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Ashique Rafique

Publications and source records attributed to Ashique Rafique.

3 recordsLinked to original sources

Monoclonal antibody classification based on epitope-binding using differential antigen disruption.

Currently, classifying a population of specific antigen-reactive monoclonal antibodies (mAbs) according to their epitope-binding properties has been limited to competition assays. Such assays are time consuming, labor intensive and restricted to the number of mAbs in the experiment. To overcome this problem, a differential antigen disruption-based antibody profiling procedure was developed. This procedure rapidly classifies specific antigen-reactive mAbs into epitope-related groups by measuring the binding signal of the antibodies to a set of structurally disrupted antigens and then clustering the antibodies according to the similarity of their binding profiles. The clustering results generated by differential antigen disruption showed a significant concordance with those generated by competition experiments. Therefore, differential antigen disruption method opens an opportunity to assess the entire population of antigen-reactive mAbs according to their epitope-binding properties. In doing so, a set of representative antibodies can be drawn to describe the epitope complexity for systematically exploring their functions.

Animals↗

Comparative analyses of a small molecule/enzyme interaction by multiple users of Biacore technology.

To gauge the experimental variability associated with Biacore analysis, 36 different investigators analyzed a small molecule/enzyme interaction under similar conditions. Acetazolamide (222 g/mol) binding to carbonic anhydrase II (CAII; 30000 Da) was chosen as a model system. Both reagents were stable and their interaction posed a challenge to measure because of the low molecular weight of the analyte and the fast association rate constant. Each investigator created three different density surfaces of CAII and analyzed an identical dilution series of acetazolamide (ranging from 4.1 to 1000 nM). The greatest variability in the results was observed during the enzyme immobilization step since each investigator provided their own surface activating reagents. Variability in the quality of the acetazolamide binding responses was likely a product of how well the investigators' instruments had been maintained. To determine the reaction kinetics, the responses from the different density surfaces were fit globally to a 1:1 interaction model that included a term for mass transport. The averaged association and dissociation rate constants were 3.1+/-1.6 x 10(6)M(-1)s(-1) and 6.7+/-2.5 x 10(-2)s(-1), respectively, which corresponded to an average equilibrium dissociation constant (K(D) of 2.6+/-1.4 x 10(-8)M. The results provide a benchmark of variability in interpreting binding constants from the biosensor and highlight keys areas that should be considered when analyzing small molecule interactions.

Acetazolamide↗

Angiopoietins have distinct modular domains essential for receptor binding, dimerization and superclustering.

Angiopoietins are a recently discovered family of angiogenic factors that interact with the endothelial receptor tyrosine kinase Tie2, either as agonists (angiopoietin-1) or as context-dependent agonists/antagonists (angiopoietin-2). Here we show that angiopoietin-1 has a modular structure unlike any previously characterized growth factor. This modular structure consists of a receptor-binding domain, a dimerization motif and a superclustering motif that forms variable-sized multimers. Genetic engineering of precise multimers of the receptor-binding domain of angiopoietin-1, using surrogate multimerization motifs, reveals that tetramers are the minimal size required for activating endothelial Tie2 receptors. In contrast, engineered dimers can antagonize endothelial Tie2 receptors. Surprisingly, angiopoietin-2 has a modular structure and multimerization state similar to that of angiopoietin-1, and its antagonist activity seems to be a subtle property encoded in its receptor-binding domain.

Amino Acid Motifs↗