Publications by authors named "Reina Tanibata"
Article Synopsis
- * The study created machine learning models to predict these effects for amino acids and monoclonal antibodies using basic molecular descriptors, with validation through real-world data and scientific literature.
- * These models offer a new in silico approach that simplifies and speeds up the biopharmaceutical process, enhancing understanding of molecular interactions without relying solely on traditional experimental methods.
In this study, we developed and demonstrated a latex turbidimetric immunoassay (LTIA) using latex beads immobilized with rabbit monoclonal single-chain variable fragments (scFvs) selected from an scFv-displayed phage library. Sixty-five different anti-c-reactive protein (anti-CRP) scFv clones were identified after biopanning selection using antigen-coupled multi-lamellar vesicles. By ranking antigen-binding clones using the apparent dissociation rate constant (k) as a sorting index, scFv clones with a dissociation constant (K) ranging from 4.
View Article and Find Full Text PDFIn this study, immobilization of single-chain Fv (scFv) antibodies on the surfaces of polystyrene (PS) latex beads via material-binding peptides was investigated for sensitive immuno-turbidimetric assay of C-reactive protein (CRP). Anti-CRP scFvs fused with polystyrene-binding peptide (PS-tag) and poly(methylmethacrylate)-binding peptide (PMMA-tag) were over-expressed in Escherichia coli cells and recovered in the active form following refolding. The beads with PMMA-tag-fused scFv (scFv-PM) were successfully suspended with sufficient dispersion at pH 8.
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