Computational Classification of P-Type ATPases

Dan Ariel Søndergaard; Michael Knudsen; Christian Storm Pedersen

doi:10.1007/978-1-4939-3179-8

Computational Classification of P-Type ATPases

Dan Ariel Søndergaard, Michael Knudsen, Christian Storm Pedersen

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Abstract

Analysis of sequence data is inevitable in modern molecular biology, and important information about for example proteins can be inferred efficiently using computational methods. Here, we explain how to use the information in freely available databases together with computational methods for classification and motif detection to assess whether a protein sequence corresponds to a P-type ATPase (and if so, which subtype) or not.

Original language	English
Journal	Methods in Molecular Biology
Volume	1377
Pages (from-to)	493-502
Number of pages	10
ISSN	1064-3745
DOIs	https://doi.org/10.1007/978-1-4939-3179-8
Publication status	Published - 2016

Keywords

Classification
Databases
Motif detection
P-type ATPases
Protein sequences

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10.1007/978-1-4939-3179-8

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title = "Computational Classification of P-Type ATPases",

abstract = "Analysis of sequence data is inevitable in modern molecular biology, and important information about for example proteins can be inferred efficiently using computational methods. Here, we explain how to use the information in freely available databases together with computational methods for classification and motif detection to assess whether a protein sequence corresponds to a P-type ATPase (and if so, which subtype) or not.",

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doi = "10.1007/978-1-4939-3179-8",

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AU - Søndergaard, Dan Ariel

AU - Knudsen, Michael

AU - Pedersen, Christian Storm

PY - 2016

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N2 - Analysis of sequence data is inevitable in modern molecular biology, and important information about for example proteins can be inferred efficiently using computational methods. Here, we explain how to use the information in freely available databases together with computational methods for classification and motif detection to assess whether a protein sequence corresponds to a P-type ATPase (and if so, which subtype) or not.

AB - Analysis of sequence data is inevitable in modern molecular biology, and important information about for example proteins can be inferred efficiently using computational methods. Here, we explain how to use the information in freely available databases together with computational methods for classification and motif detection to assess whether a protein sequence corresponds to a P-type ATPase (and if so, which subtype) or not.

KW - Classification

KW - Databases

KW - Motif detection

KW - P-type ATPases

KW - Protein sequences

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U2 - 10.1007/978-1-4939-3179-8

DO - 10.1007/978-1-4939-3179-8

M3 - Journal article

SN - 1064-3745

VL - 1377

SP - 493

EP - 502

JO - Methods in Molecular Biology

JF - Methods in Molecular Biology

ER -

Computational Classification of P-Type ATPases

Abstract

Keywords

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