Disruption of Pseudomonas putida by high pressure homogenization: a comparison of the predictive capacity of three process models for the efficient release of arginine deiminase

Arginine dependence of tumor cells: targeting a chink in cancer’s armor

(2016) M D Patil et al.   ONCOGENE

Comparison of response surface methodology and artificial neural network approach towards efficient ultrasound-assisted biodiesel production from muskmelon oil

(2015) J. Prakash Maran et al.   ULTRASONICS SONOCHEMISTRY

Ultrasound assisted biodiesel production from sesame ( Sesamum indicum L.) oil using barium hydroxide as a heterogeneous catalyst: Comparative assessment of prediction abilities between response surface methodology (RSM) and artificial neural network (ANN)

(2015) Antaram Sarve et al.   ULTRASONICS SONOCHEMISTRY

Application of response surface methodology and artificial neural network methods in modelling and optimization of biosorption process

(2014) Anna Witek-Krowiak et al.   BIORESOURCE TECHNOLOGY

Synthesis of Mycoplasma arginine deiminase in E. coli using stress-responsive proteins

(2014) Keum-Young Ahn et al.   ENZYME AND MICROBIAL TECHNOLOGY

Improved method for expression and isolation of the Mycoplasma hominis arginine deiminase from the recombinant strain of Escherichia coli

(2013) Lyubov R. Fayura et al.   JOURNAL OF BIOTECHNOLOGY

Amino Acid Deprivation Inhibits TORC1 Through a GTPase-Activating Protein Complex for the Rag Family GTPase Gtr1

(2013) N. Panchaud et al.   Science Signaling

Comparison of the results of response surface methodology and artificial neural network for the biosorption of lead using black cumin

(2012) Deniz Bingöl et al.   BIORESOURCE TECHNOLOGY

Enhanced cell disruption strategy in the release of recombinant hepatitis B surface antigen from Pichia pastoris using response surface methodology

(2012) Yew Tam et al.   BMC BIOTECHNOLOGY

Rapid evolution of arginine deiminase for improved anti-tumor activity

(2011) Ye Ni et al.   APPLIED MICROBIOLOGY AND BIOTECHNOLOGY

Enhanced chrysene degradation by halotolerant Achromobacter xylosoxidans using Response Surface Methodology

(2011) Chirag M. Ghevariya et al.   BIORESOURCE TECHNOLOGY

Modelling of lead adsorption from industrial sludge leachate on red mud by using RSM and ANN

(2011) Feza Geyikçi et al.   CHEMICAL ENGINEERING JOURNAL

Support vector machines models for surface roughness prediction in CNC turning of AISI 304 austenitic stainless steel

(2010) Ulaş Çaydaş et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Modeling and optimization of tartaric acid reactive extraction from aqueous solutions: A comparison between response surface methodology and artificial neural network

(2010) N. Marchitan et al.   SEPARATION AND PURIFICATION TECHNOLOGY

Main factors regulating microbial inactivation by high-pressure homogenization: Operating parameters and scale of operation

(2008) Francesco Donsì et al.   CHEMICAL ENGINEERING SCIENCE