PhosNetVis: a web-based tool for fast kinase-substrate enrichment analysis and interactive 2D/3D network visualizations of phosphoproteomics data
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866912160935837696 |
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| author | Rawal, Osho Turhan, Berk Peradejordi, Irene Font Chandrasekar, Shreya Kalayci, Selim Gnjatic, Sacha Johnson, Jeffrey Bouhaddou, Mehdi Gümüş, Zeynep H. |
| author_facet | Rawal, Osho Turhan, Berk Peradejordi, Irene Font Chandrasekar, Shreya Kalayci, Selim Gnjatic, Sacha Johnson, Jeffrey Bouhaddou, Mehdi Gümüş, Zeynep H. |
| contents | Protein phosphorylation involves the reversible modification of a protein (substrate) residue by another protein (kinase). Liquid chromatography-mass spectrometry studies are rapidly generating massive protein phosphorylation datasets across multiple conditions. Researchers then must infer kinases responsible for changes in phosphosites of each substrate. However, tools that infer kinase-substrate interactions (KSIs) are not optimized to interactively explore the resulting large and complex networks, significant phosphosites, and states. There is thus an unmet need for a tool that facilitates user-friendly analysis, interactive exploration, visualization, and communication of phosphoproteomics datasets. We present PhosNetVis, a web-based tool for researchers of all computational skill levels to easily infer, generate and interactively explore KSI networks in 2D or 3D by streamlining phosphoproteomics data analysis steps within a single tool. PhostNetVis lowers barriers for researchers in rapidly generating high-quality visualizations to gain biological insights from their phosphoproteomics datasets. It is available at: https://gumuslab.github.io/PhosNetVis/ |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_05016 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PhosNetVis: a web-based tool for fast kinase-substrate enrichment analysis and interactive 2D/3D network visualizations of phosphoproteomics data Rawal, Osho Turhan, Berk Peradejordi, Irene Font Chandrasekar, Shreya Kalayci, Selim Gnjatic, Sacha Johnson, Jeffrey Bouhaddou, Mehdi Gümüş, Zeynep H. Molecular Networks Protein phosphorylation involves the reversible modification of a protein (substrate) residue by another protein (kinase). Liquid chromatography-mass spectrometry studies are rapidly generating massive protein phosphorylation datasets across multiple conditions. Researchers then must infer kinases responsible for changes in phosphosites of each substrate. However, tools that infer kinase-substrate interactions (KSIs) are not optimized to interactively explore the resulting large and complex networks, significant phosphosites, and states. There is thus an unmet need for a tool that facilitates user-friendly analysis, interactive exploration, visualization, and communication of phosphoproteomics datasets. We present PhosNetVis, a web-based tool for researchers of all computational skill levels to easily infer, generate and interactively explore KSI networks in 2D or 3D by streamlining phosphoproteomics data analysis steps within a single tool. PhostNetVis lowers barriers for researchers in rapidly generating high-quality visualizations to gain biological insights from their phosphoproteomics datasets. It is available at: https://gumuslab.github.io/PhosNetVis/ |
| title | PhosNetVis: a web-based tool for fast kinase-substrate enrichment analysis and interactive 2D/3D network visualizations of phosphoproteomics data |
| topic | Molecular Networks |
| url | https://arxiv.org/abs/2402.05016 |