Integrating machine learning tools in protein design: a case of MHETase engineering for PET biodeconstruction
Rommel Santiago Granja‐Travez(Los Alamos National Laboratory), Ramesh K. Jha(Los Alamos National Laboratory), Taraka Dale(Los Alamos National Laboratory)
Cited by 0
Related Papers
Engineering glucose metabolism for enhanced muconic acid production in Pseudomonas putida KT2440
|Metabolic Engineering|2020|126
Review of the algal biology program within the National Alliance for Advanced Biofuels and Bioproducts
|Algal Research|2016|91
Gene amplification, laboratory evolution, and biosensor screening reveal MucK as a terephthalic acid transporter in Acinetobacter baylyi ADP1
|Metabolic Engineering|2020|78
Genome Sequence and Transcriptome Analyses of Chrysochromulina tobin: Metabolic Tools for Enhanced Algal Fitness in the Prominent Order Prymnesiales (Haptophyceae)
|PLoS Genetics|2015|70
Computational Design of a PAK1 Binding Protein
|Journal of Molecular Biology|2010|69