Prediction of methionine oxidation risk in monoclonal antibodies using a machine learning method.

Monoclonal antibodies (mAbs) have become a major class of protein therapeutics that target a spectrum of diseases ranging from cancers to infectious diseases. Similar to any protein molecule, mAbs are susceptible to chemical modifications during the manufacturing process, long-term storage, and in vivo circulation that can impair their potency. One such modification is the oxidation of methionine residues. Chemical modifications that occur in the complementarity-determining regions (CDRs) of mAbs can lead to the abrogation of antigen binding and reduce the drug's potency and efficacy. Thus, it is highly desirable to identify and eliminate any chemically unstable residues in the CDRs during the therapeutic antibody discovery process. To provide increased throughput over experimental methods, we extracted features from the mAbs' sequences, structures, and dynamics, used random forests to identify important features and develop a quantitative and highly predictive in silico methionine oxidation model.

High-throughput screening of antibody variants for chemical stability: identification of deamidation-resistant mutants.

Developability assessment of therapeutic antibody candidates assists drug discovery by enabling early identification of undesirable instabilities. Rapid chemical stability screening of antibody variants can accelerate the identification of potential solutions. We describe here the development of a high-throughput assay to characterize asparagine deamidation. We applied the assay to identify a mutation that unexpectedly stabilizes a critical asparagine. Ninety antibody variants were incubated under thermal stress in order to induce deamidation and screened for both affinity and total binding capacity. Surprisingly, a mutation five residues downstream from the unstable asparagine greatly reduced deamidation. Detailed assessment by LC-MS analysis confirmed the predicted improvement. This work describes both a high-throughput method for antibody stability screening during the early stages of antibody discovery and highlights the value of broad searches of antibody sequence space.

The Use of a 2,2'-Azobis (2-Amidinopropane) Dihydrochloride Stress Model as an Indicator of Oxidation Susceptibility for Monoclonal Antibodies.

Protein oxidation is a major pathway for degradation of biologic drug products. Past literature reports have suggested that 2,2-azobis (2-amidinopropane) dihydrochloride (AAPH), a free radical generator that produces alkoxyl and alkyl peroxyl radicals, is a useful model reagent stress for assessing the oxidative susceptibility of proteins. Here, we expand the applications of the AAPH model by pairing it with a rapid peptide map method to enable site-specific studies of oxidative susceptibility of monoclonal antibodies and their derivatives for comparison between formats, the evaluation of formulation components, and comparisons across the stress models. Comparing the free radical-induced oxidation model by AAPH with a light-induced oxidation model suggests that light-sensitive residues represent a subset of AAPH-sensitive residues and therefore AAPH can be used as a preliminary screen to highlight molecules that need further assessment by light models. In sum, these studies demonstrate that AAPH stress can be used in multiple ways to evaluate labile residues and oxidation sensitivity as it pertains to developability and manufacturability.

Automated Affinity Capture and On-Tip Digestion to Accurately Quantitate in Vivo Deamidation of Therapeutic Antibodies.

Deamidation of therapeutic antibodies may result in decreased drug activity and undesirable changes in pharmacokinetics and immunogenicity. Therefore, it is necessary to monitor the deamidation levels [during storage] and after in vivo administration. Because of the complexity of in vivo samples, immuno-affinity capture is widely used for specific enrichment of the target antibody prior to LC-MS. However, the conventional use of bead-based methods requires large sample volumes and extensive processing steps. Furthermore, with automation difficulties and extended sample preparation time, bead-based approaches may increase artificial deamidation. To overcome these challenges, we developed an automated platform to perform tip-based affinity capture of antibodies from complex matrixes with rapid digestion and peptide elution into 96-well microtiter plates followed by LC-MS analysis. Detailed analyses showed that the new method presents high repeatability and reproducibility with both intra and inter assay CVs < 8%. Using the automated platform, we successfully quantified the levels of deamidation of a humanized monoclonal antibody in cynomolgus monkeys over a time period of 12 weeks after administration. Moreover, we found that deamidation kinetics between in vivo samples and samples stressed in vitro at neutral pH were consistent, suggesting that the in vitro stress test may be used as a method to predict the liability to deamidation of therapeutic antibodies in vivo.

Proteomics analyses of the opportunistic pathogen Burkholderia vietnamiensis using protein fractionations and mass spectrometry.

The main objectives of this work were to obtain a more extensive coverage of the Burkholderia vietnamiensis proteome than previously reported and to identify virulence factors using tandem mass spectrometry. The proteome of B. vietnamiensis was precipitated into four fractions to as extracellular, intracellular, cell surface and cell wall proteins. Two different approaches were used to analyze the proteins. The first was a gel-based method where 1D SDS-PAGE was used for separation of the proteins prior to reverse phase liquid chromatography tandem mass spectrometry (LC-MS/MS). The second method used MudPIT analysis (Multi dimensional Protein Identification Technique), where proteins are digested and separated using cation exchange and reversed phase separations before the MS/MS analysis (LC/LC-MS/MS). Overall, gel-based LC-MS/MS analysis resulted in more protein identifications than the MudPIT analysis. Combination of the results lead to identification of more than 1200 proteins, approximately 16% of the proteins coded from the annotated genome of Burkholderia species. Several virulence factors were detected including flagellin, porin, peroxiredoxin and zinc proteases.

