MoiRNAiFold: a novel tool for complex in silico RNA design
Abstract Novel tools for in silico design of RNA constructs such as riboregulators are required in order to reduce time and cost to production for the development of diagnostic and therapeutic advances. Here, we present MoiRNAiFold, a versatile and user-friendly tool for de novo synthetic RNA design...
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Veröffentlicht in: | Nucleic acids research 2021-05, Vol.49 (9), p.4934-4943 |
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creator | Minuesa, Gerard Alsina, Cristina Garcia-Martin, Juan Antonio Oliveros, Juan Carlos Dotu, Ivan |
description | Abstract
Novel tools for in silico design of RNA constructs such as riboregulators are required in order to reduce time and cost to production for the development of diagnostic and therapeutic advances. Here, we present MoiRNAiFold, a versatile and user-friendly tool for de novo synthetic RNA design. MoiRNAiFold is based on Constraint Programming and it includes novel variable types, heuristics and restart strategies for Large Neighborhood Search. Moreover, this software can handle dozens of design constraints and quality measures and improves features for RNA regulation control of gene expression, such as Translation Efficiency calculation. We demonstrate that MoiRNAiFold outperforms any previous software in benchmarking structural RNA puzzles from EteRNA. Importantly, with regard to biologically relevant RNA designs, we focus on RNA riboregulators, demonstrating that the designed RNA sequences are functional both in vitro and in vivo. Overall, we have generated a powerful tool for de novo complex RNA design that we make freely available as a web server (https://moiraibiodesign.com/design/). |
doi_str_mv | 10.1093/nar/gkab331 |
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Novel tools for in silico design of RNA constructs such as riboregulators are required in order to reduce time and cost to production for the development of diagnostic and therapeutic advances. Here, we present MoiRNAiFold, a versatile and user-friendly tool for de novo synthetic RNA design. MoiRNAiFold is based on Constraint Programming and it includes novel variable types, heuristics and restart strategies for Large Neighborhood Search. Moreover, this software can handle dozens of design constraints and quality measures and improves features for RNA regulation control of gene expression, such as Translation Efficiency calculation. We demonstrate that MoiRNAiFold outperforms any previous software in benchmarking structural RNA puzzles from EteRNA. Importantly, with regard to biologically relevant RNA designs, we focus on RNA riboregulators, demonstrating that the designed RNA sequences are functional both in vitro and in vivo. Overall, we have generated a powerful tool for de novo complex RNA design that we make freely available as a web server (https://moiraibiodesign.com/design/).</description><identifier>ISSN: 0305-1048</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gkab331</identifier><identifier>PMID: 33956139</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Base Sequence ; Computational Biology ; Computer Simulation ; Gene Expression Regulation ; Nucleic Acid Conformation ; Protein Biosynthesis ; RNA - chemistry ; Software ; Synthetic Biology - methods</subject><ispartof>Nucleic acids research, 2021-05, Vol.49 (9), p.4934-4943</ispartof><rights>The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. 2021</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c412t-4e38e9fce3c8f99197c22c68d2ee2f3bee5bbef7effa7e15741a0ff34e5ab7763</citedby><cites>FETCH-LOGICAL-c412t-4e38e9fce3c8f99197c22c68d2ee2f3bee5bbef7effa7e15741a0ff34e5ab7763</cites><orcidid>0000-0002-0438-9557 ; 0000-0002-4520-0853</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136780/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136780/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,1600,27906,27907,53773,53775</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33956139$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Minuesa, Gerard</creatorcontrib><creatorcontrib>Alsina, Cristina</creatorcontrib><creatorcontrib>Garcia-Martin, Juan Antonio</creatorcontrib><creatorcontrib>Oliveros, Juan Carlos</creatorcontrib><creatorcontrib>Dotu, Ivan</creatorcontrib><title>MoiRNAiFold: a novel tool for complex in silico RNA design</title><title>Nucleic acids research</title><addtitle>Nucleic Acids Res</addtitle><description>Abstract
