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Protein Sciences

Uniting Drug Development Expertise with Antibody & Protein Production Services

Micro Developability


Early-Stage Assessment of Your Antibody Candidates

 

Most drug candidates are initially screened and selected based on affinity and functionality. Less attention is paid to other developability-related properties, such as the pharmacokinetics (PK) profile, biophysical properties, and immunogenicity risk. As a result, during the discovery stage, we have established a Micro Developability service that evaluates developability properties via a fast high-throughput system that requires only small amounts of material making it efficient and cost-effective.

Early-stage biologics drug developability testing using <1 mg antibody completed within 2 weeks, from in silico analysis, PK prediction to biophysical analysis.

Our Micro Developability Services Include:

  • In silico analysis
  • Pharmacokinetics prediction
  • Biophysical characterization via mass spec analysis

 

Most of the assays in these studies are completed within 2 weeks using <1 mg antibody. All of these tests are conducted by our experienced in-house staff, offering streamlined and efficient testing without the need to outsource to multiple vendors. This means you can evaluate the developability potential of your targets and avoid developing undruggable targets.

Our Micro Developability services cover in silico analysis, PK prediction, biophysical characterization via mass spec analysis, and early-stage product stability.

Pharmacokinetics (PK)-predicting Assays

Our PK-prediction panel consists of HTP, sensitive, and robust assays that examine the physicochemical properties of monoclonal antibodies (mAbs) to help you predict the PK profile of your lead molecules.

 

  • AC-SINS/HIC: Evaluation of self-association tendency
  • Baculovirus/DNA/Insulin ELISA: Assessment of charge-based/non-specific binding
  • FcRn Affinity: Evaluation of clearance
  • Serum Stability: Assessment of half-life

AC-SINS (Affinity-Capture Self-Interacting Nanoparticle Spectroscopy)

The AC-SINS assay evaluates the propensity of antibody self-association and aggregation.

 

  • HTP, low concentration, and purity requirement
  • Assessment of antibody’s propensity of self-association/aggregation, viscosity, etc.

Figure A: Our high-throughput AC-SINS assay exploits the colloidal properties of Au nanoparticles by using anti-human Fc antibodies coated on Au nanoparticles to capture mAbs.

anti-human Fc antibodies coated on Au nanoparticles to capture mAbs in AC-SINS assay.

Figure B: Data generated using the AC-SINS assay demonstrates comparability with previously published data and confirms AC-SINS is a powerful tool for predicting aggregation and PK risk of early-stage biotherapeutic molecules.

Our AC-SINS data is consistent with the published data for clinical mAbs.

AC-SINS HIC Correlation

The following graphs present AC-SINS and HIC analysis of conformational changes in native forms of proteins.

Figure A: Shows an example of self-associating antibody, where the absorbance peak exhibits a red shift in absorbance wavelength.

 

Self-associating antibody vs. non-self-associating mAbs in the AC-SINS assay.

Self-associating antibody vs. non-self-associating mAbs in the HIC assay.

Figure B: HIC offers one type of assessment of mAbs for their robustness during manufacturing, long-term storage, and delivery. The HIC results here showed that the mAbs peak shape of self-association shifted posteriorly, and there were tailing peaks.

Figure C: Further selection could been made through the combination of AC-SINS and HIC assay results plotted on the same graph. Molecules showing less wavelength shift and shorter retention time suggest better PK profiles.

Combine AC-SINS and HIC assay results to predict PK profile.

Baculovirus/DNA/Insulin ELISA

These HTP assays offer robust, cost-effective assessments of the non-specific binding of mAbs.

 

  • Reliable indicator for non-specific binding of mAbs
  • Most sensitive assays for measuring low-affinity, charge-based interactions of mAbs
  • High throughput, low cost, and robust

Figure A: mAb3 shows little poly-reactivity, suggesting a good PK profile. Alternatively, mAb1 and mAb2 show significant concentration-dependent binding to BVP, DNA and insulin, suggesting high risk and poor PK profiles.

Using Baculovirus, DNA and Insulin ELISA for the assessing the non-specific binding of mAbs.

