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Paper36968340

Prediction of strain engineerings that amplify recombinant protein secretion through the machine learning approach MaLPHAS.

Markova EA and 2 others. Eng Biol, 2022. Cited by 3 papers, by iCite.

11 sourcespapers-2026-11-12-0.1.0

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ConductScience Library. Prediction of strain engineerings that amplify recombinant protein secretion through the machine learning approach MaLPHAS. Papers, record 36968340. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/36968340

Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title
Prediction of strain engineerings that amplify recombinant protein secretion through the machine learning approach MaLPHAS.
PubMed
Journal
Eng Biol
PubMed
Year
2022
PubMed
Publication types
Journal Article
PubMed
Citations, by iCite
3
iCite
Relative citation ratio, by iCite
0.32
iCite
Revised in PubMed
2023-11-06
PubMed

Authors3

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

OrderAuthorForenameKindORCID iD
1Markova EAEvgenia A
2Shaw RERachel E
3Reynolds CRChristopher Rhttps://orcid.org/0000-0002-8219-7462

Source PubMed

Topics0

NLM's MeSH indexing of the paper, its major topics first.

None in this release.

References77

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

OrderPMIDTitleJournalYearIn PapersSource
134,608,324Effective gene expression prediction from sequence by integrating long-range interactions.Nat Methods2021https://conductscience.org/library/papers/34608324PubMed
28,394,358Inclusion body formation and protein stability in sequence variants of interleukin-1 beta.J Biol Chem1993https://conductscience.org/library/papers/8394358PubMed
326,698,316Coexpression of cellulases in Pichia pastoris as a self-processing protein fusion.AMB Express2015https://conductscience.org/library/papers/26698316PubMed
431,024,485Bioproduction of the Recombinant Sweet Protein Thaumatin: Current State of the Art and Perspectives.Front Microbiol2019https://conductscience.org/library/papers/31024485PubMed
529,020,004iML1515, a knowledgebase that computes Escherichia coli traits.Nat Biotechnol2017https://conductscience.org/library/papers/29020004PubMed
629,860,483Scale-up of industrial microbial processes.FEMS Microbiol Lett2018https://conductscience.org/library/papers/29860483PubMed
725,554,074Principal component analysis of proteomics (PCAP) as a tool to direct metabolic engineering.Metab Eng2015https://conductscience.org/library/papers/25554074PubMed
815,286,982Increased production of Bacillus keratinase by chromosomal integration of multiple copies of the kerA gene.Biotechnol Bioeng2004https://conductscience.org/library/papers/15286982PubMed
917,874,175Production of active eukaryotic proteins through bacterial expression systems: a review of the existing biotechnology strategies.Mol Cell Biochem2008https://conductscience.org/library/papers/17874175PubMed
1032,978,379A machine learning Automated Recommendation Tool for synthetic biology.Nat Commun2020https://conductscience.org/library/papers/32978379PubMed
1110,660,911Python: a programming language for software integration and development.J Mol Graph Model1999https://conductscience.org/library/papers/10660911PubMed
1221,131,519Production of secretory and extracellular N-linked glycoproteins in Escherichia coli.Appl Environ Microbiol2011https://conductscience.org/library/papers/21131519PubMed
1319,304,878Biopython: freely available Python tools for computational molecular biology and bioinformatics.Bioinformatics2009https://conductscience.org/library/papers/19304878PubMed
1437,744,146Yeasts as Biopharmaceutical Production Platforms.Front Fungal Biol2021https://conductscience.org/library/papers/37744146PubMed
1528,400,330Metabolomics-driven approach to solving a CoA imbalance for improved 1-butanol production in Escherichia coli.Metab Eng2017https://conductscience.org/library/papers/28400330PubMed
1630,761,987Disulfide Bond Formation in the Periplasm of Escherichia coli.EcoSal Plus2019https://conductscience.org/library/papers/30761987PubMed
1731,894,001Development of therapeutic antibodies for the treatment of diseases.J Biomed Sci2020https://conductscience.org/library/papers/31894001PubMed
183,552,049Protein glycosylation in yeast.Biochim Biophys Acta1987https://conductscience.org/library/papers/3552049PubMed
1921,215,324Targeted proteomics for metabolic pathway optimization: application to terpene production.Metab Eng2011https://conductscience.org/library/papers/21215324PubMed
2017,905,994Escherichia coli physiology in Luria-Bertani broth.J Bacteriol2007https://conductscience.org/library/papers/17905994PubMed

See all 77 references

Cited by3

The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 3 citations.

PMIDTitleJournalYearIn PapersSource
38,034,587Artificial intelligence-driven systems engineering for next-generation plant-derived biopharmaceuticals.Front Plant Sci2023https://conductscience.org/library/papers/38034587PubMed
37,426,818Current state of molecular and metabolic strategies for the improvement of L-asparaginase expression in heterologous systems.Front Pharmacol2023https://conductscience.org/library/papers/37426818PubMed
36,968,340Prediction of strain engineerings that amplify recombinant protein secretion through the machine learning approach MaLPHAS.Eng Biol2022https://conductscience.org/library/papers/36968340PubMed

Genes2

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

GeneNCBI Gene IDLinked byIn GenesSource
COG657,511PubTator's text mininghttps://conductscience.org/library/genes/57511NCBI Gene
EPO2,056PubTator's text mininghttps://conductscience.org/library/genes/2056NCBI Gene

Data dates

The date of each source this release read.

PubMed
2026-11-06
PubMed
iCite
2026-11-05
iCite
PMC's ID file
2026-11-05
PMC's ID file
NIH RePORTER's grant and paper links
2026-11-01
NIH RePORTER's grant and paper links
Trials
2026-11-12
Gene search
2026-11-11
Pipelines
2026-09-18

None in this release

  • Grants
  • Trials
  • Comments and corrections
  • Drugs
  • Data

Sources 11

  • ChEMBL, through Open TargetsCC BY-SA 3.0
  • ClinicalTrials.govNo license stated
  • HGNCCC0
  • iCiteCC BY 4.0
  • NCBI GenePublic domain (US government)
  • NIH RePORTER's grant and paper linksPublic domain
  • Open TargetsCC0 1.0
  • PMC's ID filePublic domain (US government)
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0
Each source's terms
  • ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • ClinicalTrials.govnone stated
  • HGNCCC0: https://www.genenames.org/about/license/
  • iCiteCC BY 4.0
  • NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
  • Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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