: 6.725

2.  Comparison of sequence profiles. Strategies for structural predictions using sequence information.

Authors:  L Rychlewski; L Jaroszewski; W Li; A Godzik
Journal:  Protein Sci       Date:  2000-02       Impact factor: 6.725

3.  Evolutionary relationship between K(+) channels and symporters.

Authors:  S R Durell; Y Hao; T Nakamura; E P Bakker; H R Guy
Journal:  Biophys J       Date:  1999-08       Impact factor: 4.033

4.  Prediction of amino acid sequence from structure.

Authors:  K Raha; A M Wollacott; M J Italia; J R Desjarlais
Journal:  Protein Sci       Date:  2000-06       Impact factor: 6.725

Review 5.  Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements.

Authors:  A A Schäffer; L Aravind; T L Madden; S Shavirin; J L Spouge; Y I Wolf; E V Koonin; S F Altschul
Journal:  Nucleic Acids Res       Date:  2001-07-15       Impact factor: 16.971

6.  Predicting sequences and structures of MHC-binding peptides: a computational combinatorial approach.

Authors:  J Zen; H R Treutlein; G B Rudy
Journal:  J Comput Aided Mol Des       Date:  2001-06       Impact factor: 3.686

7.  Predicting deleterious amino acid substitutions.

Authors:  P C Ng; S Henikoff
Journal:  Genome Res       Date:  2001-05       Impact factor: 9.043

8.  PSI-BLAST searches using hidden markov models of structural repeats: prediction of an unusual sliding DNA clamp and of beta-propellers in UV-damaged DNA-binding protein.

Authors:  A F Neuwald; A Poleksic
Journal:  Nucleic Acids Res       Date:  2000-09-15       Impact factor: 16.971

9.  Prediction of MHC binding peptide using Gibbs motif sampler, weight matrix and artificial neural network.

Authors:  Satarudra Prakash Singh; Bhartendu Nath Mishra
Journal:  Bioinformation       Date:  2008-12-06

10.  Molecular analysis of three Ljungan virus isolates reveals a new, close-to-root lineage of the Picornaviridae with a cluster of two unrelated 2A proteins.

Authors:  Susanne Johansson; Bo Niklasson; Jacob Maizel; Alexander E Gorbalenya; A Michael Lindberg
Journal:  J Virol       Date:  2002-09       Impact factor: 5.103

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.