Literature DB >> 22725690

Methods of high throughput biophysical characterization in biopharmaceutical development.

Vladimir I Razinkov1, Michael J Treuheit, Gerald W Becker.   

Abstract

Discovery and successful development of biopharmaceutical products depend on a thorough characterization of the molecule both before and after formulation. Characterization of a formulated biotherapeutic, typically a protein or large peptide, requires a rigorous assessment of the molecule's physical stability. Stability of a biotherapeutic includes not only chemical stability, i.e., degradation of the molecule to form undesired modifications, but also structural stability, including the formation of aggregates. In this review, high throughput biophysical characterization techniques are described according to their specific applications during biopharmaceutical discovery, development and manufacturing. The methods presented here are classified according to these attributes, and include spectroscopic assays based on absorbance, polarization, intrinsic and extrinsic fluorescence, surface plasmon resonance instrumentation, calorimetric methods, dynamic and static light scattering techniques, several visible particle counting and sizing methods, new viscosity assay, based on light scattering and mass spectrometry. Several techniques presented here are already implemented in industry; but, many high throughput biophysical methods are still in the initial stages of implementation or even in the prototype stage. Each technique in this report is judged by the specific application of the method through the biopharmaceutical development process.

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Year:  2013        PMID: 22725690     DOI: 10.2174/157016313804998915

Source DB:  PubMed          Journal:  Curr Drug Discov Technol        ISSN: 1570-1638


  7 in total

Review 1.  High-throughput biophysical analysis of protein therapeutics to examine interrelationships between aggregate formation and conformational stability.

Authors:  Rajoshi Chaudhuri; Yuan Cheng; C Russell Middaugh; David B Volkin
Journal:  AAPS J       Date:  2013-10-31       Impact factor: 4.009

2.  Radar chart array analysis to visualize effects of formulation variables on IgG1 particle formation as measured by multiple analytical techniques.

Authors:  Cavan Kalonia; Ozan S Kumru; Jae Hyun Kim; C Russell Middaugh; David B Volkin
Journal:  J Pharm Sci       Date:  2013-10-09       Impact factor: 3.534

3.  Native MS and ECD Characterization of a Fab-Antigen Complex May Facilitate Crystallization for X-ray Diffraction.

Authors:  Ying Zhang; Weidong Cui; Aaron T Wecksler; Hao Zhang; Patricia Molina; Galahad Deperalta; Michael L Gross
Journal:  J Am Soc Mass Spectrom       Date:  2016-04-21       Impact factor: 3.109

4.  Early developability screen of therapeutic antibody candidates using Taylor dispersion analysis and UV area imaging detection.

Authors:  Alexandra Lavoisier; Jean-Marc Schlaeppi
Journal:  MAbs       Date:  2015       Impact factor: 5.857

5.  Exploiting sequence and stability information for directing nanobody stability engineering.

Authors:  Patrick Kunz; Tilman Flock; Nicolas Soler; Moritz Zaiss; Cécile Vincke; Yann Sterckx; Damjana Kastelic; Serge Muyldermans; Jörg D Hoheisel
Journal:  Biochim Biophys Acta Gen Subj       Date:  2017-06-20       Impact factor: 3.770

6.  A rapid solution-based method for determining the affinity of heroin hapten-induced antibodies to heroin, its metabolites, and other opioids.

Authors:  Oscar B Torres; Alexander J Duval; Agnieszka Sulima; Joshua F G Antoline; Arthur E Jacobson; Kenner C Rice; Carl R Alving; Gary R Matyas
Journal:  Anal Bioanal Chem       Date:  2018-04-19       Impact factor: 4.142

7.  Charge and hydrophobicity are key features in sequence-trained machine learning models for predicting the biophysical properties of clinical-stage antibodies.

Authors:  Max Hebditch; Jim Warwicker
Journal:  PeerJ       Date:  2019-12-18       Impact factor: 2.984

  7 in total

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