M
Minghu Song
Researcher at University of Connecticut
Publications - 26
Citations - 1027
Minghu Song is an academic researcher from University of Connecticut. The author has contributed to research in topics: Nearest neighbor search & Signal processing. The author has an hindex of 12, co-authored 24 publications receiving 966 citations. Previous affiliations of Minghu Song include Rensselaer Polytechnic Institute & Pfizer.
Papers
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Journal Article
Dimensionality reduction via sparse support vector machines
TL;DR: The method constructs a series of sparse linear SVMs to generate linear models that can generalize well, and uses a subset of nonzero weighted variables found by the linear models to produce a final nonlinear model.
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Prediction of protein retention times in anion-exchange chromatography systems using support vector regression.
Minghu Song,Curt M. Breneman,Jinbo Bi,Nagamani Sukumar,Kristin P. Bennett,Steven M. Cramer,Nihal Tugcu +6 more
TL;DR: In this paper, the authors developed a quantitative structure-retention relationship (QSRR) model for the prediction of protein retention times in anion-exchange chromatography systems.
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Development and evaluation of an in silico model for hERG binding.
Minghu Song,Matthew Clark +1 more
TL;DR: The hierarchical clustering and dendrogram results show that the compound series with the best prediction has much higher structural similarity and more neighbors of training compounds than the other two compound series, demonstrating the predictive scope of the model.
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A mass spectrometry study of tirapazamine and its metabolites: Insights into the mechanism of metabolic transformations and the characterization of reaction intermediates
Dmitri V. Zagorevskii,Minghu Song,Curt M. Breneman,Yang Yuan,Tarra Fuchs,Kent S. Gates,C. Michael Greenlief +6 more
TL;DR: In this article, the authors used tandem mass spectrometers to study the sites of protonation and for identification of 3-amino-1,2,4-benzotriazine 1, 4-dioxide and its metabolites.
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Prediction of the effect of mobile-phase salt type on protein retention and selectivity in anion exchange systems.
Nihal Tugcu,Minghu Song,Curt M. Breneman,Nagamani Sukumar,Kristin P. Bennett,Steven M. Cramer +5 more
TL;DR: interpretation of the models revealed that particular trends for proteins and salts could be captured using QSRR techniques, although various specific effects could also be observed.