Quantitative Prediction of logk of Peptides in High-Performance Liquid Chromatography Based on Molecular Descriptors by Using the Heuristic Method and Support Vector Machine-Reference-Cited by-同舟云学术

Quantitative Prediction of logk of Peptides in High-Performance Liquid Chromatography Based on Molecular Descriptors by Using the Heuristic Method and Support Vector Machine

Published:2004-08-31 Issue:6 Volume:44 Page:1979-1986
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Liu H. X.¹,Xue C. X.¹,Zhang R. S.¹,Yao X. J.¹,Liu M. C.¹,Hu Z. D.¹,Fan B. T.¹

Affiliation:

1. Departments of Chemistry and Department of Computer Science, Lanzhou University, Lanzhou 730000, China, and Université Paris 7-Denis Diderot, ITODYS 1, Rue Guy de la Brosse, 75005 Paris, France

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci049891a

Reference36 articles.

1. An Automated Multidimensional Protein Identification Technology for Shotgun Proteomics

2. Recent advances in capillary electrophoresis and capillary electrochromatography of peptides

3. Applications of preparative high-performance liquid chromatography to the separation and purification of peptides and proteins

4. Comparative prediction of the retention behaviour of small peptides in several reversed-phase high-performance liquid chromatography columns by using partial least squares and multiple linear regression

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