Literature DB >> 19100553

Methods of calculating protein hydrophobicity and their application in developing correlations to predict hydrophobic interaction chromatography retention.

Andrea Mahn1, M Elena Lienqueo, J Cristian Salgado.   

Abstract

Hydrophobic interaction chromatography (HIC) is a key technique for protein separation and purification. Different methodologies to estimate the hydrophobicity of a protein are reviewed, which have been related to the chromatographic behavior of proteins in HIC. These methodologies consider either knowledge of the three-dimensional structure or the amino acid composition of proteins. Despite some restrictions; they have proven to be useful in predicting protein retention time in HIC.

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Year:  2008        PMID: 19100553     DOI: 10.1016/j.chroma.2008.11.089

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  7 in total

1.  Hydrophilicity matching - a potential prerequisite for the formation of protein-protein complexes in the cell.

Authors:  Mario Hlevnjak; Gordan Zitkovic; Bojan Zagrovic
Journal:  PLoS One       Date:  2010-06-17       Impact factor: 3.240

Review 2.  Preparative purification of recombinant proteins: current status and future trends.

Authors:  Mayank Saraswat; Luca Musante; Alessandra Ravidá; Brian Shortt; Barry Byrne; Harry Holthofer
Journal:  Biomed Res Int       Date:  2013-12-17       Impact factor: 3.411

3.  Semi-automated hydrophobic interaction chromatography column scouting used in the two-step purification of recombinant green fluorescent protein.

Authors:  Orrin J Stone; Kelly M Biette; Patrick J M Murphy
Journal:  PLoS One       Date:  2014-09-25       Impact factor: 3.240

4.  SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences.

Authors:  Anthony Mackitz Dzisoo; Juanjuan Kang; Pengcheng Yao; Benjamin Klugah-Brown; Birga Anteneh Mengesha; Jian Huang
Journal:  Biomed Res Int       Date:  2020-06-02       Impact factor: 3.411

5.  Pocket2Drug: An Encoder-Decoder Deep Neural Network for the Target-Based Drug Design.

Authors:  Wentao Shi; Manali Singha; Gopal Srivastava; Limeng Pu; J Ramanujam; Michal Brylinski
Journal:  Front Pharmacol       Date:  2022-03-11       Impact factor: 5.810

6.  SSH2.0: A Better Tool for Predicting the Hydrophobic Interaction Risk of Monoclonal Antibody.

Authors:  Yuwei Zhou; Shiyang Xie; Yue Yang; Lixu Jiang; Siqi Liu; Wei Li; Hamza Bukari Abagna; Lin Ning; Jian Huang
Journal:  Front Genet       Date:  2022-03-15       Impact factor: 4.599

7.  Comparison of hydrophobicity scales for predicting biophysical properties of antibodies.

Authors:  Franz Waibl; Monica L Fernández-Quintero; Florian S Wedl; Hubert Kettenberger; Guy Georges; Klaus R Liedl
Journal:  Front Mol Biosci       Date:  2022-08-31
  7 in total

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