Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Automated Protein Design and Sequence 0ptimisation: Scoring Functions and the Search Problem

dc.contributor.authorCootes, Adrian
dc.contributor.authorCurmi, Paul
dc.contributor.authorTorda, Andrew
dc.date.accessioned2015-12-13T23:14:52Z
dc.date.available2015-12-13T23:14:52Z
dc.date.issued2000
dc.date.updated2015-12-12T08:40:43Z
dc.description.abstractAdvances in molecular biology may mean that almost any protein sequence can be synthesised, but perhaps this has served to highlight the inadequacy of theoretical work. For a given protein fold, it is probably not possible to reliably predict an "ideal" sequence. We identify and survey several aspects of the problem. Firstly, it is not clear what is the best way to score a sequence-structure pair. Secondly, there is no consensus as to what the score function should represent (free energy or some abstract measure of sequence-structure compatibility). Finally, the number of possible sequences is astronomical and searching this space poses a daunting optimisation problem. These problems are discussed in the light of recent experimental successes.
dc.identifier.issn1389-2037
dc.identifier.urihttp://hdl.handle.net/1885/88823
dc.publisherBentham Science Publishers Ltd
dc.sourceCurrent Protein and Peptide Science
dc.subjectKeywords: amino acid; protein; algorithm; amino acid sequence; biology; chemistry; Monte Carlo method; mutagenesis; protein conformation; protein engineering; protein folding; review; structure activity relation; synthesis; Algorithms; Amino Acid Sequence; Amino Ac
dc.titleAutomated Protein Design and Sequence 0ptimisation: Scoring Functions and the Search Problem
dc.typeJournal article
local.bibliographicCitation.issue3
local.bibliographicCitation.startpage255?271
local.contributor.affiliationCootes, Adrian, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationCurmi, Paul, University of New South Wales
local.contributor.affiliationTorda, Andrew, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidCootes, Adrian, u941501
local.contributor.authoruidTorda, Andrew, u9510544
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor110106 - Medical Biochemistry: Proteins and Peptides (incl. Medical Proteomics)
local.identifier.ariespublicationMigratedxPub18666
local.identifier.citationvolume1
local.identifier.scopusID2-s2.0-0034334330
local.type.statusPublished Version

Downloads