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Therapeutic Proteins

Overview of attention for book
Cover of 'Therapeutic Proteins'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Therapeutic proteins.
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    Chapter 2 Synthetic antibody libraries.
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    Chapter 3 The Construction of “Phylomer” Peptide Libraries as a Rich Source of Potent Inhibitors of Protein/Protein Interactions
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    Chapter 4 Ribosome Display and Screening for Protein Therapeutics
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    Chapter 5 Yeast display of engineered antibody domains.
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    Chapter 6 Expression, Purification, and Characterization of Engineered Antibody CH2 and VH Domains.
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    Chapter 7 Engineering of Affibody Molecules for Therapy and Diagnostics
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    Chapter 8 Protein Design for Diversity of Sequences and Conformations Using Dead-End Elimination
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    Chapter 9 Design and Generation of DVD-Ig™ Molecules for Dual-Specific Targeting
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    Chapter 10 Engineering and Expression of Bibody and Tribody Constructs in Mammalian Cells and in the Yeast Pichia pastoris
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    Chapter 11 Use of E. coli for the Production of a Single Protein
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    Chapter 12 Folding Engineering Strategies for Efficient Membrane Protein Production in E. coli
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    Chapter 13 Transient Expression Technologies: Past, Present, and Future
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    Chapter 14 Stable Transfection Pools for Large Quantity of Protein Production
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    Chapter 15 Mammalian Stable Expression of Biotherapeutics
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    Chapter 16 Transgenic Expression of Therapeutic Proteins in Arabidopsis thaliana Seed
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    Chapter 17 Methods for Chromatographic Removal of Endotoxin
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    Chapter 18 Effectiveness of various processing steps for viral clearance of therapeutic proteins: database analyses of commonly used steps.
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    Chapter 19 High-Throughput Quantitative N-Glycan Analysis of Glycoproteins
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    Chapter 20 High-Throughput Multimodal Strong Anion Exchange Purification and N-Glycan Characterization of Endogenous Glycoprotein Expressed in Glycoengineered Pichia pastoris
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    Chapter 21 Databases and tools in glycobiology.
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    Chapter 22 Characterization of PEGylated Biopharmaceutical Products by LC/MS and LC/MS/MS
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    Chapter 23 Identification of Asp Isomerization in Proteins by 18 O Labeling and Tandem Mass Spectrometry
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    Chapter 24 Monitoring of Subvisible Particles in Therapeutic Proteins
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    Chapter 25 Size-Exclusion Chromatography with Multi-angle Light Scattering for Elucidating Protein Aggregation Mechanisms
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    Chapter 26 Computational Methods to Predict Therapeutic Protein Aggregation
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    Chapter 27 Coarse-Grained Simulations of Protein Aggregation
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    Chapter 28 Chitosan-based nanoparticles as delivery systems of therapeutic proteins.
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    Chapter 29 Challenges in the Development and Manufacturing of Antibody–Drug Conjugates
Attention for Chapter 18: Effectiveness of various processing steps for viral clearance of therapeutic proteins: database analyses of commonly used steps.
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Chapter title
Effectiveness of various processing steps for viral clearance of therapeutic proteins: database analyses of commonly used steps.
Chapter number 18
Book title
Therapeutic Proteins
Published in
Methods in molecular biology, May 2012
DOI 10.1007/978-1-61779-921-1_18
Pubmed ID
Book ISBNs
978-1-61779-920-4, 978-1-61779-921-1
Authors

Cipriano D, Burnham M, Hughes JV, Cipriano, Dana, Burnham, Michael, Hughes, Joseph V., Dana Cipriano, Michael Burnham, Joseph V. Hughes

Abstract

The successful implementation of any biologically derived product in human clinical trials and as a marketed biopharmaceutical requires the critical utilization of effective viral clearance steps. As biologic products have inherent risks of potentially carrying and or amplifying adventitious viruses that may be present in or introduced into the original materials, a number of processing steps are needed to provide adequate virus removal. Some common process steps are introduced into downstream purification schemes that provide a physical means to separate and/or remove viruses from the therapeutic protein. The physical steps often include virus-removing filters and chromatographic resins in column or membrane configurations, but can also include the introduction of irradiation, high heat steps, or other means for destroying the infectivity of a virus. Chemical treatment steps are often utilized as a means to inactivate a wide variety of virus types. A general overview is provided that describes the most commonly used techniques for virus removal or inactivation for the validation of virus clearance. Data sets from studies performed at WuXi AppTec for a wide variety of biologics reveal a number of steps that provide guidance for the design of process steps dedicated to viral clearance. The overall efficiency of several process steps reveals a number of efficient, robust steps, such as nanofiltration which can be designed for removal of almost all viral species. Exposure to a low pH or solvent detergent is also a robust step for inactivating enveloped virus. Steps with greater variances in predictability include chromatography steps such as capture columns and anion exchange resins. A lower removal capacity is typically expected for other chromatography steps such as cation exchange steps.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Austria 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 26%
Student > Master 7 21%
Student > Ph. D. Student 5 15%
Professor > Associate Professor 2 6%
Student > Bachelor 2 6%
Other 3 9%
Unknown 6 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 24%
Biochemistry, Genetics and Molecular Biology 4 12%
Engineering 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Chemical Engineering 2 6%
Other 7 21%
Unknown 8 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 January 2017.
All research outputs
#14,729,713
of 22,671,366 outputs
Outputs from Methods in molecular biology
#4,646
of 13,037 outputs
Outputs of similar age
#101,180
of 164,347 outputs
Outputs of similar age from Methods in molecular biology
#19
of 43 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,037 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 164,347 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.