Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Karolis Uziela"'
Autor:
Karolis Uziela, Antti Honkela
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0126545 (2015)
Rapidly growing public gene expression databases contain a wealth of data for building an unprecedentedly detailed picture of human biology and disease. This data comes from many diverse measurement platforms that make integrating it all difficult. A
Externí odkaz:
https://doaj.org/article/51ab5bc1341544adbefcbe736f0f55e0
Autor:
Björn Wallner, Karolis Uziela, Torsten Schwede, Arne Elofsson, David Menéndez-Hurtado, Česlovas Venclovas, Jie Hou, Myong‐Ho Choe, Gabriel Studer, Kliment Olechnovič, Liam J. McGuffin, Ali H. A. Maghrabi, Kun‐Sop Han, Jianlin Cheng
Publikováno v:
Proteins
Methods to reliably estimate the accuracy of 3D models of proteins are both a fundamental part of most protein folding pipelines and important for reliable identification of the best models when multiple pipelines are used. Here, we describe the prog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0e943df4d69be73e72cbfd974e49a60
https://doi.org/10.1002/prot.25767
https://doi.org/10.1002/prot.25767
Publikováno v:
bioRxiv
UnpayWall
ORCID
Microsoft Academic Graph
Datacite
UnpayWall
ORCID
Microsoft Academic Graph
Datacite
Protein modeling quality is an important part of protein structure prediction. We have for more than a decade developed a set of methods for this problem. We have used various types of description of the protein and different machine learning methodo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c479b8391c1c87bdb6156a6d07086a06
https://doi.org/10.1002/prot.25492
https://doi.org/10.1002/prot.25492
Publikováno v:
Bioinformatics
MotivationAccurate 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 analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29d12399343a5b9fe9b33e6842c87cd1
http://europepmc.org/articles/PMC5870574
http://europepmc.org/articles/PMC5870574
Autor:
Arne Elofsson, David Menéndez Hurtado, Chen Keasar, Ali H. A. Maghrabi, Balachandran Manavalan, Jooyoung Lee, Björn Wallner, Keehyoung Joo, Liam J. McGuffin, Tomer Sidi, Robert Pilstål, Karolis Uziela, Claudio Mirabello
Publikováno v:
Proteins. 86
Methods to reliably estimate the quality of 3D models of proteins are essential drivers for the wide adoption and serious acceptance of protein structure predictions by life scientists. In this article, the most successful groups in CASP12 describe t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98478b0c4c4ea76a4253e91120fbbf24
https://pubmed.ncbi.nlm.nih.gov/28975666
https://pubmed.ncbi.nlm.nih.gov/28975666
Publikováno v:
Bioinformatics (Oxford, England). 33(10)
Summary Protein quality assessment is a long-standing problem in bioinformatics. For more than a decade we have developed state-of-art predictors by carefully selecting and optimising inputs to a machine learning method. The correlation has increased
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b362c8c24152b0075dfec0ba0f641b57
https://pubmed.ncbi.nlm.nih.gov/28052925
https://pubmed.ncbi.nlm.nih.gov/28052925
Autor:
Karolis Uziela, Antti Honkela
Publikováno v:
PLoS ONE
PLoS ONE, Vol 10, Iss 5, p e0126545 (2015)
PLoS ONE, Vol 10, Iss 5, p e0126545 (2015)
Rapidly growing public gene expression databases contain a wealth of data for building an unprecedentedly detailed picture of human biology and disease. This data comes from many diverse measurement platforms that make integrating it all difficult. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::080337ca1fdd5be8265e142fc27b1c7d
https://pubmed.ncbi.nlm.nih.gov/25966034
https://pubmed.ncbi.nlm.nih.gov/25966034