Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Natalya S Bogatyreva"'
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:
PLoS ONE, Vol 6, Iss 12, p e28464 (2011)
Here we present a systematic analysis of accessible surface areas and hydrogen bonds of 2554 globular proteins from four structural classes (all-α, all-β, α/β and α+β proteins) that is aimed to learn in which structural class the accessible sur
Externí odkaz:
https://doaj.org/article/6371ba6002be4ba9988a2bd6efe4d00a
Autor:
Michail Yu Lobanov, Eugeniya I Furletova, Natalya S Bogatyreva, Michail A Roytberg, Oxana V Galzitskaya
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 10, p e1000958 (2010)
Intrinsically disordered regions serve as molecular recognition elements, which play an important role in the control of many cellular processes and signaling pathways. It is useful to be able to predict positions of disordered regions in protein cha
Externí odkaz:
https://doaj.org/article/594576c712fd4b48bf67b8b707db5a19
Publikováno v:
PLoS ONE, Vol 4, Iss 8, p e6476 (2009)
There are several important questions on the coupling between properties of the protein shape and the rate of protein folding. We have studied a series of structural descriptors intended for describing protein shapes (the radius of gyration, the radi
Externí odkaz:
https://doaj.org/article/d3209bc3d50f4423b1ee7af56e619b22
Publikováno v:
Biophysical Reviews. 14:1255-1272
Publikováno v:
Biophysical Reviews. 15:161-161
Autor:
Gregory Leleytner, Laura Avino Esteban, Daniil Bobrovskiy, Fyodor A. Kondrashov, Natalya S. Bogatyreva, Dmitry N. Ivankov, Lyubov R Lonishin
Publikováno v:
Bioinformatics
Motivation Epistasis, the context-dependence of the contribution of an amino acid substitution to fitness, is common in evolution. To detect epistasis, fitness must be measured for at least four genotypes: the reference genotype, two different single
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad896b1020cdfe8f14de09c15197453c
http://hdl.handle.net/10230/45879
http://hdl.handle.net/10230/45879
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
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