Literature DB >> 9408831

Influence of mass transfer and surface ligand heterogeneity on quantitative BIAcore binding data. Analysis of the interaction of NC10 Fab with an anti-idiotype Fab'.

A A Kortt1, L C Gruen, G W Oddie.   

Abstract

The interaction of monovalent Fab fragments of NC10, an antiviral neuraminidase antibody, and the anti-idiotype antibody 3-2G12 has been used as a model system to demonstrate experimentally the influence of non-ideal binding effects on BIAcore binding data. Because the association rate constant for these two molecules was found to be relatively high (about 5 x 10(5) M-1 S-1), mass transfer was recognised as a potential source of error in the analysis of the interaction kinetics. By manipulation of the flow rate and the surface density of the immobilised ligand, however, the magnitude to this error was minimised. In addition, the application of site-specific immobilisation procedures was found to improve considerably the correlation of experimental binding data to the ideal 1:1 kinetic model such that the discrepancy between experimental and fitted curves was within the noise range of the instrument. Experiments performed to measure the equilibrium constant (KD) in solution resulted in a value of similar magnitude to those obtained from the ratio of the kinetic rate constants, even those measured with a heterogeneous ligand or with a significant mass transfer component. For this system, the experimental complexities introduced by covalent immobilisation did not lead to large errors in the KD values obtained using the BIAcore.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9408831     DOI: 10.1002/(SICI)1099-1352(199705/06)10:3<148::AID-JMR360>3.0.CO;2-F

Source DB:  PubMed          Journal:  J Mol Recognit        ISSN: 0952-3499            Impact factor:   2.137


  6 in total

1.  A Combination of Structural and Empirical Analyses Delineates the Key Contacts Mediating Stability and Affinity Increases in an Optimized Biotherapeutic Single-chain Fv (scFv).

Authors:  Chao Tu; Virginie Terraube; Amy Sze Pui Tam; Wayne Stochaj; Brian J Fennell; Laura Lin; Mark Stahl; Edward R LaVallie; Will Somers; William J J Finlay; Lydia Mosyak; Joel Bard; Orla Cunningham
Journal:  J Biol Chem       Date:  2015-10-29       Impact factor: 5.157

2.  Contribution of magnesium in binding of factor IXa to the phospholipid surface: implications for vitamin K-dependent coagulation proteins.

Authors:  A S Messer; W H Velander; S P Bajaj
Journal:  J Thromb Haemost       Date:  2009-10-08       Impact factor: 5.824

3.  High molecular weight blood group A trisaccharide-polyacrylamide glycoconjugates as synthetic blood group A antigens for anti-A antibody removal devices.

Authors:  Azadeh Alikhani; Elena Y Korchagina; Alexander A Chinarev; Nicolai V Bovin; William J Federspiel
Journal:  J Biomed Mater Res B Appl Biomater       Date:  2009-11       Impact factor: 3.368

4.  CDR-restricted engineering of native human scFvs creates highly stable and soluble bifunctional antibodies for subcutaneous delivery.

Authors:  Brian J Fennell; Barry McDonnell; Amy Sze Pui Tam; Lijun Chang; John Steven; Ian D Broadbent; Huilan Gao; Elizabeth Kieras; Jennifer Alley; Deborah Luxenberg; Jason Edmonds; Lori J Fitz; Wenyan Miao; Matthew J Whitters; Quintus G Medley; Yongjing J Guo; Alfredo Darmanin-Sheehan; Bénédicte Autin; Deirdre Ní Shúilleabháin; Emma Cummins; Amy King; Mark R H Krebs; Christopher Grace; Timothy P Hickling; Angela Boisvert; Xiaotian Zhong; Matthew McKenna; Christopher Francis; Stephane Olland; Laird Bloom; Janet Paulsen; Will Somers; Allan Jensen; Laura Lin; William J J Finlay; Orla Cunningham
Journal:  MAbs       Date:  2013-08-21       Impact factor: 5.857

5.  Dissociation Dynamics of XPC-RAD23B from Damaged DNA Is a Determining Factor of NER Efficiency.

Authors:  Benjamin Hilton; Sathyaraj Gopal; Lifang Xu; Sharmistha Mazumder; Phillip R Musich; Bongsup P Cho; Yue Zou
Journal:  PLoS One       Date:  2016-06-21       Impact factor: 3.240

6.  Computational modeling of microfluidic data provides high-throughput affinity estimates for monoclonal antibodies.

Authors:  Sonia Budroni; Francesca Buricchi; Andrea Cavallone; Gianfranco Volpini; Alessandra Mariani; Paola Lo Surdo; Christoph J Blohmke; Giuseppe Del Giudice; Duccio Medini; Oretta Finco
Journal:  Comput Struct Biotechnol J       Date:  2021-06-17       Impact factor: 7.271

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.