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Publication : plos computational biology

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Academic Journal

Uncovering population contributions to the extracellular potential in the mouse visual system using Laminar Population Analysis.

Authors : Rimehaug, Atle E.¹ (AUTHOR) ; Dale, Anders M.² (AUTHOR); Arkhipov, Anton³ (AUTHOR)

Source: PLoS Computational Biology. 12/12/2024, Vol. 20 Issue 12, p1-39. 39p.

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Academic Journal

Specificity and tunability of efflux pumps: A new role for the proton gradient?

Authors : Gerry, Matthew¹ (AUTHOR) ; Kirby, Duncan¹ (AUTHOR); Alexandrov, Boian S² (AUTHOR)

Source: PLoS Computational Biology. 1/27/2025, Vol. 21 Issue 1, p1-22. 22p.

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Academic Journal

A Structural Model of Truncated Gaussia princeps Luciferase Elucidating the Crucial Catalytic Function of No.76 Arginine towards Coelenterazine Oxidation.

Authors : Wu, Nan^1,2 (AUTHOR) ; Xu, Zhi-Chao^1,2 (AUTHOR); Du, Kai-Dong^1,2 (AUTHOR)

Source: PLoS Computational Biology. 1/21/2025, Vol. 21 Issue 1, p1-26. 26p.

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Academic Journal

Exploring the potential of structure-based deep learning approaches for T cell receptor design.

Authors : Ribeiro-Filho, Helder V.¹ (AUTHOR) ; Jara, Gabriel E.¹ (AUTHOR); Guerra, João V. S.^1,2 (AUTHOR)

Source: PLoS Computational Biology. 9/30/2024, Vol. 20 Issue 9, p1-39. 39p.

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Academic Journal

Improving deep models of protein-coding potential with a Fourier-transform architecture and machine translation task.

Authors : Valencia, Joseph D.¹ (AUTHOR); Hendrix, David A.^1,2 (AUTHOR)

Source: PLoS Computational Biology. 10/12/2023, Vol. 19 Issue 10, p1-30. 30p. 1 Color Photograph, 2 Diagrams, 1 Chart, 4 Graphs.

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Academic Journal

Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers.

Authors : Zhang, Junpeng¹ (AUTHOR) ; Liu, Lin² (AUTHOR); Wei, Xuemei¹ (AUTHOR)

Source: PLoS Computational Biology. 10/9/2023, Vol. 19 Issue 10, p1-28. 28p. 1 Illustration, 1 Diagram, 6 Graphs.

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Academic Journal

Multitask learning of a biophysically-detailed neuron model.

Authors : Verhellen, Jonas¹ (AUTHOR) ; Beshkov, Kosio¹ (AUTHOR) ; Amundsen, Sebastian¹ (AUTHOR)

Source: PLoS Computational Biology. 7/31/2024, Vol. 20 Issue 7, p1-17. 17p.

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Academic Journal

Effective mechanical potential of cell–Cell interaction explains three-dimensional morphologies during early embryogenesis.

Authors : Koyama, Hiroshi^1,2 (AUTHOR) ; Okumura, Hisashi^2,3,4 (AUTHOR); Ito, Atsushi M.^2,5 (AUTHOR)

Source: PLoS Computational Biology. 8/7/2023, Vol. 19 Issue 8, p1-27. 27p. 1 Diagram, 7 Graphs.

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Academic Journal

kCSD-python, reliable current source density estimation with quality control.

Authors : Chintaluri, Chaitanya¹ (AUTHOR); Bejtka, Marta¹ (AUTHOR); Średniawa, Władysław¹ (AUTHOR)

Source: PLoS Computational Biology. 3/14/2024, Vol. 20 Issue 3, p1-23. 23p.

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Academic Journal

Attractor neural networks with double well synapses.

Authors : Feng, Yu¹ (AUTHOR); Brunel, Nicolas^1,2 (AUTHOR)

Source: PLoS Computational Biology. 2/7/2024, Vol. 20 Issue 2, p1-25. 25p.

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نتائج البحث

فلترة النتائج

Uncovering population contributions to the extracellular potential in the mouse visual system using Laminar Population Analysis.

Specificity and tunability of efflux pumps: A new role for the proton gradient?

A Structural Model of Truncated Gaussia princeps Luciferase Elucidating the Crucial Catalytic Function of No.76 Arginine towards Coelenterazine Oxidation.

Exploring the potential of structure-based deep learning approaches for T cell receptor design.

Improving deep models of protein-coding potential with a Fourier-transform architecture and machine translation task.

Pan-cancer characterization of ncRNA synergistic competition uncovers potential carcinogenic biomarkers.

Multitask learning of a biophysically-detailed neuron model.

Effective mechanical potential of cell–Cell interaction explains three-dimensional morphologies during early embryogenesis.

kCSD-python, reliable current source density estimation with quality control.

Attractor neural networks with double well synapses.

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