IRMPD spectroscopy shows that AGG forms an oxazolone b2+ ion.

Infrared multiple photon dissociation (IRMPD) spectroscopy combined with theoretical vibrational spectra provides a powerful tool for probing structure. This technique has been used to probe the structure of protonated cyclic AG and the b(2)(+) ion from AGG. The experimental spectrum for protonated cyclo AG compares very well with the theoretical spectra for a diketopiperazine. The spectrum corresponds best to a combination of two structures protonation at the alanine and glycine amide oxygens. The experimental spectrum for the b(2)(+) ion from protonated AGG matches best to the theoretical spectrum for an oxazolone structure protonated on the ring nitrogen. In particular, the carbonyl stretching band at 1970 cm(-1) is blue-shifted by approximately 200 cm(-1) compared to the experimental spectrum for protonated cAG, indicating that these two structures are distinct. This is the first time that an IRPD spectrum of a b(2)(+) ion has been obtained and, for this ion, the oxazolone structure proposed based on prior calculations and experiments is confirmed by the spectroscopic method.

Biomolecule analysis by ion mobility spectrometry.

Although nonnative protein conformations, including intermediates along the folding pathway and kinetically trapped misfolded species that disfavor the native state, are rarely isolated in the solution phase, they are often stable in the gas phase, where macromolecular ions from electrospray ionization can exist in varying charge states. Differences in the structures of nonnative conformations in the gas phase are often large enough to allow different shapes and charge states to be separated because of differences in their mobilities through a gas. Moreover, gentle collisional activation can be used to induce structural transformations. These new structures often have different mobilities. Thus, there is the possibility of developing a multidimensional separation that takes advantage of structural differences of multiple stable states. This review discusses how nonnative states differ in the gas phase compared with solution and presents an overview of early attempts to utilize and manipulate structures in order to develop ion mobility spectrometry as a rapid and sensitive technique for separating complex mixtures of biomolecules prior to mass spectrometry.

Exploring crown ethers as shift reagents for ion mobility spectrometry.

A series of crown ethers, 12-crown-4, 15-crown-5, 18-crown-6, and dibenzo-30-crown-10, are examined as a possible means of shifting the mobilities of peptide ions. In this approach, a crown ether is added to a solution containing a mixture of peptides and is electrosprayed into the gas phase in order to create distributions of peptide-crown complexes. The ion complexes have different mobilities than the naked peptide ions, and the crown ether molecules appear to interact specifically with basic sites in the peptides thus providing some sequence selectivity. After the peptide-crown complexes are separated by ion mobility spectrometry, the ions can be collisionally activated to dissociate the complex (forming the naked peptide ions) prior to m/z analysis. The overall effect is that complex formation shifts peptide ions to different regions of the mobility spectrum, extending the ability to resolve components. The approach is illustrated by examining isobaric dipeptides as well as a combinatorial library containing 27 tripeptides. Cross sections for the series of crown ether ions and complexes that are observed are reported.

Developing liquid chromatography ion mobility mass spectometry techniques.

When a packet of ions in a buffer gas is exposed to a weak electric field, the ions will separate according to differences in their mobilities through the gas. This separation forms the basis of the analytical method known as ion mobility spectroscopy and is highly efficient, in that it can be carried out in a very short time frame (micro- to milliseconds). Recently, efforts have been made to couple the approach with liquid-phase separations and mass spectrometry in order to create a high-throughput and high-coverage approach for analyzing complex mixtures. This article reviews recent work to develop this approach for proteomics analyses. The instrumentation is described briefly. Several multidimensional data sets obtained upon analyzing complex mixtures are shown in order to illustrate the approach as well as provide a view of the limitations and required future work.

Determination of sequence-specific intrinsic size parameters from cross sections for 162 tripeptides.

Ion mobility and mass spectrometry techniques have been used to measure cross sections for 162 tripeptide sequences (27 different sets of six sequence isomers). The isomers have the general forms ABC, ACB, BAC, BCA, CAB, and CBA, where A corresponds to the amino acids Asp, Glu, or Gly, B corresponds to Lys, Arg, or Leu, and C corresponds to Phe, Tyr, or Ser. From these data, we derive a set of size parameters for individual amino acids that reflect the position of the amino acid in the sequence. These sequence-specific intrinsic size parameters (SSISPs) are used to retrodict cross-section values for the 162 measured sequences and to predict cross sections for all remaining tripeptide sequences (567 different sequences) that are comprised of these residues. In several types of peptide compositions, the position of the amino acid in the sequence has a significant impact on the parameter that is derived. For example, the sequence-specific intrinsic size parameter for leucine in the third position of a peptide (SSISP(Leu3)) is approximately 10% larger than SSISP(Leu1). On average, cross sections that are derived using SSISPs provide a better representation of the experimental value than those derived from composition only intrinsic size parameters, derived as described previously (Valentine et al. J. Phys. Chem. 1999, 103, 1203). Finally, molecular modeling techniques are used to derive some insight into the origin of cross-section differences that arise from sequence variation.

