Characterizing and predicting ccRCC-causing missense mutations in Von Hippel-Lindau disease.
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| Title: | Characterizing and predicting ccRCC-causing missense mutations in Von Hippel-Lindau disease. |
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| Authors: | Serghini A; School of Chemistry and Molecular Biosciences, Chemistry Building 68, Cooper Road, The University of Queensland, St Lucia, QLD 4072, Queensland, Australia., Portelli S; School of Chemistry and Molecular Biosciences, Chemistry Building 68, Cooper Road, The University of Queensland, St Lucia, QLD 4072, Queensland, Australia., Troadec G; School of Computing and Information Systems, University of Melbourne, Melbourne, VIC 3010, Australia., Song C; School of Computing and Information Systems, University of Melbourne, Melbourne, VIC 3010, Australia., Pan Q; School of Chemistry and Molecular Biosciences, Chemistry Building 68, Cooper Road, The University of Queensland, St Lucia, QLD 4072, Queensland, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia., Pires DEV; School of Computing and Information Systems, University of Melbourne, Melbourne, VIC 3010, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia., Ascher DB; School of Chemistry and Molecular Biosciences, Chemistry Building 68, Cooper Road, The University of Queensland, St Lucia, QLD 4072, Queensland, Australia.; Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia. |
| Source: | Human molecular genetics [Hum Mol Genet] 2024 Jan 20; Vol. 33 (3), pp. 224-232. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: IRL Press at Oxford University Press Country of Publication: England NLM ID: 9208958 Publication Model: Print Cited Medium: Internet ISSN: 1460-2083 (Electronic) Linking ISSN: 09646906 NLM ISO Abbreviation: Hum Mol Genet Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1460-2083 |
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| DOI: | 10.1093/hmg/ddad181 |
