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Record W4248729347 · doi:10.1007/978-1-59745-457-5_11

Recombinant Protein Production in Large-Scale Agitated Bioreactors Using the Baculovirus Expression Vector System

2007· book-chapter· en· W4248729347 on OpenAlexaff
Cynthia B. Elias, Barbara Jardin, Amine Kamen

Bibliographic record

VenueMethods in molecular biology · 2007
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicViral Infectious Diseases and Gene Expression in Insects
Canadian institutionsNational Research Council CanadaBiotechnology Research Institute
Fundersnot available
KeywordsBioreactorRecombinant DNABiologyBiotechnologyBiochemical engineeringEngineeringBiochemistryBotany

Abstract

fetched live from OpenAlex

The production of recombinant proteins using the baculovirus expression vector system in large-scale agitated bioreactors is discussed in this chapter. Detailed methods of the key stages of a batch process, including host cell growth, virus stock amplification and quantification, bioreactor preparation and operation, the infection process, final harvesting, and primary separation steps for recovery of the product are presented. Furthermore, methods involved with online monitoring and bioreactor control, which have a significant impact on the overall success of the process, are provided, including advanced online monitoring of physiological parameters such as biovolume and respiration activity for batch and fed-batch insect cell cultures along with their role in operating high cell density cultures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.362
Teacher spread0.331 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2007
Admission routes1
Has abstractyes

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