Skip to content
DraconiticResearch
Search Sources API
197,761 studies31 sourcesUpdated 56 min ago
PreprintAll rights reservedbioRxiv

Computational Prediction of Recombinant Expression Efficiency for Industrial Enzymes: An Integrated Co-Translational Sequence Analysis Platform

  • T. Jaitly1
  • N. R. Silvaggi
  • H. R. Horn
  • R. Singh
  • E. Corrigan
  • J. F. Conway
  1. 120/15 Visioneers
Read full textPDFDOICite

Related

  1. The Tryptophan Operator Acts as a Portable Downstream Enhancer for Recombinant Protein Expression in Escherichia coli
    Buli Su, Peixuan Lai, Xiong Xiong +4
    International Journal of Molecular SciencesPeer-reviewedCC BY 4.0Genetics & genomicsCrossref
  2. Cloning and heterologous expression of recombinant microcin S in Escherichia coli
    Vahid Dianatpur, Seyed Shahram Shekarforoush, Abdollah Derakhshandeh +3
    Molecular Biology Research CommunicationsPeer-reviewedCC BY-NC 4.0Full textMicrobiologyPMC
  3. Recombinant Expression and Functional Analysis of GH2 β-Galactosidases Derived from Lactobacillus delbrueckii subsp. bulgaricus NSP1 and Streptococcus thermophilus RB16
    Yuliya Shamsiyeva, Anel Kostanova, Annelya Tursunbekova +2
    International Journal of Molecular SciencesPeer-reviewedCC BY 4.0Full textSystems & synthetic biologyCrossrefEurope PMC
  4. Expression Profiling of a Recombinant Inbred Line Panel Identifies the dod-19 Gene as a Regulator of Ethanol Response Behaviors in C. elegans.
    Marijke H van Wijk, Mark G Sterken, Elizabeth C Quamme +7
    Alcohol, clinical & experimental researchPeer-reviewedCC BYFull textGenetics & genomicsEurope PMC
  5. FmdNspPred: A computational model for prediction of foot-and-mouth disease virus exposure of the susceptible animals using 2B NSP-ELISA data
    Samarendra Das, Bighneswar Barik, Jitendra Kumar Biswal +3
    VirusDiseasePeer-reviewedLicence not statedFull text1 citedPlant biologyPMC

Cite

BibTeXRIS
BibTeX
@misc{jaitly2026computational,
  title = {{Computational Prediction of Recombinant Expression Efficiency for Industrial Enzymes: An Integrated Co-Translational Sequence Analysis Platform}},
  author = {T. Jaitly and N. R. Silvaggi and H. R. Horn and R. Singh and E. Corrigan and J. F. Conway},
  howpublished = {bioRxiv},
  year = {2026},
  month = oct,
  doi = {10.64898/2026.10.07.757301},
  url = {https://www.biorxiv.org/content/10.64898/2026.10.07.757301v1},
}
RIS
TY  - UNPB
TI  - Computational Prediction of Recombinant Expression Efficiency for Industrial Enzymes: An Integrated Co-Translational Sequence Analysis Platform
AU  - T. Jaitly
AU  - N. R. Silvaggi
AU  - H. R. Horn
AU  - R. Singh
AU  - E. Corrigan
AU  - J. F. Conway
PY  - 2026
DA  - 2026/10/07
PB  - bioRxiv
DO  - 10.64898/2026.10.07.757301
UR  - https://www.biorxiv.org/content/10.64898/2026.10.07.757301v1
ER  -