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Computational and Structural Biotechnology Journal|September 30, 2021
Automated metabolic assignment: Semi-supervised learning in metabolic analysis employing two dimensional Nuclear Magnetic Resonance (NMR)Lubaba Migdadi, Jörg Lambert, Ahmad Telfah, et al.Computational and Structural Biotechnology Journal|September 30, 2021
Structural determinants of peptide-dependent TAP1-TAP2 transit passage targeted by viral proteins and altered by cancer-associated mutationsMonikaben Padariya, Sachin Kote, Marcos Mayordomo, et al.Computational and Structural Biotechnology Journal|April 15, 2022
Deciphering the structure of Arabidopsis thaliana 5-enol-pyruvyl-shikimate-3-phosphate synthase: An essential step toward the discovery of novel inhibitors to supersede glyphosateMilosz Ruszkowski, Giuseppe ForlaniComputational and Structural Biotechnology Journal|April 15, 2022
Soil under stress: The importance of soil life and how it is influenced by (micro)plastic pollutionL Joos, C De TenderComputational and Structural Biotechnology Journal|April 15, 2022
KEMET - A python tool for KEGG Module evaluation and microbial genome annotation expansionMatteo Palù, Arianna Basile, Guido Zampieri, et al.Computational and Structural Biotechnology Journal|January 24, 2022
Advanced biokinetic and hydrodynamic modelling to support and optimize the design of full-scale high rate algal pondsAntonio Ortiz, Rubén Díez-Montero, Joan García, et al.Computational and Structural Biotechnology Journal|January 24, 2022
Critical assessment of structure-based approaches to improve protein resistance in aqueous ionic liquids by enzyme-wide saturation mutagenesisTill El Harrar, Mehdi D Davari, Karl-Erich Jaeger, et al.Computational and Structural Biotechnology Journal|October 3, 2018
FoldX as Protein Engineering Tool: Better Than Random Based Approaches?Oliver Buß, Jens Rudat, Katrin OchsenreitherComputational and Structural Biotechnology Journal|October 3, 2018
Machine Learning Methods for Histopathological Image AnalysisDaisuke Komura, Shumpei IshikawaComputational and Structural Biotechnology Journal|October 3, 2018
A Review of Matched-pairs Feature Selection Methods for Gene Expression Data AnalysisSen Liang, Anjun Ma, Sen Yang, et al.Pageof 381