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Locating transmembrane domains in protein sequences
Blekinge Institute of Technology, Department of Software Engineering and Computer Science.
Blekinge Institute of Technology, Department of Software Engineering and Computer Science.
2003 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

We have developed a new approach for locating transmembrane domains in protein sequences based on hydrophobicity analysis and backpropagation neural network or k-nearest-neighbor as classifiers. Our system was able to locate over 98% of the transmembrane domains and the total accuracy including overpredictions was above 95%.

Place, publisher, year, edition, pages
2003. , 26 p.
Keyword [en]
transmembranes, membrane proteins, prediction
Keyword [sv]
Fristående kurs
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-2752Local ID: oai:bth.se:arkivex9333FA6D231AF40EC1256D4E005B7B50OAI: oai:DiVA.org:bth-2752DiVA: diva2:830044
Uppsok
Technology
Supervisors
Available from: 2015-04-22 Created: 2003-06-23 Last updated: 2015-06-30Bibliographically approved

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fulltext(1223 kB)464 downloads
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File name FULLTEXT01.pdfFile size 1223 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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  • apa
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