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127 related items for PubMed ID: 16384569
1. Predicting the behaviour of proteins in hydrophobic interaction chromatography. 1: Using the hydrophobic imbalance (HI) to describe their surface amino acid distribution. Salgado JC, Rapaport I, Asenjo JA. J Chromatogr A; 2006 Feb 24; 1107(1-2):110-9. PubMed ID: 16384569 [Abstract] [Full Text] [Related]
2. Predicting the behaviour of proteins in hydrophobic interaction chromatography. 2. Using a statistical description of their surface amino acid distribution. Salgado JC, Rapaport I, Asenjo JA. J Chromatogr A; 2006 Feb 24; 1107(1-2):120-9. PubMed ID: 16384574 [Abstract] [Full Text] [Related]
3. Prediction of retention times of proteins in hydrophobic interaction chromatography using only their amino acid composition. Salgado JC, Rapaport I, Asenjo JA. J Chromatogr A; 2005 Dec 09; 1098(1-2):44-54. PubMed ID: 16314160 [Abstract] [Full Text] [Related]
4. Prediction of the partitioning behaviour of proteins in aqueous two-phase systems using only their amino acid composition. Salgado JC, Andrews BA, Ortuzar MF, Asenjo JA. J Chromatogr A; 2008 Jan 18; 1178(1-2):134-44. PubMed ID: 18082757 [Abstract] [Full Text] [Related]
5. Methods of calculating protein hydrophobicity and their application in developing correlations to predict hydrophobic interaction chromatography retention. Mahn A, Lienqueo ME, Salgado JC. J Chromatogr A; 2009 Mar 06; 1216(10):1838-44. PubMed ID: 19100553 [Abstract] [Full Text] [Related]
6. New approaches for predicting protein retention time in hydrophobic interaction chromatography. Lienqueo ME, Mahn A, Navarro G, Salgado JC, Perez-Acle T, Rapaport I, Asenjo JA. J Mol Recognit; 2006 Mar 06; 19(4):260-9. PubMed ID: 16752432 [Abstract] [Full Text] [Related]
7. Current insights on protein behaviour in hydrophobic interaction chromatography. Lienqueo ME, Mahn A, Salgado JC, Asenjo JA. J Chromatogr B Analyt Technol Biomed Life Sci; 2007 Apr 15; 849(1-2):53-68. PubMed ID: 17141587 [Abstract] [Full Text] [Related]
11. Investigation of protein retention and selectivity in HIC systems using quantitative structure retention relationship models. Ladiwala A, Xia F, Luo Q, Breneman CM, Cramer SM. Biotechnol Bioeng; 2006 Apr 05; 93(5):836-50. PubMed ID: 16276531 [Abstract] [Full Text] [Related]
13. Is it possible to predict the average surface hydrophobicity of a protein using only its amino acid composition? Salgado JC, Rapaport I, Asenjo JA. J Chromatogr A; 2005 May 20; 1075(1-2):133-43. PubMed ID: 15981340 [Abstract] [Full Text] [Related]
14. Mathematical correlations for predicting protein retention times in hydrophobic interaction chromatography. Lienqueo ME, Mahn A, Asenjo JA. J Chromatogr A; 2002 Nov 29; 978(1-2):71-9. PubMed ID: 12458946 [Abstract] [Full Text] [Related]
17. Prediction of protein retention in hydrophobic interaction chromatography. Mahn A, Asenjo JA. Biotechnol Adv; 2005 Jul 29; 23(5):359-68. PubMed ID: 15894452 [Abstract] [Full Text] [Related]
18. Prediction of protein retention times in hydrophobic interaction chromatography by robust statistical characterization of their atomic-level surface properties. Hanke AT, Klijn ME, Verhaert PD, van der Wielen LA, Ottens M, Eppink MH, van de Sandt EJ. Biotechnol Prog; 2016 Mar 29; 32(2):372-81. PubMed ID: 26698169 [Abstract] [Full Text] [Related]
20. Classification of protein adsorption and recovery at low salt conditions in hydrophobic interaction chromatographic systems. Chen J, Luo Q, Breneman CM, Cramer SM. J Chromatogr A; 2007 Jan 19; 1139(2):236-46. PubMed ID: 17126350 [Abstract] [Full Text] [Related] Page: [Next] [New Search]