Multimodal representations, indexing, unexpectedness and proteins

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DOIResolve DOI: http://doi.org/10.1007/978-3-642-21822-4_10
AuthorSearch for: ; Search for:
TypeBook Chapter
Proceedings titleModern Approaches in Applied Intelligence : 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011, Syracuse, NY, USA, June 28 – July 1, 2011, Proceedings, Part I
Series titleLecture Notes In Computer Science; Volume 6703
Conference24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2011), June 28-July 1 2011, Syracuse, New York, USA
ISSN0302-9743
ISBN978-3-642-21821-7
978-3-642-21822-4
Pages8594; # of pages: 10
Subject3D; Amino acid sequences; Multi-modal; retrieval; shape; unexpectedness; Amino acids; Indexing (of information); Industrial engineering; Intelligent systems; Systems analysis; Topology; Proteins
AbstractComplex systems, such as proteins, are inherently difficult to describe, analyse and interpret. A multimodal methodology which utilizes various diverse representations is needed to further our understanding of such intrinsically multifaceted systems. This paper presents a multimodal system designed to describe and interpret the content of the Protein Data Bank, a repository which contains tens of thousands of known proteins. We describe how complimentary modalities based on the amino acid sequence, the protein's backbone (or topology) and the envelope (the outer shape), are used when furthering our understanding of proteins' functionalities, behaviours and interactions. We illustrate our methodology against the human haemoglobin and show that the interplay between modalities allows our system to find unexpected, complimentary results with different domains of validity. © 2011 Springer-Verlag.
Publication date
PublisherSpringer Berlin Heidelberg
LanguageEnglish
AffiliationNational Research Council Canada
Peer reviewedYes
NPARC number21271604
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Record identifier381c2ec9-1be0-4c3e-a95a-02c35e320fec
Record created2014-03-24
Record modified2016-07-15
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