Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV
Most Cited Paper
in Monoclonal and Polyclonal Antibodies Research
18 Months Post-Publication
Class of 2026
“Assessing antibody and nanobody nativeness for hit selection and humanization with AbNatiV”
A research intelligence initiative by Pepkio
pri.pepkio.com/top-papers/monoclonal-and-polyclonal-antibodies-research/2026/
Topics
AbNatiV · nanobody nativeness scoring · deep learning antibody assessment · nanobody · nanobody · antibody humanization pipeline · Fv sequence prediction · immunogenicity likelihood prediction · residue-level nativeness profile · hit selection for therapeutics · Directed evolution · synthetic antibody libraries · computational antibody design · structural and residue-frequency humanization · binding and stability retention · monoclonal antibody · natural antibodies · webserver tool for antibody engineering
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Monoclonal and Polyclonal Antibodies Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/monoclonal-and-polyclonal-antibodies-research/2026. Accessed 2026-07-15. Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459