These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

100 related articles for article (PubMed ID: 27312986)

  • 1. Modeling and optimization of Newfoundland shrimp waste hydrolysis for microbial growth using response surface methodology and artificial neural networks.
    Zhang K; Zhang B; Chen B; Jing L; Zhu Z; Kazemi K
    Mar Pollut Bull; 2016 Aug; 109(1):245-252. PubMed ID: 27312986
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimization of the production of shrimp waste protein hydrolysate using microbial proteases adopting response surface methodology.
    Dey SS; Dora KC
    J Food Sci Technol; 2014 Jan; 51(1):16-24. PubMed ID: 24426043
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimization of peptic hydrolysis parameters for the production of angiotensin I-converting enzyme inhibitory hydrolysate from Acetes chinensis through Plackett-Burman and response surface methodological approaches.
    Cao W; Zhang C; Ji H; Hao J
    J Sci Food Agric; 2012 Jan; 92(1):42-8. PubMed ID: 21732383
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial neuronal networks (ANN) to model the hydrolysis of goat milk protein by subtilisin and trypsin.
    Espejo-Carpio FJ; Pérez-Gálvez R; Guadix A; Guadix EM
    J Dairy Res; 2018 Aug; 85(3):339-346. PubMed ID: 30156524
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Modeling and optimization of heterogeneous photo-Fenton process with response surface methodology and artificial neural networks.
    Kasiri MB; Aleboyeh H; Aleboyeh A
    Environ Sci Technol; 2008 Nov; 42(21):7970-5. PubMed ID: 19031889
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of estimation capabilities of response surface methodology (RSM) with artificial neural network (ANN) in lipase-catalyzed synthesis of palm-based wax ester.
    Basri M; Rahman RN; Ebrahimpour A; Salleh AB; Gunawan ER; Rahman MB
    BMC Biotechnol; 2007 Aug; 7():53. PubMed ID: 17760990
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modeling and optimization of anaerobic codigestion of potato waste and aquatic weed by response surface methodology and artificial neural network coupled genetic algorithm.
    Jacob S; Banerjee R
    Bioresour Technol; 2016 Aug; 214():386-395. PubMed ID: 27155267
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Optimization of enzymatic hydrolysis of visceral waste proteins of Catla (Catla catla) for preparing protein hydrolysate using a commercial protease.
    Bhaskar N; Benila T; Radha C; Lalitha RG
    Bioresour Technol; 2008 Jan; 99(2):335-43. PubMed ID: 17303414
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of central composite design and artificial neural network in modeling of reactive blue 21 dye removal by photo-ozonation process.
    Mehrizad A; Gharbani P
    Water Sci Technol; 2016; 74(1):184-93. PubMed ID: 27386996
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Optimization of Bromelain-Aided Production of Angiotensin I-Converting Enzyme Inhibitory Hydrolysates from Stone Fish Using Response Surface Methodology.
    Muhammad Auwal S; Zarei M; Abdul-Hamid A; Saari N
    Mar Drugs; 2017 Mar; 15(4):. PubMed ID: 28362352
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modelling and optimization of Mn/activate carbon nanocatalysts for NO reduction: comparison of RSM and ANN techniques.
    Mousavi SM; Niaei A; Salari D; Panahi PN; Samandari M
    Environ Technol; 2013; 34(9-12):1377-84. PubMed ID: 24191470
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A solvent-stable metalloprotease produced by Pseudomonas aeruginosa A2 grown on shrimp shell waste and its application in chitin extraction.
    Ghorbel-Bellaaj O; Jellouli K; Younes I; Manni L; Ouled Salem M; Nasri M
    Appl Biochem Biotechnol; 2011 Jun; 164(4):410-25. PubMed ID: 21221843
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Response surface methodology for autolysis parameters optimization of shrimp head and amino acids released during autolysis.
    Cao W; Zhang C; Hong P; Ji H
    Food Chem; 2008 Jul; 109(1):176-83. PubMed ID: 26054279
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial neural networks to model the production of blood protein hydrolysates for plant fertilisation.
    Gálvez RP; Carpio FJ; Guadix EM; Guadix A
    J Sci Food Agric; 2016 Jan; 96(1):207-14. PubMed ID: 25582642
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Optimization of hydrolysis conditions for the production of antioxidant peptides from fish gelatin using response surface methodology.
    You L; Regenstein JM; Liu RH
    J Food Sci; 2010 Aug; 75(6):C582-7. PubMed ID: 20722914
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Optimization of cultural conditions using response surface methodology versus artificial neural network and modeling of L-glutaminase production by Bacillus cereus MTCC 1305.
    Singh P; Shera SS; Banik J; Banik RM
    Bioresour Technol; 2013 Jun; 137():261-9. PubMed ID: 23587828
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Preparation of reactive oxygen scavenging peptides from tilapia (Oreochromis niloticus) skin gelatin: optimization using response surface methodology.
    Zhuang Y; Sun L
    J Food Sci; 2011 Apr; 76(3):C483-9. PubMed ID: 21535818
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Protein hydrolysate from visceral waste proteins of Catla (Catla catla): optimization of hydrolysis conditions for a commercial neutral protease.
    Bhaskar N; Mahendrakar NS
    Bioresour Technol; 2008 Jul; 99(10):4105-11. PubMed ID: 17933524
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Optimization of enzymatic hydrolysis of shrimp waste for recovery of antioxidant activity rich protein isolate.
    Sowmya R; Ravikumar TM; Vivek R; Rathinaraj K; Sachindra NM
    J Food Sci Technol; 2014 Nov; 51(11):3199-207. PubMed ID: 26396312
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Cost-effective approach to ethanol production and optimization by response surface methodology.
    Uncu ON; Cekmecelioglu D
    Waste Manag; 2011 Apr; 31(4):636-43. PubMed ID: 21220196
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.