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Advances and Applications in Bioinformatics and Chemistry Volume 3, 2010 - Issue

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Original Research

Insights into the classification of small GTPases

Dominik Heider1 Department of Bioinformatics, Center for Medical Biotechnology, University of Duisburg- Essen, Essen, GermanyCorrespondence[email protected]

Sascha Hauke3 Institute of Computer Science, University of Münster, Münster, Germany

Martin Pyka4 Interdisciplinary Center for Clinical Research, University Hospital of Münster, Münster, Germany

Daniel Kessler2 Institute of Cell Biology (Cancer Research), University of Duisburg- Essen, Essen, Germany

Pages 15-24 | Published online: 21 May 2010

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Nada Tawfeeq, Jassy Mary S. Lazarte, Yonghao Jin, Matthew D. Gregory & Nazarius S. Lamango. (2023) Polyisoprenylated cysteinyl amide inhibitors deplete singly polyisoprenylated monomeric G-proteins in lung and breast cancer cell lines. Oncotarget 14:1, pages 243-257.
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Jia Chen, Jie Zhang & Zhiwei Zhang. (2021) Upregulation of GTPBP4 Promotes the Proliferation of Liver Cancer Cells. Journal of Oncology 2021, pages 1-10.
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Paulo José Basso, Helioswilton Sales-Campos, Viviani Nardini, Murillo Duarte-Silva, Vanessa Beatriz Freitas Alves, Giuliano Bonfá, Cassiano Costa Rodrigues, Bruno Ghirotto, Javier Emílio Lazo Chica, Auro Nomizo & Cristina Ribeiro de Barros Cardoso. (2021) Peroxisome Proliferator-Activated Receptor Alpha Mediates the Beneficial Effects of Atorvastatin in Experimental Colitis. Frontiers in Immunology 12.
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Paulo Matos. (2021) Small GTPases in Cancer: Still Signaling the Way. Cancers 13:7, pages 1500.
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Néstor Prieto-Dominguez, Christopher Parnell & Yong Teng. (2019) Drugging the Small GTPase Pathways in Cancer Treatment: Promises and Challenges. Cells 8:3, pages 255.
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Dominik Heider, Jan Nikolaj Dybowski, Christoph Wilms & Daniel Hoffmann. (2014) A simple structure-based model for the prediction of HIV-1 co-receptor tropism. BioData Mining 7:1.
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Dominik Grotegerd, Ronny Redlich, Jorge R. C. Almeida, Mona Riemenschneider, Harald Kugel, Volker Arolt & Udo Dannlowski. (2014) MANIA—A Pattern Classification Toolbox for Neuroimaging Data. Neuroinformatics 12:3, pages 471-486.
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Dominik Heider, Christoph Bartenhagen, J. Nikolaj Dybowski, Sascha Hauke, Martin Pyka & Daniel Hoffmann. 2014. Data Analysis, Machine Learning and Knowledge Discovery. Data Analysis, Machine Learning and Knowledge Discovery 295 302 .

Dominik Heider, Jens Verheyen & Daniel Hoffmann. (2011) Machine learning on normalized protein sequences. BMC Research Notes 4:1.
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Dominik Heider & Daniel Hoffmann. (2011) Interpol: An R package for preprocessing of protein sequences. BioData Mining 4:1.
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