MultiSeq: unifying sequence and structure data for evolutionary analysis
By Elijah Roberts, John Eargle, Dan Wright, Zaida Luthey-Schulten. BMC Bioinformatics, 2006
409 citations recorded by the source corpus.
BackgroundSince the publication of the first draft of the human genome in 2000, bioinformatic data have been accumulating at an overwhelming pace. Currently, more than 3 million sequences and 35 thousand structures of proteins and nucleic acids are available in public databases. Finding correlations in and between these data to answer critical research questions is extremely challenging. This problem needs to be approached from several directions: information science to organize and search the data; information visualization to assist in recognizing correlations; mathematics to formulate statistical inferences; and biology to analyze chemical and physical properties in terms of sequence and structure changes.ResultsHere we present MultiSeq, a unified bioinformatics analysis environment that allows one to organize, display, align and analyze both sequence and structure data for proteins and nucleic acids. While special emphasis is placed on analyzing the data within the framework of evolutionary biology, the environment is also flexible enough to accommodate other usage patterns. The evolutionary approach is supported by the use of predefined metadata, adherence to standard ontological mappings, and the ability for the user to adjust these classifications using an electronic notebook. MultiSeq contains a new algorithm to generate complete evolutionary profiles that represent the topology of the molecular phylogenetic tree of a homologous group of distantly related proteins. The method, based on the multidimensional QR factorization of multiple sequence and structure alignments, removes redundancy from the alignments and orders the protein sequences by increasing linear dependence, resulting in the identification of a minimal basis set of sequences that spans the evolutionary space of the homologous group of proteins.ConclusionMultiSeq is a major extension of the Multiple Alignment tool that is provided as part of VMD, a structural visualization program for analyzing molecular dynamics simulations. Both are freely distributed by the NIH Resource for Macromolecular Modeling and Bioinformatics and MultiSeq is included with VMD starting with version 1.8.5. The MultiSeq website has details on how to download and use the software: http://www.scs.uiuc.edu/~schulten/multiseq/
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/2bd3699a9cc0fea13adbbb7bb4d44e2fbcd15aa6
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In Molecular Biology
Citations in the corpus
- Dynamical networks in tRNA:protein complexes (2009, methodology): “The MultiSeq (30) plugin in VMD (2) was used to perform all of the steps in the EP construction and analysis.”
- Graphical analysis of pH-dependent properties of proteins predicted using PROPKA (2011, methodology): “Going further, such accessibility to the pKa information together with the VMD MultiSeq tool [14], which allows for structural alignment of homologous proteins, makes the PROPKA GUI a convenient tool to rationalize the differences in the pH-dependent properties between structurally-related proteins.”