onr:"swepub:oai:DiVA.org:su-141945"
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 03348naa a2200373 4500 | |
| 001 | oai:DiVA.org:su-141945 | |
| 003 | SwePub | |
| 008 | 170421s2017 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1419452 URI |
| 024 | 7 | a https://doi.org/10.1093/bioinformatics/btx2392 DOI |
| 040 | a (SwePub)su | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Michel, Mircou Stockholms universitet,Institutionen för biokemi och biofysik,Science for Life Laboratory (SciLifeLab)4 aut0 (Swepub:su)mimi3965 |
| 245 | 1 0 | a Large-scale structure prediction by improved contact predictions and model quality assessment |
| 264 | c 2017-07-12 | |
| 264 | 1 | b Oxford University Press (OUP),c 2017 |
| 338 | a print2 rdacarrier | |
| 520 | a Motivation: Accurate contact predictions can be used for predicting the structure of proteins. Until recently these methods were limited to very big protein families, decreasing their utility. However, recent progress by combining direct coupling analysis with machine learning methods has made it possible to predict accurate contact maps for smaller families. To what extent these predictions can be used to produce accurate models of the families is not known. Results: We present the PconsFold2 pipeline that uses contact predictions from PconsC3, the CONFOLD folding algorithm and model quality estimations to predict the structure of a protein. We show that the model quality estimation significantly increases the number of models that reliably can be identified. Finally, we apply PconsFold2 to 6379 Pfam families of unknown structure and find that PconsFold2 can, with an estimated 90% specificity, predict the structure of up to 558 Pfam families of unknown structure. Out of these 415 have not been reported before. Availability: Datasets as well as models of all the 558 Pfam families are available at http://c3.pcons.net. All programs used here are freely available. | |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Bioinformatik0 (SwePub)102032 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Bioinformatics0 (SwePub)102032 hsv//eng |
| 653 | a Biochemistry towards Bioinformatics | |
| 653 | a biokemi med inriktning mot bioinformatik | |
| 700 | 1 | a Menéndez Hurtado, Davidu Stockholms universitet,Institutionen för biokemi och biofysik,Science for Life Laboratory (SciLifeLab)4 aut0 (Swepub:su)dmene |
| 700 | 1 | a Uziela, Karolisu Stockholms universitet,Institutionen för biokemi och biofysik,Science for Life Laboratory (SciLifeLab)4 aut0 (Swepub:su)kuzie |
| 700 | 1 | a Elofsson, Arneu Stockholms universitet,Institutionen för biokemi och biofysik,Science for Life Laboratory (SciLifeLab)4 aut0 (Swepub:su)aelof |
| 710 | 2 | a Stockholms universitetb Institutionen för biokemi och biofysik4 org |
| 773 | 0 | t Bioinformaticsd : Oxford University Press (OUP)g 33:14, s. 123-129q 33:14<123-129x 1367-4803x 1367-4811x 1460-2059 |
| 856 | 4 | u https://doi.org/10.1093/bioinformatics/btx239y Fulltext |
| 856 | 4 | u https://academic.oup.com/bioinformatics/article-pdf/33/14/i23/25156786/btx239.pdf |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-141945 |
| 856 | 4 8 | u https://doi.org/10.1093/bioinformatics/btx239 |
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