Novel tools for in silico design of RNA constructs such as riboregulators are required in order to reduce time and cost to production for the development of diagnostic and therapeutic advances. Here, we present MoiRNAiFold, a versatile and user-friendly tool for de novo synthetic RNA design. MoiRNAiFold is based on Constraint Programming and it includes novel variable types, heuristics and restart strategies for Large Neighborhood Search. Moreover, this software can handle dozens of design constraints and quality measures and improves features for RNA regulation control of gene expression, such as Translation Efficiency calculation. We demonstrate that MoiRNAiFold outperforms any previous software in benchmarking structural RNA puzzles from EteRNA. Importantly, with regard to biologically relevant RNA designs, we focus on RNA riboregulators, demonstrating that the designed RNA sequences are functional both in vitro and in vivo. Overall, we have generated a powerful tool for de novo complex RNA design that we make freely available as a web server (https://moiraibiodesign.com/design/).</description><subject>Base Sequence</subject><subject>Computational Biology</subject><subject>Computer Simulation</subject><subject>Gene Expression Regulation</subject><subject>Nucleic Acid Conformation</subject><subject>Protein Biosynthesis</subject><subject>RNA - chemistry</subject><subject>Software</subject><subject>Synthetic Biology - methods</subject><issn>0305-1048</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNp9kE1LAzEQQIMotlZP3iUnEWRtvvarB6EUq0JVED2HbHZSo-mmbnaL_ntXWotePM1hHm-Gh9AxJReU5HxYqXo4f1MF53QH9SlPWCTyhO2iPuEkjigRWQ8dhPBKCBU0Fvuox3keJ5TnfTS68_bxfmyn3pUjrHDlV-Bw473DxtdY-8XSwQe2FQ7WWe1xB-MSgp1Xh2jPKBfgaDMH6Hl69TS5iWYP17eT8SzSgrImEsAzyI0GrjOT5zRPNWM6yUoGwAwvAOKiAJOCMSoFGqeCKmIMFxCrIk0TPkCXa--yLRZQaqiaWjm5rO1C1Z_SKyv_bir7Iud-JbOuRZqRTnC2EdT-vYXQyIUNGpxTFfg2SBYzltBEMNGh52tU1z6EGsz2DCXyu7bsastN7Y4--f3Zlv3J2wGna8C3y39NX8vyicc</recordid><startdate>20210521</startdate><enddate>20210521</enddate><creator>Minuesa, Gerard</creator><creator>Alsina, Cristina</creator><creator>Garcia-Martin, Juan Antonio</creator><creator>Oliveros, Juan Carlos</creator><creator>Dotu, Ivan</creator><general>Oxford University Press</general><scope>TOX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0438-9557</orcidid><orcidid>https://orcid.org/0000-0002-4520-0853</orcidid></search><sort><creationdate>20210521</creationdate><title>MoiRNAiFold: a novel tool for complex in silico RNA design</title><author>Minuesa, Gerard ; Alsina, Cristina ; Garcia-Martin, Juan Antonio ; Oliveros, Juan Carlos ; Dotu, Ivan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c412t-4e38e9fce3c8f99197c22c68d2ee2f3bee5bbef7effa7e15741a0ff34e5ab7763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Base Sequence</topic><topic>Computational Biology</topic><topic>Computer Simulation</topic><topic>Gene Expression Regulation</topic><topic>Nucleic Acid Conformation</topic><topic>Protein Biosynthesis</topic><topic>RNA - chemistry</topic><topic>Software</topic><topic>Synthetic Biology - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Minuesa, Gerard</creatorcontrib><creatorcontrib>Alsina, Cristina</creatorcontrib><creatorcontrib>Garcia-Martin, Juan Antonio</creatorcontrib><creatorcontrib>Oliveros, Juan Carlos</creatorcontrib><creatorcontrib>Dotu, Ivan</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nucleic acids research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Minuesa, Gerard</au><au>Alsina, Cristina</au><au>Garcia-Martin, Juan Antonio</au><au>Oliveros, Juan Carlos</au><au>Dotu, Ivan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>MoiRNAiFold: a novel tool for complex in silico RNA design</atitle><jtitle>Nucleic acids research</jtitle><addtitle>Nucleic Acids Res</addtitle><date>2021-05-21</date><risdate>2021</risdate><volume>49</volume><issue>9</issue><spage>4934</spage><epage>4943</epage><pages>4934-4943</pages><issn>0305-1048</issn><eissn>1362-4962</eissn><abstract>Abstract
Novel tools for in silico design of RNA constructs such as riboregulators are required in order to reduce time and cost to production for the development of diagnostic and therapeutic advances. Here, we present MoiRNAiFold, a versatile and user-friendly tool for de novo synthetic RNA design. MoiRNAiFold is based on Constraint Programming and it includes novel variable types, heuristics and restart strategies for Large Neighborhood Search. Moreover, this software can handle dozens of design constraints and quality measures and improves features for RNA regulation control of gene expression, such as Translation Efficiency calculation. We demonstrate that MoiRNAiFold outperforms any previous software in benchmarking structural RNA puzzles from EteRNA. Importantly, with regard to biologically relevant RNA designs, we focus on RNA riboregulators, demonstrating that the designed RNA sequences are functional both in vitro and in vivo. Overall, we have generated a powerful tool for de novo complex RNA design that we make freely available as a web server (https://moiraibiodesign.com/design/).</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>33956139</pmid><doi>10.1093/nar/gkab331</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-0438-9557</orcidid><orcidid>https://orcid.org/0000-0002-4520-0853</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Base Sequence Computational Biology Computer Simulation Gene Expression Regulation Nucleic Acid Conformation Protein Biosynthesis RNA - chemistry Software Synthetic Biology - methods |
title | MoiRNAiFold: a novel tool for complex in silico RNA design |
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