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Yaxiong Sun

Showing results (1-10 of 15) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|November 8, 2022
In Silico Prediction Method for Protein Asparagine DeamidationLei Jia, Yaxiong Sun
Plos One|July 22, 2017
Protein asparagine deamidation prediction based on structures with machine learning methodsLei Jia, Yaxiong Sun
Journal of Chemical Information and Modeling|January 24, 2006
FLAME: a program to flexibly align moleculesSung Jin Cho, Yaxiong Sun
Journal of Computer-Aided Molecular Design|March 14, 2008
Visual exploration of structure-activity relationship using maximum common frameworkSung Jin Cho, Yaxiong Sun
Journal of Chemical Theory and Computation|December 3, 2015
Improving Docking Accuracy through Molecular Mechanics Generalized Born Optimization and ScoringMatthew R Lee, Yaxiong Sun
Antibody Therapeutics|August 15, 2022
Improving antibody thermostability based on statistical analysis of sequence and structural consensus dataLei Jia, Mani Jain, Yaxiong Sun
ACS Medicinal Chemistry Letters|June 6, 2014
De novo prediction of p-glycoprotein-mediated efflux liability for druglike compoundsHakan Gunaydin, Matthew M Weiss, Yaxiong Sun
Journal of Computer-Aided Molecular Design|August 10, 2006
ADAAPT: Amgen's data access, analysis, and prediction toolsSung Jin Cho, Yaxiong Sun, William Harte
Journal of Medicinal Chemistry|October 24, 2007
Three-dimensional quantitative structure-activity relationships and activity predictions of human TRPV1 channel antagonists: comparative molecular field analysis and comparative molecular similarity index analysis of cinnamidesVellarkad N Viswanadhan, Yaxiong Sun, Mark H Norman
Journal of Medicinal Chemistry|May 13, 2010
Analysis of kinase inhibitor selectivity using a thermodynamics-based partition indexAlan C Cheng, John Eksterowicz, Stephanie Geuns-Meyer, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|November 8, 2022
In Silico Prediction Method for Protein Asparagine DeamidationLei Jia, Yaxiong Sun
Plos One|July 22, 2017
Protein asparagine deamidation prediction based on structures with machine learning methodsLei Jia, Yaxiong Sun
Journal of Chemical Information and Modeling|January 24, 2006
FLAME: a program to flexibly align moleculesSung Jin Cho, Yaxiong Sun
Journal of Computer-Aided Molecular Design|March 14, 2008
Visual exploration of structure-activity relationship using maximum common frameworkSung Jin Cho, Yaxiong Sun
Journal of Chemical Theory and Computation|December 3, 2015
Improving Docking Accuracy through Molecular Mechanics Generalized Born Optimization and ScoringMatthew R Lee, Yaxiong Sun
Antibody Therapeutics|August 15, 2022
Improving antibody thermostability based on statistical analysis of sequence and structural consensus dataLei Jia, Mani Jain, Yaxiong Sun
ACS Medicinal Chemistry Letters|June 6, 2014
De novo prediction of p-glycoprotein-mediated efflux liability for druglike compoundsHakan Gunaydin, Matthew M Weiss, Yaxiong Sun
Journal of Computer-Aided Molecular Design|August 10, 2006
ADAAPT: Amgen's data access, analysis, and prediction toolsSung Jin Cho, Yaxiong Sun, William Harte
Journal of Medicinal Chemistry|October 24, 2007
Three-dimensional quantitative structure-activity relationships and activity predictions of human TRPV1 channel antagonists: comparative molecular field analysis and comparative molecular similarity index analysis of cinnamidesVellarkad N Viswanadhan, Yaxiong Sun, Mark H Norman
Journal of Medicinal Chemistry|May 13, 2010
Analysis of kinase inhibitor selectivity using a thermodynamics-based partition indexAlan C Cheng, John Eksterowicz, Stephanie Geuns-Meyer, et al.
Pageof 2