A panel of clinical mAbs were tested in BVP/DNA/insulin ELISA showing diverse profiles.

Figure B: A panel of clinical mAbs were tested in BVP/DNA/insulin ELISA showing diverse profiles.

Micro Developability Service Details:

Service Item Description Duration Request A Quote
DSF for Tm, one (1) molecule

1. Sample requirements: protein samples amount >25 ug; concentration >0.1 mg/mL

 

2. Deliverables: protein melting temperature Tm

2 weeks Request A Quote
Polyreactivity study-AC-SINS for self-association, one (1) molecule

1. Sample requirements: antibody samples amount >20 μg; concentration >0.5 mg/mL

 

2. Deliverables: wavelength shift compared to blank AuNP; self-association score

2 weeks
Polyreactivity study-HIC HPLC for self-association, one (1) molecule

1. Sample requirement: antibody samples amount >50 μg; concentration >0.5 mg/mL

 

2. Deliverables: hydrophobicity of the sample and the correlation with AC-SINS data (if applicable)

2 weeks
Particle size by DLS (DLS-Radius)

1. Sample requirement: antibody samples purity >95%, concentration >1.5 mg/mL, 100 μL

 

2. Deliverables: particle size distribution

2 weeks
Solubility check and predication (DLS-kD & Appearance inspection)

1. Sample requirement: antibody samples purity >95%, amount >4 mg; concentration >0.5 mg/mL

 

2. Deliverables: kD

2 weeks

Optional: High concentration study with viscosity, one (1) molecule

1. Sample requirement: >500 mg of sample is required; concentration based on needs

 

2. Deliverables: viscosity at designated concentrations

2 weeks
Polyreactivity study-Baculovirus ELISA, one (1) molecule

1. Sample requirement: antibody samples amount >250 μg; concentration >0.5 mg/mL

 

2. Deliverables: titration curve and baculovirus binding score

2 weeks
Polyreactivity study-DNA ELISA, one (1) molecule

1. Sample requirement: antibody samples amount >250 μg; concentration >0.5 mg/mL

 

2. Deliverables: titration curve and DNA binding score

2 weeks
Insulin ELISA, one (1) molecule

1. Sample requirement: antibody samples amount >250 μg; concentration >0.5 mg/mL

 

2. Deliverables: titration curve and insulin binding score

2 weeks
FcRn binding assay, one (1) molecule

1. Sample requirement: antibody samples amount > 100 ug; concentration > 0.5 mg/mL (FcRn protein is included)

 

2. Deliverables: kinetics or affinity profile at pH 6.0. Optional: kinetics or affinity profile at pH 7.4

2 weeks
FcγRI/FcγRII/FcγRIII binding assay one (1) molecule

1. Sample requirement: antibody samples amount > 100ug; concentration > 0.5mg/mL(FcγR protein is included)

 

2. Deliverables: kinetics or affinity

2 weeks
Serum cleavage assay, one (1) molecule

1. Sample requirement: antibody samples amount >100 μg; concentration >0.5 mg/mL

 

2. Deliverables: protein cleavage percentage and/or cleavage sites

2 weeks

 

Preliminary Stability Assessment Service Details:

(Example stability protocol)

Test Low PH Hold Free/Thaw (3X/5X cycles) Thermo 40C (1W/2W)
  To End To End To End
ICIEF Optional Optional Optional Optional X X
SEC Optional X Optional X X X
Caliper NR Optional Optional Optional Optional X X
Caliper R Optional Optional Optional Optional X X
MS Intact Optional Optional Optional Optional X X
CE-MS (optional) Optional Optional Optional Optional X X
MS Peptide Map (optional) Optional Optional Optional Optional X X

Note: “X” is stability data point

Timeline for stability study (peptide mapping and CE-MS not included): 1~2 weeks after sample process is finished; for peptide mapping and CE-MS, 3~4 weeks after sample process.

Frequently Asked Questions for our Micro Developability Services

Q: How much antibody do you need for each protein characterization assay?

A: Typically, we only need a small amount of antibody for each assay. For AC-SINS, we need ~10-15 micrograms depending on the incubation concentration and the number of duplicates required.

Q: What type of serum do you use for the serum stability assay?

