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Refinado por: Base de dados/Biblioteca: IngentaConnect Journals remover Base de dados/Biblioteca: BACON - Mir@bel - GLOBAL_LIBRESACCES remover
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Clogging transition of many-particle systems flowing through bottlenecks
Clogging transition of many-particle systems flowing through bottlenecks
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Clogging transition of many-particle systems flowing through bottlenecks

Zuriguel, Iker ; Parisi, Daniel Ricardo ; Hidalgo, Raúl Cruz ; Lozano, Celia ; Janda, Alvaro ; Gago, Paula Alejandra ; Peralta, Juan Pablo ; Ferrer, Luis Miguel ; Pugnaloni, Luis Ariel ; Clément, Eric ; Maza, Diego ; Pagonabarraga, Ignacio ; Garcimartín, Angel

Scientific reports, 2014-12, Vol.4 (1), p.7324-7324, Article 7324 [Periódico revisado por pares]

England: Nature Publishing Group

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2
Pfam: The protein families database in 2021
Pfam: The protein families database in 2021
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Pfam: The protein families database in 2021

Mistry, Jaina ; Chuguransky, Sara ; Williams, Lowri ; Qureshi, Matloob ; Salazar, Gustavo A ; Sonnhammer, Erik L L ; Tosatto, Silvio C E ; Paladin, Lisanna ; Raj, Shriya ; Richardson, Lorna J ; Finn, Robert D ; Bateman, Alex

Nucleic acids research, 2021-01, Vol.49 (D1), p.D412-D419 [Periódico revisado por pares]

England: Oxford University Press

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3
ProteinsPlus: a comprehensive collection of web-based molecular modeling tools
ProteinsPlus: a comprehensive collection of web-based molecular modeling tools
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ProteinsPlus: a comprehensive collection of web-based molecular modeling tools

Schöning-Stierand, Katrin ; Diedrich, Konrad ; Ehrt, Christiane ; Flachsenberg, Florian ; Graef, Joel ; Sieg, Jochen ; Penner, Patrick ; Poppinga, Martin ; Ungethüm, Annett ; Rarey, Matthias

Nucleic acids research, 2022-07, Vol.50 (W1), p.W611-W615 [Periódico revisado por pares]

England: Oxford University Press

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4
Insights into Protein-Ligand Interactions: Mechanisms, Models, and Methods
Insights into Protein-Ligand Interactions: Mechanisms, Models, and Methods
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Insights into Protein-Ligand Interactions: Mechanisms, Models, and Methods

Du, Xing ; Li, Yi ; Xia, Yuan-Ling ; Ai, Shi-Meng ; Liang, Jing ; Sang, Peng ; Ji, Xing-Lai ; Liu, Shu-Qun

International journal of molecular sciences, 2016-01, Vol.17 (2), p.144-144 [Periódico revisado por pares]

Switzerland: MDPI AG

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5
Interplay of folded domains and the disordered low-complexity domain in mediating hnRNPA1 phase separation
Interplay of folded domains and the disordered low-complexity domain in mediating hnRNPA1 phase separation
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Interplay of folded domains and the disordered low-complexity domain in mediating hnRNPA1 phase separation

Martin, Erik W ; Thomasen, F Emil ; Milkovic, Nicole M ; Cuneo, Matthew J ; Grace, Christy R ; Nourse, Amanda ; Lindorff-Larsen, Kresten ; Mittag, Tanja

Nucleic acids research, 2021-03, Vol.49 (5), p.2931-2945 [Periódico revisado por pares]

England: Oxford University Press

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6
Is It Reliable to Take the Molecular Docking Top Scoring Position as the Best Solution without Considering Available Structural Data?
Is It Reliable to Take the Molecular Docking Top Scoring Position as the Best Solution without Considering Available Structural Data?
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Is It Reliable to Take the Molecular Docking Top Scoring Position as the Best Solution without Considering Available Structural Data?

Ramírez, David ; Caballero, Julio

Molecules (Basel, Switzerland), 2018-04, Vol.23 (5), p.1038 [Periódico revisado por pares]

Switzerland: MDPI AG

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7
Plant-Derived Anticancer Compounds as New Perspectives in Drug Discovery and Alternative Therapy
Plant-Derived Anticancer Compounds as New Perspectives in Drug Discovery and Alternative Therapy
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Plant-Derived Anticancer Compounds as New Perspectives in Drug Discovery and Alternative Therapy

Dehelean, Cristina Adriana ; Marcovici, Iasmina ; Soica, Codruta ; Mioc, Marius ; Coricovac, Dorina ; Iurciuc, Stela ; Cretu, Octavian Marius ; Pinzaru, Iulia

Molecules (Basel, Switzerland), 2021-02, Vol.26 (4), p.1109 [Periódico revisado por pares]

Switzerland: MDPI

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8
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
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DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences

Lee, Ingoo ; Keum, Jongsoo ; Nam, Hojung Briggs, James M.

PLoS computational biology, 2019-06, Vol.15 (6), p.e1007129 [Periódico revisado por pares]

United States: Public Library of Science

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9
Cryo-EM structure of the SARS coronavirus spike glycoprotein in complex with its host cell receptor ACE2
Cryo-EM structure of the SARS coronavirus spike glycoprotein in complex with its host cell receptor ACE2
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Cryo-EM structure of the SARS coronavirus spike glycoprotein in complex with its host cell receptor ACE2

Song, Wenfei ; Gui, Miao ; Wang, Xinquan ; Xiang, Ye Heise, Mark T.

PLoS pathogens, 2018-08, Vol.14 (8), p.e1007236-e1007236 [Periódico revisado por pares]

United States: Public Library of Science

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10
Using atomistic solution scattering modelling to elucidate the role of the Fc glycans in human IgG4
Using atomistic solution scattering modelling to elucidate the role of the Fc glycans in human IgG4
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Using atomistic solution scattering modelling to elucidate the role of the Fc glycans in human IgG4

Spiteri, Valentina A ; Doutch, James ; Rambo, Robert P ; Bhatt, Jayesh S ; Gor, Jayesh ; Dalby, Paul A ; Perkins, Stephen J

PloS one, 2024, Vol.19 (4), p.e0300964-e0300964 [Periódico revisado por pares]

United States: Public Library of Science

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