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Article: Aptamer Bioinformatics

TitleAptamer Bioinformatics
Authors
KeywordsHTS
aptamer
fragment based design
in silico selection
molecular dynamics
simulation
Issue Date2017
PublisherMolecular Diversity Preservation International. The Journal's web site is located at http://www.mdpi.org/ijms
Citation
International Journal of Molecular Sciences, 2017, v. 18 n. 12, p. E2516 How to Cite?
AbstractAptamers are short nucleic acid sequences capable of specific, high-affinity molecular binding. They are isolated via SELEX (Systematic Evolution of Ligands by Exponential Enrichment), an evolutionary process that involves iterative rounds of selection and amplification before sequencing and aptamer characterization. As aptamers are genetic in nature, bioinformatic approaches have been used to improve both aptamers and their selection. This review will discuss the advancements made in several enclaves of aptamer bioinformatics, including simulation of aptamer selection, fragment-based aptamer design, patterning of libraries, identification of lead aptamers from high-throughput sequencing (HTS) data and in silico aptamer optimization.
Persistent Identifierhttp://hdl.handle.net/10722/259090
ISSN
2017 Impact Factor: 3.687
2015 SCImago Journal Rankings: 1.160
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKinghorn, AB-
dc.contributor.authorFraser, LA-
dc.contributor.authorLiang, S-
dc.contributor.authorShiu, CC-
dc.contributor.authorTanner, JA-
dc.date.accessioned2018-09-03T04:01:20Z-
dc.date.available2018-09-03T04:01:20Z-
dc.date.issued2017-
dc.identifier.citationInternational Journal of Molecular Sciences, 2017, v. 18 n. 12, p. E2516-
dc.identifier.issn1422-0067-
dc.identifier.urihttp://hdl.handle.net/10722/259090-
dc.description.abstractAptamers are short nucleic acid sequences capable of specific, high-affinity molecular binding. They are isolated via SELEX (Systematic Evolution of Ligands by Exponential Enrichment), an evolutionary process that involves iterative rounds of selection and amplification before sequencing and aptamer characterization. As aptamers are genetic in nature, bioinformatic approaches have been used to improve both aptamers and their selection. This review will discuss the advancements made in several enclaves of aptamer bioinformatics, including simulation of aptamer selection, fragment-based aptamer design, patterning of libraries, identification of lead aptamers from high-throughput sequencing (HTS) data and in silico aptamer optimization.-
dc.languageeng-
dc.publisherMolecular Diversity Preservation International. The Journal's web site is located at http://www.mdpi.org/ijms-
dc.relation.ispartofInternational Journal of Molecular Sciences-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectHTS-
dc.subjectaptamer-
dc.subjectfragment based design-
dc.subjectin silico selection-
dc.subjectmolecular dynamics-
dc.subjectsimulation-
dc.titleAptamer Bioinformatics-
dc.typeArticle-
dc.identifier.emailKinghorn, AB: kinghorn@hku.hk-
dc.identifier.emailTanner, JA: jatanner@hkucc.hku.hk-
dc.identifier.authorityTanner, JA=rp00495-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3390/ijms18122516-
dc.identifier.pmid29186809-
dc.identifier.pmcidPMC5751119-
dc.identifier.hkuros289833-
dc.identifier.volume18-
dc.identifier.issue12-
dc.identifier.spageE2516-
dc.identifier.epageE2516-
dc.identifier.isiWOS:000418896700020-
dc.publisher.placeSwitzerland-

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