A: We typically use mouse and cyno serum for human drugs. Of course, we can also develop customized serum based on our clients’ needs.

Q: Can I choose specific protein characterization assays within your package?

A: Yes, of course. Most of our clients choose the full package, but some clients have a good understanding of their molecule and select a few specific assays from our package.

Q: These developability tests are usually formulation dependent. Do you conduct these tests only after process development and formulation development programs are completed?

A: Our micro developability assays are conducted on early-stage molecules. As such, the formulation study and other comprehensive studies are performed after this panel of assays.

Q: How was your ELISA score against BV, DNA, and Insulin for the commercial antibody panel compared to published results?

A: Our data is quite consistent with published data.

Q: Do you check high pH hold for the forced degradation study?

A: Most clients want to know low pH, but some clients ask us to perform the high pH hold. We can customize our testing based on clients’ needs and can perform high pH upon request.

Q: What does the change in iCIEF percentage mean for the 40°C sample?

A: It means that before the 40°C stress there’s some population distribution of the main species, acidic species, and the basic species. After the high-temperature stress, the population distribution changes slightly, because of the charge changes.

Q: For serum stability, how do you determine whether observed degradation is due to incubation in serum, or from stress of capture/elute after incubation?

A: In this assay, we have a control sample. This sample is a mixture of serum and target protein but isn’t incubated. By comparing the control, degradation caused by the stress of capture/elute can be excluded.

Q: When you do a biophysical assessment for manufacturability, what do you do if the screening results show poor stability, or you can’t determine optimal formulation/pH?

A: We start by looking at the molecule’s sequence and determine whether there are opportunities to optimize its profile. If we can engineer the sequence, we may use the wet lab assays to verify the molecule again.

Q: Will in silico prediction work for bispecific, multispecific, or other non-mAb structures?

A: Yes. The algorithm works for many kinds of proteins. We can perform in silico analysis for all of them.

Q: What is the throughput of your micro developability platform? How many antibodies coming from a discovery effort can be reasonably put through the entire process?

A: Typically, it’s about 100 molecules. However, we can easily accommodate more.

Q: What in silico tool do you use for aggregation profiling? Is this open source or proprietary?

A: It’s a proprietary algorithm developed based on the solvent-accessible surface region of the hydrophobicity residues and the existence of free cysteine residue from the structural information.

Q: Do you typically engineer existing molecules, or do you start from nothing each time?

A: We can do it either way. Our clients can come to us with existing molecules, or our Protein Sciences Department can produce the protein from a sequence.

Q: Do you ever encounter differences in behavior between artificial intelligence (AI) prediction and experimental data? What would you do in that case?

A: We have three categories of algorithms: 1) Sequence liability, 2) aggregation propensity, 3) and immunogenicity prediction. Sequence liability is an open-sourced algorithm for post-translational modifications (PTMs) prediction. We assessed liability because PTMs on the CDR regions may affect antigen-binding. Regarding aggregation propensity prediction, the results would indicate high/medium/low aggregation based on the solvent-accessible surface region of the hydrophobicity residues and the existence of free cysteine residue. However, the formation of protein aggregates is influenced by multiple factors (e.g., solvent micro-environment, solvent concentration, storage time, and condition), and the prediction can only reflect the effect of hydrophobicity and/or unwanted disulfide bond formation. For the last immunogenicity prediction, our results show a ~0.6 correlation between ADA generation and our prediction using publicly assessable data.

Q: What’s the typical turnaround time for your full micro developability package?

A: We can perform most of our PK-predicting assays in two weeks. The time it takes to conduct forced degradation studies depends on the desired conditions (e.g., the number of days to incubate your sample). After we finish the experiment, it typically takes a week to produce the final report.

Q: How related are early-stage developability and late-stage developability?

A: The purposes of early- and late-stage packages are different. The early-stage package is used to predict risks and provide guidance to optimize the molecule. The late-stage package is used to investigate the molecule’s properties (which is typically already optimized in the early stage).

Q: Can you customize the stability assays according to a client’s specifications?

A: Yes, of course. We can accommodate any specific requirements you have for your project.

Your Project. Our Expertise.