Protein threading (Czech Wikipedia)

Analysis of information sources in references of the Wikipedia article "Protein threading" in Czech language version.

refsWebsite

Global rank Czech rank

5doi.org

2^nd place

4^th place

3worldcat.org

5^th place

3^rd place

3nih.gov

4^th place

8^th place

2wiley.com

222^nd place

83^rd place

1sciencemag.org

857^th place

315^th place

1nature.com

234^th place

72^nd place

1oup.com

485^th place

155^th place

doi.org

dx.doi.org

BOWIE, J.; LUTHY, R; EISENBERG, D. A method to identify protein sequences that fold into a known three-dimensional structure. Science. 1991-07-12, roč. 253, čís. 5016, s. 164–170. Dostupné online [cit. 2020-12-10]. ISSN 0036-8075. DOI 10.1126/science.1853201. (anglicky)
JONES, D. T.; TAYLORT, W. R.; THORNTON, J. M. A new approach to protein fold recognition. Nature. 1992-07, roč. 358, čís. 6381, s. 86–89. Dostupné online [cit. 2020-12-10]. ISSN 1476-4687. DOI 10.1038/358086a0. (anglicky)
PENG, Jian; XU, Jinbo. Raptorx: Exploiting structure information for protein alignment by statistical inference. Proteins: Structure, Function, and Bioinformatics. 2011, roč. 79, čís. S10, s. 161–171. Dostupné online [cit. 2020-12-10]. DOI 10.1002/prot.23175. PMID 21987485. (anglicky)
WU, Sitao; ZHANG, Yang. MUSTER: Improving protein sequence profile-profile alignments by using multiple sources of structure information. Proteins: Structure, Function, and Bioinformatics. 2008-02-04, roč. 72, čís. 2, s. 547–556. Dostupné online [cit. 2020-12-10]. DOI 10.1002/prot.21945. PMID 18247410. (anglicky)
YANG, Y.; FARAGGI, E.; ZHAO, H. Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates. Bioinformatics. 2011-08-01, roč. 27, čís. 15, s. 2076–2082. Dostupné online [cit. 2020-12-10]. ISSN 1367-4803. DOI 10.1093/bioinformatics/btr350. PMID 21666270. (anglicky)

nature.com

JONES, D. T.; TAYLORT, W. R.; THORNTON, J. M. A new approach to protein fold recognition. Nature. 1992-07, roč. 358, čís. 6381, s. 86–89. Dostupné online [cit. 2020-12-10]. ISSN 1476-4687. DOI 10.1038/358086a0. (anglicky)

nih.gov

ncbi.nlm.nih.gov

PENG, Jian; XU, Jinbo. Raptorx: Exploiting structure information for protein alignment by statistical inference. Proteins: Structure, Function, and Bioinformatics. 2011, roč. 79, čís. S10, s. 161–171. Dostupné online [cit. 2020-12-10]. DOI 10.1002/prot.23175. PMID 21987485. (anglicky)
WU, Sitao; ZHANG, Yang. MUSTER: Improving protein sequence profile-profile alignments by using multiple sources of structure information. Proteins: Structure, Function, and Bioinformatics. 2008-02-04, roč. 72, čís. 2, s. 547–556. Dostupné online [cit. 2020-12-10]. DOI 10.1002/prot.21945. PMID 18247410. (anglicky)
YANG, Y.; FARAGGI, E.; ZHAO, H. Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates. Bioinformatics. 2011-08-01, roč. 27, čís. 15, s. 2076–2082. Dostupné online [cit. 2020-12-10]. ISSN 1367-4803. DOI 10.1093/bioinformatics/btr350. PMID 21666270. (anglicky)

oup.com

academic.oup.com

YANG, Y.; FARAGGI, E.; ZHAO, H. Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates. Bioinformatics. 2011-08-01, roč. 27, čís. 15, s. 2076–2082. Dostupné online [cit. 2020-12-10]. ISSN 1367-4803. DOI 10.1093/bioinformatics/btr350. PMID 21666270. (anglicky)

sciencemag.org

BOWIE, J.; LUTHY, R; EISENBERG, D. A method to identify protein sequences that fold into a known three-dimensional structure. Science. 1991-07-12, roč. 253, čís. 5016, s. 164–170. Dostupné online [cit. 2020-12-10]. ISSN 0036-8075. DOI 10.1126/science.1853201. (anglicky)

wiley.com

doi.wiley.com

PENG, Jian; XU, Jinbo. Raptorx: Exploiting structure information for protein alignment by statistical inference. Proteins: Structure, Function, and Bioinformatics. 2011, roč. 79, čís. S10, s. 161–171. Dostupné online [cit. 2020-12-10]. DOI 10.1002/prot.23175. PMID 21987485. (anglicky)
WU, Sitao; ZHANG, Yang. MUSTER: Improving protein sequence profile-profile alignments by using multiple sources of structure information. Proteins: Structure, Function, and Bioinformatics. 2008-02-04, roč. 72, čís. 2, s. 547–556. Dostupné online [cit. 2020-12-10]. DOI 10.1002/prot.21945. PMID 18247410. (anglicky)

worldcat.org

BOWIE, J.; LUTHY, R; EISENBERG, D. A method to identify protein sequences that fold into a known three-dimensional structure. Science. 1991-07-12, roč. 253, čís. 5016, s. 164–170. Dostupné online [cit. 2020-12-10]. ISSN 0036-8075. DOI 10.1126/science.1853201. (anglicky)
JONES, D. T.; TAYLORT, W. R.; THORNTON, J. M. A new approach to protein fold recognition. Nature. 1992-07, roč. 358, čís. 6381, s. 86–89. Dostupné online [cit. 2020-12-10]. ISSN 1476-4687. DOI 10.1038/358086a0. (anglicky)
YANG, Y.; FARAGGI, E.; ZHAO, H. Improving protein fold recognition and template-based modeling by employing probabilistic-based matching between predicted one-dimensional structural properties of query and corresponding native properties of templates. Bioinformatics. 2011-08-01, roč. 27, čís. 15, s. 2076–2082. Dostupné online [cit. 2020-12-10]. ISSN 1367-4803. DOI 10.1093/bioinformatics/btr350. PMID 21666270. (anglicky)