Zobrazeno 1 - 10
of 157
pro vyhledávání: '"Thomson problem"'
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)
Abstract Background Current state-of-the-art deep learning approaches for protein fold recognition learn protein embeddings that improve prediction performance at the fold level. However, there still exists aperformance gap at the fold level and the
Externí odkaz:
https://doaj.org/article/e3624e17b0f74f25abedeeef1b3ef522
Akademický článek
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Publikováno v:
Nature Physics. 18:203-211
Spatial organization of catalytic particles is ubiquitous in biological systems across different length scales, from enzyme complexes to metabolically coupled cells. Despite the different scales, these systems share common features of localized react
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::517c8f62efe816d877dec93cc94d69f2
https://doi.org/10.1038/s41567-021-01444-4
https://doi.org/10.1038/s41567-021-01444-4
Autor:
Ilyas Fatkhullin, Boris T. Polyak
Publikováno v:
Computational Mathematics and Mathematical Physics. 60:795-807
The problem of minimizing the energy of a system of $$N$$ points on a sphere in $${{\mathbb{R}}^{3}}$$ , interacting with the potential $$U = \tfrac{1}{{{{r}^{s}}}}$$ , $$s > 0$$ , where $$r$$ is the Euclidean distance between a pair of points, is co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c6ad77578cfd5049129677bbb8339c0
https://doi.org/10.1134/s0965542520050127
https://doi.org/10.1134/s0965542520050127
Publikováno v:
Proceedings of the American Mathematical Society, 2007 Aug 01. 135(8), 2369-2380.
Externí odkaz:
http://dx.doi.org/10.1090/S0002-9939-07-08975-7
The geometrical structures of single- and multiple-shell icosahedral virus capsids are reproduced as the targets that minimize the cost corresponding to relatively simple design functions. Capsid subunits are first identified as building blocks at a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba921a717d79ec16c5186f5c52c87fb
https://www.repository.cam.ac.uk/handle/1810/329236
https://www.repository.cam.ac.uk/handle/1810/329236
Autor:
Shota Ono
Publikováno v:
Physical Review B. 104
Finding minimum energy distribution of $N$ charges on a sphere is known as the Thomson problem. Here, we study the vibrational properties of the $N$ charges in the lowest energy state within the harmonic approximation for $10\le N\le 200$ and for sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a33fce50099a696eeb91a099100e244a
https://doi.org/10.1103/physrevb.104.094105
https://doi.org/10.1103/physrevb.104.094105
Autor:
A.Yu. Grishentsev
Publikováno v:
Scientific and Technical Journal of Information Technologies, Mechanics and Optics. :730-739
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9295827097907009be876a085f6fb2c3
https://doi.org/10.17586/2226-1494-2019-19-4-730-739
https://doi.org/10.17586/2226-1494-2019-19-4-730-739
Publikováno v:
Soft Matter. 15:9394-9404
Confinement or geometric frustration is known to alter the structure of soft matter, including copolymeric melts, and can consequently be used to tune structure and properties. Here we investigate the self-assembly of ABC and ABB 3-miktoarm star copo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19d487286b75c4f055e213e2d1294e72
https://doi.org/10.1039/c9sm01460h
https://doi.org/10.1039/c9sm01460h
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)
Digibug. Repositorio Institucional de la Universidad de Granada
Consorcio Madroño
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)
Digibug. Repositorio Institucional de la Universidad de Granada
Consorcio Madroño
Background Current state-of-the-art deep learning approaches for protein fold recognition learn protein embeddings that improve prediction performance at the fold level. However, there still exists aperformance gap at the fold level and the (relative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a40a6b2f94d937f13e2c0ba10c140ff
https://pubmed.ncbi.nlm.nih.gov/34641786
https://pubmed.ncbi.nlm.nih.gov/34641786