Literature DB >> 18601985

BCL::Align-sequence alignment and fold recognition with a custom scoring function online.

Elizabeth Dong1, Jarrod Smith, Sten Heinze, Nathan Alexander, Jens Meiler.   

Abstract

BCL::Align is a multiple sequence alignment tool that utilizes the dynamic programming method in combination with a customizable scoring function for sequence alignment and fold recognition. The scoring function is a weighted sum of the traditional PAM and BLOSUM scoring matrices, position-specific scoring matrices output by PSI-BLAST, secondary structure predicted by a variety of methods, chemical properties, and gap penalties. By adjusting the weights, the method can be tailored for fold recognition or sequence alignment tasks at different levels of sequence identity. A Monte Carlo algorithm was used to determine optimized weight sets for sequence alignment and fold recognition that most accurately reproduced the SABmark reference alignment test set. In an evaluation of sequence alignment performance, BCL::Align ranked best in alignment accuracy (Cline score of 22.90 for sequences in the Twilight Zone) when compared with Align-m, ClustalW, T-Coffee, and MUSCLE. ROC curve analysis indicates BCL::Align's ability to correctly recognize protein folds with over 80% accuracy. The flexibility of the program allows it to be optimized for specific classes of proteins (e.g. membrane proteins) or fold families (e.g. TIM-barrel proteins). BCL::Align is free for academic use and available online at http://www.meilerlab.org/.

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Year:  2008        PMID: 18601985      PMCID: PMC2658673          DOI: 10.1016/j.gene.2008.06.006

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  39 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

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.  Large-scale comparison of protein sequence alignment algorithms with structure alignments.

Authors:  J M Sauder; J W Arthur; R L Dunbrack
Journal:  Proteins       Date:  2000-07-01

4.  Predicting reliable regions in protein sequence alignments.

Authors:  Melissa Cline; Richard Hughey; Kevin Karplus
Journal:  Bioinformatics       Date:  2002-02       Impact factor: 6.937

5.  Pcons: a neural-network-based consensus predictor that improves fold recognition.

Authors:  J Lundström; L Rychlewski; J Bujnicki; A Elofsson
Journal:  Protein Sci       Date:  2001-11       Impact factor: 6.725

6.  T-Coffee: A novel method for fast and accurate multiple sequence alignment.

Authors:  C Notredame; D G Higgins; J Heringa
Journal:  J Mol Biol       Date:  2000-09-08       Impact factor: 5.469

Review 7.  Multiple sequence alignment in phylogenetic analysis.

Authors:  A Phillips; D Janies; W Wheeler
Journal:  Mol Phylogenet Evol       Date:  2000-09       Impact factor: 4.286

8.  3D-Jury: a simple approach to improve protein structure predictions.

Authors:  Krzysztof Ginalski; Arne Elofsson; Daniel Fischer; Leszek Rychlewski
Journal:  Bioinformatics       Date:  2003-05-22       Impact factor: 6.937

9.  ORFeus: Detection of distant homology using sequence profiles and predicted secondary structure.

Authors:  Krzysztof Ginalski; Jakub Pas; Lucjan S Wyrwicz; Marcin von Grotthuss; Janusz M Bujnicki; Leszek Rychlewski
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

10.  Analysis and comparison of benchmarks for multiple sequence alignment.

Authors:  Gordon Blackshields; Iain M Wallace; Mark Larkin; Desmond G Higgins
Journal:  In Silico Biol       Date:  2006
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  11 in total

1.  CONTSOR--a new knowledge-based fold recognition potential, based on side chain orientation and contacts between residue terminal groups.

Authors:  Boris Vishnepolsky; Malak Pirtskhalava
Journal:  Protein Sci       Date:  2011-11-23       Impact factor: 6.725

2.  Unique gating properties of C. elegans ClC anion channel splice variants are determined by altered CBS domain conformation and the R-helix linker.

Authors:  Sonya Dave; Jonathan H Sheehan; Jens Meiler; Kevin Strange
Journal:  Channels (Austin)       Date:  2010-07-21       Impact factor: 2.581

3.  Improved prediction of trans-membrane spans in proteins using an Artificial Neural Network.

Authors:  Julia Koehler; Ralf Mueller; Jens Meiler
Journal:  IEEE Symp Comput Intell Bioinforma Comput Biol Proc       Date:  2009-05-15

4.  Computational modeling of laminin N-terminal domains using sparse distance constraints from disulfide bonds and chemical cross-linking.

Authors:  Stefan Kalkhof; Sebastian Haehn; Mats Paulsson; Neil Smyth; Jens Meiler; Andrea Sinz
Journal:  Proteins       Date:  2010-10-11

5.  The Kir channel immunoglobulin domain is essential for Kir1.1 (ROMK) thermodynamic stability, trafficking and gating.

Authors:  Katherine Fallen; Sreedatta Banerjee; Jonathan Sheehan; Daniel Addison; L Michelle Lewis; Jens Meiler; Jerod S Denton
Journal:  Channels (Austin)       Date:  2009-01-06       Impact factor: 2.581

6.  Simultaneous prediction of binding free energy and specificity for PDZ domain-peptide interactions.

Authors:  Joseph J Crivelli; Gordon Lemmon; Kristian W Kaufmann; Jens Meiler
Journal:  J Comput Aided Mol Des       Date:  2013-12-05       Impact factor: 3.686

7.  HORIBALFRE program: Higher Order Residue Interactions Based ALgorithm for Fold REcognition.

Authors:  Pandurangan Sundaramurthy; Raashi Sreenivasan; Khader Shameer; Sunita Gakkhar; Ramanathan Sowdhamini
Journal:  Bioinformation       Date:  2011-12-10

8.  3PFDB--a database of best representative PSSM profiles (BRPs) of protein families generated using a novel data mining approach.

Authors:  Khader Shameer; Paramasivam Nagarajan; Kumar Gaurav; Ramanathan Sowdhamini
Journal:  BioData Min       Date:  2009-12-04       Impact factor: 2.522

9.  Virtual interactomics of proteins from biochemical standpoint.

Authors:  Jaroslav Kubrycht; Karel Sigler; Pavel Souček
Journal:  Mol Biol Int       Date:  2012-08-08

10.  Alignment of helical membrane protein sequences using AlignMe.

Authors:  Marcus Stamm; René Staritzbichler; Kamil Khafizov; Lucy R Forrest
Journal:  PLoS One       Date:  2013-03-04       Impact factor: 3.240

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