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BMC Bioinformatics
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November 16, 2006
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Jesper Salomon, Darren R Flower
Proteins
|
July 14, 2025
Supervised Learning of Protein Melting Temperature: Cross-Species vs. Species-Specific Prediction
Sebastián García López, Jesper Salomon, Wouter Boomsma
Computational Biology and Chemistry
|
November 14, 2021
Deep protein representations enable recombinant protein expression prediction
Hannah-Marie Martiny, Jose Juan Almagro Armenteros, Alexander Rosenberg Johansen, et al.
Bioinformatics (Oxford, England)
|
January 28, 2022
NetSolP: predicting protein solubility in Escherichia coli using language models
Vineet Thumuluri, Hannah-Marie Martiny, Jose J Almagro Armenteros, et al.
Methods (San Diego, Calif.)
|
March 11, 2010
Improved microRNA quantification in total RNA from clinical samples
Ditte Andreasen, Jacob U Fog, William Biggs, et al.
Plos Computational Biology
|
May 3, 2024
A systematic analysis of regression models for protein engineering
Richard Michael, Jacob Kæstel-Hansen, Peter Mørch Groth, et al.
RNA (New York, N.Y.)
|
September 12, 2009
Quantitative miRNA expression analysis: comparing microarrays with next-generation sequencing
Hanni Willenbrock, Jesper Salomon, Rolf Søkilde, et al.
Expert Opinion on Drug Discovery
|
March 19, 2013
Using databases and data mining in vaccinology
Matthew N Davies, Pingping Guan, Martin J Blythe, et al.
Scientific Reports
|
October 25, 2022
A novel metagenome-derived viral RNA polymerase and its application in a cell-free expression system for metagenome screening
Yuchen Han, Birhanu M Kinfu, Fabian Blombach, et al.
Plos One
|
September 11, 2014
A comparative metagenome survey of the fecal microbiota of a breast- and a plant-fed Asian elephant reveals an unexpectedly high diversity of glycoside hydrolase family enzymes
Nele Ilmberger, Simon Güllert, Joana Dannenberg, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 11) with videos related to
Sort By:
Page
of 2
BMC Bioinformatics
|
November 16, 2006
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Jesper Salomon, Darren R Flower
Proteins
|
July 14, 2025
Supervised Learning of Protein Melting Temperature: Cross-Species vs. Species-Specific Prediction
Sebastián García López, Jesper Salomon, Wouter Boomsma
Computational Biology and Chemistry
|
November 14, 2021
Deep protein representations enable recombinant protein expression prediction
Hannah-Marie Martiny, Jose Juan Almagro Armenteros, Alexander Rosenberg Johansen, et al.
Bioinformatics (Oxford, England)
|
January 28, 2022
NetSolP: predicting protein solubility in Escherichia coli using language models
Vineet Thumuluri, Hannah-Marie Martiny, Jose J Almagro Armenteros, et al.
Methods (San Diego, Calif.)
|
March 11, 2010
Improved microRNA quantification in total RNA from clinical samples
Ditte Andreasen, Jacob U Fog, William Biggs, et al.
Plos Computational Biology
|
May 3, 2024
A systematic analysis of regression models for protein engineering
Richard Michael, Jacob Kæstel-Hansen, Peter Mørch Groth, et al.
RNA (New York, N.Y.)
|
September 12, 2009
Quantitative miRNA expression analysis: comparing microarrays with next-generation sequencing
Hanni Willenbrock, Jesper Salomon, Rolf Søkilde, et al.
Expert Opinion on Drug Discovery
|
March 19, 2013
Using databases and data mining in vaccinology
Matthew N Davies, Pingping Guan, Martin J Blythe, et al.
Scientific Reports
|
October 25, 2022
A novel metagenome-derived viral RNA polymerase and its application in a cell-free expression system for metagenome screening
Yuchen Han, Birhanu M Kinfu, Fabian Blombach, et al.
Plos One
|
September 11, 2014
A comparative metagenome survey of the fecal microbiota of a breast- and a plant-fed Asian elephant reveals an unexpectedly high diversity of glycoside hydrolase family enzymes
Nele Ilmberger, Simon Güllert, Joana Dannenberg, et al.
Page
of 2