ROWVA: A Structure-Based Metric for Predicting the Pathogenicity of Protein Variants Using Alphafold2.
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| Title: | ROWVA: A Structure-Based Metric for Predicting the Pathogenicity of Protein Variants Using Alphafold2. |
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| Authors: | Furutani T; Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan., Okusha Y; Department of Pharmacology, Graduate School of Medicine, Dentistry & Pharmaceutical Sciences, Okayama University, Okayama, Japan., Nagami H; Department of Pharmacology, Graduate School of Medicine, Dentistry & Pharmaceutical Sciences, Okayama University, Okayama, Japan., Hanafusa H; Department of Pharmacology, Graduate School of Medicine, Dentistry & Pharmaceutical Sciences, Okayama University, Okayama, Japan., Tomida S; Center for Comprehensive Genomic Medicine, Okayama University Hospital, Okayama, Japan., Sawada R; Department of Pharmacology, Graduate School of Medicine, Dentistry & Pharmaceutical Sciences, Okayama University, Okayama, Japan., Hosono Y; Department of Pharmacology, Graduate School of Medicine, Dentistry & Pharmaceutical Sciences, Okayama University, Okayama, Japan., Nakatochi M; Public Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan. |
| Source: | Cancer science [Cancer Sci] 2026 Jun; Vol. 117 (6), pp. 1736-1747. Date of Electronic Publication: 2026 Apr 07. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley Publishing on behalf of the Japanese Cancer Association Country of Publication: England NLM ID: 101168776 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1349-7006 (Electronic) Linking ISSN: 13479032 NLM ISO Abbreviation: Cancer Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1349-7006 |
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| DOI: | 10.1111/cas.70380 |
