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Computational modeling of microfluidic data provides high-t..:
Budroni, Sonia
;
Buricchi, Francesca
;
Cavallone, Andrea
...
Computational and Structural Biotechnology Journal. 19 (2021) - p. 3664-3672 , 2021
Link:
https://doi.org/10.1016/j.csbj.2021.06.024
RT Journal T1 <Title>Computational modeling of microfluidic data provides high-throughput affinity estimates for monoclonal antibodies</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.csbj.2021.06.024&Exemplar=1&LAN=DE A1 Budroni, Sonia A1 Buricchi, Francesca A1 Cavallone, Andrea A1 Volpini, Gianfranco A1 Mariani, Alessandra A1 Lo Surdo, Paola A1 Blohmke, Christoph J. A1 Del Giudice, Giuseppe A1 Medini, Duccio A1 Finco, Oretta PB Elsevier BV YR 2021 SN 2001-0370 JF Computational and Structural Biotechnology Journal VO 19 SP 3664 OP 3672 LK http://dx.doi.org/https://doi.org/10.1016/j.csbj.2021.06.024 DO https://doi.org/10.1016/j.csbj.2021.06.024 SF ELIB - SuUB Bremen
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