Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Dinara R Usmanova"'
Publikováno v:
eLife, Vol 8 (2019)
Functional conservation is known to constrain protein evolution. Nevertheless, the long-term divergence patterns of proteins maintaining the same molecular function and the possible limits of this divergence have not been explored in detail. We inves
Externí odkaz:
https://doaj.org/article/f05496596e4847a6ac2c657d10d65cf6
Autor:
Victoria O Pokusaeva, Dinara R Usmanova, Ekaterina V Putintseva, Lorena Espinar, Karen S Sarkisyan, Alexander S Mishin, Natalya S Bogatyreva, Dmitry N Ivankov, Arseniy V Akopyan, Sergey Ya Avvakumov, Inna S Povolotskaya, Guillaume J Filion, Lucas B Carey, Fyodor A Kondrashov
Publikováno v:
PLoS Genetics, Vol 15, Iss 4, p e1008079 (2019)
Characterizing the fitness landscape, a representation of fitness for a large set of genotypes, is key to understanding how genetic information is interpreted to create functional organisms. Here we determined the evolutionarily-relevant segment of t
Externí odkaz:
https://doaj.org/article/e66bf1d0a4ec429799bdc20106b09434
Autor:
Marc Corrales, Pol Cuscó, Dinara R Usmanova, Heng-Chang Chen, Natalya S Bogatyreva, Guillaume J Filion, Dmitry N Ivankov
Publikováno v:
PLoS ONE, Vol 10, Iss 11, p e0143166 (2015)
The prediction of protein folding rates is a necessary step towards understanding the principles of protein folding. Due to the increasing amount of experimental data, numerous protein folding models and predictors of protein folding rates have been
Externí odkaz:
https://doaj.org/article/27b2f8226f204264950a9b036b97bb33
Publikováno v:
Genome Biology and Evolution
For more than a decade, the misfolding avoidance hypothesis (MAH) and related theories have dominated evolutionary discussions aimed at explaining the variance of the molecular clock across cellular proteins. In this study, we use various experimenta
Autor:
Alexander V Meister, Anastasiya A. Gorshkova, Lyubov R Lonishin, Natalya S. Bogatyreva, Joan Ariño Bernad, Dinara R. Usmanova, German M Kanevskiy, Dmitry N. Ivankov, Aleksandra A Eremina, Fyodor A. Kondrashov, Alisa G Yakupova
Publikováno v:
Bioinformatics
Motivation Computational prediction of the effect of mutations on protein stability is used by researchers in many fields. The utility of the prediction methods is affected by their accuracy and bias. Bias, a systematic shift of the predicted change
For more than a decade the misfolding avoidance hypothesis (MAH) and related theories have dominated evolutionary discussions aimed at explaining the variance of molecular clock across cellular proteins. In this study we use various experimental data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a091e9f574b76593a35b02025f3b8d99
https://doi.org/10.1101/736280
https://doi.org/10.1101/736280
Autor:
Inna S. Povolotskaya, Alexander S. Mishin, Guillaume J. Filion, Natalya S. Bogatyreva, Dinara R. Usmanova, Ekaterina V. Putintseva, Lorena Espinar, Fyodor A. Kondrashov, Dmitry N. Ivankov, Karen S. Sarkisyan, Arseniy Akopyan, Sergey Avvakumov, Victoria O. Pokusaeva, Lucas B. Carey
Publikováno v:
PLoS Genetics
PLOS Genetics
PLoS Genetics, Vol 15, Iss 4, p e1008079 (2019)
Recercat. Dipósit de la Recerca de Catalunya
instname
PLOS Genetics
PLoS Genetics, Vol 15, Iss 4, p e1008079 (2019)
Recercat. Dipósit de la Recerca de Catalunya
instname
Characterizing the fitness landscape, a representation of fitness for a large set of genotypes, is key to understanding how genetic information is interpreted to create functional organisms. Here we determined the evolutionarily-relevant segment of t
Autor:
Evgeny S. Egorov, Dmitry A. Bolotin, Dinara R. Usmanova, Alexey S. Kondrashov, Mikhail S. Baranov, Dmitry M. Chudakov, Ekaterina V. Putintseva, Konstantin A. Lukyanov, Natalya S. Bogatyreva, Onuralp Soylemez, Fyodor A. Kondrashov, Margarita Meer, Alexander S. Mishin, Nina G. Bozhanova, Ilgar Z. Mamedov, Peter K. Vlasov, George V. Sharonov, Karen S. Sarkisyan, Dmitry N. Ivankov, Dan S. Tawfik, Maria D. Logacheva
Publikováno v:
Nature
Fitness landscapes1,2, depictions of how genotypes manifest at the phenotypic level, form the basis for our understanding of many areas of biology2–7 yet their properties remain elusive. Studies addressing this issue often consider specific genes a
Autor:
Ekaterina V. Putintseva, Lorena Espinar, Karen S. Sarkisyan, Dinara R. Usmanova, Natalya S. Bogatyreva, Sergey Avvakumov, Inna S. Povolotskaya, Alexander S. Mishin, Victoria O. Pokusaeva, Arseniy Akopyan, Guillaume J. Filion, Dmitry N. Ivankov, Lucas B. Carey, Fyodor A. Kondrashov
Characterizing the fitness landscape, a representation of fitness for a large set of genotypes is key to understanding how genetic information is interpreted to create functional organisms. Here we determined the evolutionarily-relevant segment of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c39cc059745f75ac4a631efff45e02b
https://doi.org/10.1101/222778
https://doi.org/10.1101/222778