Dataset Information

High-throughput measurement, correlation analysis, and machine-learning predictions for pH and thermal stabilities of Pfizer-generated antibodies.

ABSTRACT: Generating stable antibodies is an important goal in the development of antibody-based drugs. Often, thermal stability is assumed predictive of overall stability. To test this, we used different internally created antibodies and first studied changes in antibody structure as a function of pH, using the dye ANS. Comparison of the pH(50) values, the midpoint of the transition from the high-pH to the low-pH conformation, allowed us for the first time to rank antibodies based on their pH stability. Next, thermal stability was probed by heating the protein in the presence of the dye Sypro Orange. A new data analysis method allowed extraction of all three antibody unfolding transitions and showed close correspondence to values obtained by differential scanning calorimetry. T(1%) , the temperature at which 1% of the protein is unfolded, was also determined. Importantly, no correlations could be found between thermal stability and pH(50) , suggesting that to accurately quantify antibody stability, different measures of protein stability are necessary. The experimental data were further analyzed using a machine-learning approach with a trained model that allowed the prediction of biophysical stability using primary sequence alone. The pH stability predictions proved most successful and were accurate to within pH ±0.2.

SUBMITTER: King AC

PROVIDER: S-EPMC3190149 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature

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High-throughput measurement, correlation analysis, and machine-learning predictions for pH and thermal stabilities of Pfizer-generated antibodies.

King Amy C AC Woods Matthew M Liu Wei W Lu Zhijian Z Gill Davinder D Krebs Mark R H MR

Protein science : a publication of the Protein Society 20110713 9

Generating stable antibodies is an important goal in the development of antibody-based drugs. Often, thermal stability is assumed predictive of overall stability. To test this, we used different internally created antibodies and first studied changes in antibody structure as a function of pH, using the dye ANS. Comparison of the pH(50) values, the midpoint of the transition from the high-pH to the low-pH conformation, allowed us for the first time to rank antibodies based on their pH stability. ...[more]

PMID: 21710487

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Project description:We have previously studied the unfolding equilibrium of bacterioopsin in a single phase solvent, using Förster mechanism fluorescence resonance energy transfer (FRET) as a probe, from tryptophan donors to a dansyl acceptor. We observed an apparent unfolding transition in bacterioopsin perturbed by increasing ethanol concentrations [Nannepaga et al. (2004) Biochemistry 43, 50-59]. We have further investigated this transition and find that the unfolding is pH-dependent. We have now measured the apparent pK of acid-induced unfolding of bacterioopsin in 90% ethanol. When the acceptor is on helix B (Lys 41), the apparent pK for unfolding is 4.75; on the EF connecting loop (Cys 163), 5.15; and on helix G (Cys 222), 5.75. Five-helix proteolytic fragments are less stable. The apparent unfolding pKs are 5.46 for residues 72-248 (Cys 163) and 7.36 for residues 1-166 (Lys 41). When interpreted in terms of a simple equilibrium model for unfolding, the apparent pKs give relative free energies of unfolding in the range of -0.54 to -3.5 kcal/mol. The results suggest that the C-terminal helix of bacterioopsin is less stably folded than the N-terminal helices. We analyzed the pairwise helix-helix interaction surfaces of bacteriorhodopsin and three other seven-transmembrane-helix proteins on the basis of crystal structures. The results show that the interaction surfaces are smoother and the helix axis separations are closer in the amino-terminal two-thirds of the proteins compared with the carboxyl-terminal one-third. However, the F helix is important in stabilizing the folded structure, as shown by the instability of the 1-166 fragment. Considering the high-resolution crystal structure of bacteriorhodopsin, there are no obvious helix-helix interactions involving protein side chains which would be destabilized by protonation at the estimated pH of the unfolding transitions. However, a number of helix-bridging water molecules could become protonated, thereby weakening the helix-helix interactions.

Dataset Information

High-throughput measurement, correlation analysis, and machine-learning predictions for pH and thermal stabilities of Pfizer-generated antibodies.

Publications

High-throughput measurement, correlation analysis, and machine-learning predictions for pH and thermal stabilities of Pfizer-generated antibodies.

Similar Datasets

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