Nanoflow LC/ion mobility/CID/TOF for proteomics: analysis of a human urinary proteome.

A prototype linear octopole ion trap/ion mobility/tandem mass spectrometer has been coupled with a nanoflow liquid chromatography separation approach and used to separate and characterize a complicated peptide mixture from digestion of soluble proteins extracted from human urine. In this approach, two dimensions of separation (nanoflow liquid chromatography and ion mobility) are followed by collision induced dissociation (CID) and mass spectrometry (MS) analysis. From a preliminary analysis of the most intense CID-MS features in a part of the dataset, it is possible to assign 27 peptide ions which correspond to 13 proteins. The data contain many additional CID-MS features for less intense ions. A limited discussion of these features and their potential utility in identifying complicated peptide mixtures required for proteomics study is presented.

Development of LC-IMS-CID-TOFMS techniques: analysis of a 256 component tetrapeptide combinatorial library.

Recent improvements in ion mobility/time-of-flight mass spectrometry techniques have made it possible to incorporate nano-flow liquid chromatography and collision induced dissociation techniques. This combination of approaches provides a new strategy for detailed characterization of complex systems--such as, combinatorial libraries. Our work uses this technology to provide a detailed analysis of a tetrapeptide library having the general form Xxx1-Xxx2-Xxx3-Xxx4 where Xxx1 = Glu, Phe, Val, Asn; Xxx2 = Glu, Phe, Val, Tyr; Xxx3 = Glu, Phe, Val, Thr; and Xxx4 = Glu, Phe, Val, Leu--a system that is expected to contain 256 different peptide sequences. The results corroborate the presence of many expected peptide sequences and indicate that some synthetic steps appear to have failed. Particularly interesting is the observation of a t-butyl protecting group on the tyrosine (Tyr) residue. It appears that most Tyr containing peptides that have this t-butyl group attached favor formation of [2M + 2H]2+ dimers, which can be readily distinguished from [M + H]+ monomers based on differences in their gas-phase mobilities. In this case, we demonstrate the use of the mobility differences between [2M + 2H]2+ and [M + H]+ ions as a signature for a failure of a synthetic step.

Development of high-sensitivity ion trap ion mobility spectrometry time-of-flight techniques: a high-throughput nano-LC-IMS-TOF separation of peptides arising from a Drosophila protein extract.

A linear octopole trap interface for an ion mobility time-of-flight mass spectrometer has been developed for focusing and accumulating continuous beams of ions produced by electrospray ionization. The interface improves experimental efficiencies by factors of approximately 50-200 compared with an analogous configuration that utilizes a three-dimensional Paul geometry trap (Hoaglund-Hyzer, C. S.; Lee, Y. J.; Counterman, A. E.; Clemmer, D. E. Anal. Chem. 2002, 74, 992-1006). With these improvements, it is possible to record nested drift (flight) time distributions for complex mixtures in fractions of a second. We demonstrate the approach for several well-defined peptide mixtures and an assessment of the detection limits is given. Additionally, we demonstrate the utility of the approach in the field of proteomics by an on-line, three-dimensional nano-LC-ion mobility-TOF separation of tryptic peptides from the Drosophila proteome.

Development of high-throughput liquid chromatography injected ion mobility quadrupole time-of-flight techniques for analysis of complex peptide mixtures.

The development of a multidimensional approach involving high-performance liquid chromatography (LC), ion mobility spectrometry (IMS) and tandem mass spectrometry is described for the analysis of complex peptide mixtures. In this approach, peptides are separated based on differences in their LC retention times and mobilities (as ions drift through He) prior to being introduced into a quadrupole/octopole/time-of-flight mass spectrometer. The initial LC separation and IMS dispersion of ions is used to label ions for subsequent fragmentation studies that are carried out for mixtures of ions. The approach is demonstrated by examining a mixture of peptides generated from tryptic digestion of 18 commercially available proteins. Current limitations of this initial study and potential advantages of the experimental approach are discussed.

Resolving isomeric peptide mixtures: a combined HPLC/ion mobility-TOFMS analysis of a 4000-component combinatorial library.

A reversed-phase high-performance liquid chromatography (HPLC) separation approach has been combined with ion mobility/time-of-flight (TOF) mass spectrometry in order to characterize a combinatorial peptide library designed to contain 4000 peptides of the general form NH2-Xxx-Xxx-XXX-CO2H, NH2-Ala-Xxx-Xxx-Xxx-CO2H, NH2-Ser-Ala-Xxx-Xxx-Xxx-CO2H and NH2-Leu-Ser-Ala-Xxx-Xxx-Xxx-CO2H (where Xxx represents a randomization over 10 different amino acids: Ala, Arg, Asp, Glu, Gly, Leu, Lys, Phe, Ser, and Val). Addition of the gas-phase mobility separation between the HPLC separation and TOF measurement dimensions makes it possible to resolve many peptide isomers that have identical retention times (and masses).