Furthermore, to fairly represent the diversity within a given supertype, an equal number of binding data were sampled from each allele within the supertype.
Five out of the seven selected amino acids for p260 and p263, respectively, displayed binding to Aq and the SAR analysis of the Aq glycopeptide binding data revealed structural elements within the modified amino acids that were important for binding.
Cannabinoid receptor binding data of the series allowed identifying steric constraints within the CB2 binding pocket using a study of Van der Waals' volume maps.
The binding data were subjected to nonlinear regression analysis using a one-site equilibrium binding equation with Prism software.
Furthermore, activated CD4+ T cells were able to internalize anti-CD134 mAbs (and anti-CD25 mAbs) within 2 hours of binding (data not shown).
It proved impossible to obtain quantitative binding data from any of the dihydrogen phosphate titration experiments, indicative of a complex equilibrium binding process (chemical shifts observed were too small, association constants <100 m−1, to be sensibly fitted within error).
Likewise, the fluorescence binding data supported that the ligand binding site of Plin2 is not dictated by a linear structural motif within the primary sequence.
These values can then be used directly in PBPK models after conversion to relevant units or can be used together with extrinsic factors, e.g., blood-binding data and liver blood flow within well-defined liver models, e.g., well-stirred and parallel tube models to predict hepatic clearance.
The DNA-binding data were then used to identify putative binding sites within the human genome to assess the impact of the differences in DNA-binding specificity.
To explore the functional consequences of different binding patterns within a local region, future work could incorporate RNA-Seq data into consideration.
