Amino acid similarity matrices based on force fields

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dc.contributor.authorDoszt�nyi, Zsuzsanna
dc.contributor.authorTorda, Andrew
dc.date.accessioned2015-12-10T23:22:29Z
dc.date.issued2001
dc.date.updated2015-12-10T10:31:18Z
dc.description.abstractMotivation: We propose a general method for deriving amino acid substitution matrices from low resolution force fields. Unlike current popular methods, the approach does not rely on evolutionary arguments or alignment of sequences or structures. Instead,
dc.identifier.issn1367-4803
dc.identifier.urihttp://hdl.handle.net/1885/66536
dc.publisherOxford University Press
dc.sourceBioinformatics
dc.subjectKeywords: amino acid; protein; amino acid sequence; amino acid substitution; article; controlled study; energy; mathematical computing; methodology; mutation; philosophy; priority journal; scoring system; sequence analysis; Amino Acid Substitution; Chemistry, Physi
dc.titleAmino acid similarity matrices based on force fields
dc.typeJournal article
local.bibliographicCitation.issue8
local.bibliographicCitation.lastpage699
local.bibliographicCitation.startpage686
local.contributor.affiliationDoszt�nyi, Zsuzsanna, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationTorda, Andrew, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidDoszt�nyi, Zsuzsanna, u9901695
local.contributor.authoruidTorda, Andrew, u9510544
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor030505 - Physical Organic Chemistry
local.identifier.ariespublicationMigratedxPub1301
local.identifier.citationvolume17
local.identifier.scopusID2-s2.0-0034855724
local.type.statusPublished Version

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