VEFill: accurate and generalizable deep mutational scanning score imputation across protein domains.
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| Title: | VEFill: accurate and generalizable deep mutational scanning score imputation across protein domains. |
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| Authors: | Polunina PV; Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany., Maier W; Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany., Rubin AF; Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia. alan.rubin@unimelb.edu.au.; Department of Medical Biology, The University of Melbourne, Melbourne, VIC, Australia. alan.rubin@unimelb.edu.au.; Collaborative Centre for Genomic Cancer Medicine, The University of Melbourne, Melbourne, VIC, Australia. alan.rubin@unimelb.edu.au. |
| Source: | Molecular systems biology [Mol Syst Biol] 2026 Jun; Vol. 22 (6), pp. 979-1002. Date of Electronic Publication: 2026 Mar 20. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: EMBO Press Country of Publication: Germany NLM ID: 101235389 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1744-4292 (Electronic) Linking ISSN: 17444292 NLM ISO Abbreviation: Mol Syst Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1744-4292 |
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| DOI: | 10.1038/s44320-026-00203-y |
