Literature DB >> 14570211

Prediction of the effect of mobile-phase salt type on protein retention and selectivity in anion exchange systems.

Nihal Tugcu1, Minghu Song, Curt M Breneman, N Sukumar, Kristin P Bennett, Steven M Cramer.   

Abstract

This study examines the effect of different salt types on protein retention and selectivity in anion exchange systems. Particularly, linear retention data for various proteins were obtained on two structurally different anion exchange stationary-phase materials in the presence of three salts with different counterions. The data indicated that the effects are, for the most part, nonspecific, although various specific effects could also be observed. Quantitative structure retention relationship (QSRR) models based on support vector machine feature selection and regression models were developed using the experimental chromatographic data in conjunction with various molecular descriptors computed from protein crystal structure geometries. Star plots for each descriptor used in the final model were generated to aid in interpretation. The resulting QSRR models were predictive, with cross-validated r2 values of 0.9445, 0.9676, and 0.8897 for Source 15Q and 0.9561, 0.9876, and 0.9760 for Q Sepharose resins in the presence of three different salts. The predictive power of these models was validated using a set of test proteins that were not used in the generation of these models. Interpretation of the models revealed that particular trends for proteins and salts could be captured using QSRR techniques.

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Year:  2003        PMID: 14570211     DOI: 10.1021/ac0263519

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  2 in total

1.  QSAR and classification models of a novel series of COX-2 selective inhibitors: 1,5-diarylimidazoles based on support vector machines.

Authors:  H X Liu; R S Zhang; X J Yao; M C Liu; Z D Hu; B T Fan
Journal:  J Comput Aided Mol Des       Date:  2004-06       Impact factor: 3.686

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

  2 in total

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