| FTO-mediated formation of N6-hydroxymethyladenosine and N6-formyladenosine in mammalian RNA Y Fu, G Jia, X Pang, RN Wang, X Wang, CJ Li, S Smemo, Q Dai, ... Nature communications 4 (1), 1798, 2013 | 429 | 2013 |
| Preparation and characterization of dual stimuli-responsive microcapsules with a superparamagnetic porous membrane and thermo-responsive gates WC Yang, R Xie, XQ Pang, XJ Ju, LY Chu Journal of Membrane Science 321 (2), 324-330, 2008 | 87 | 2008 |
| Fast and Effective Ion Mobility–Mass Spectrometry Separation of d-Amino-Acid-Containing Peptides K Jeanne Dit Fouque, A Garabedian, J Porter, M Baird, X Pang, ... Analytical chemistry 89 (21), 11787-11794, 2017 | 80 | 2017 |
| Molecular dynamics simulation reveals preorganization of the chloroplast FtsY towards complex formation induced by GTP binding MJ Yang, XQ Pang, X Zhang, KL Han Journal of Structural Biology 173 (1), 57-66, 2011 | 56 | 2011 |
| Prediction of early childhood obesity with machine learning and electronic health record data X Pang, CB Forrest, F Lê-Scherban, AJ Masino International journal of medical informatics 150, 104454, 2021 | 54 | 2021 |
| Structural characterization of monomers and oligomers of D-amino acid-containing peptides using T-wave ion mobility mass spectrometry X Pang, C Jia, Z Chen, L Li Journal of the American Society for Mass Spectrometry 28 (1), 110-118, 2016 | 30 | 2016 |
| Understanding early childhood obesity via interpretation of machine learning model predictions X Pang, CB Forrest, F Lê-Scherban, AJ Masino 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 25 | 2019 |
| Antagonist binding and induced conformational dynamics of GPCR A2A adenosine receptor X Pang, M Yang, K Han Proteins: Structure, Function, and Bioinformatics 81 (8), 1399-1410, 2013 | 25 | 2013 |
| A simple but effective modeling strategy for structural properties of non‐heme Fe (II) sites in proteins: Test of force field models and application to proteins in the AlkB family X Pang, K Han, Q Cui Journal of Computational Chemistry 34 (19), 1620-1635, 2013 | 15 | 2013 |
| Multiple gas-phase conformations of proline-containing peptides: is it always cis/trans isomerization? CB Lietz, Z Chen, CY Son, X Pang, Q Cui, L Li Analyst 141 (16), 4863-4869, 2016 | 8 | 2016 |
| FTO-mediated formation of N6-hydroxymethyladenosine and N6-formyladenosine in mammalian RNA. Nat Commun. 2013; 4: 1798 Y Fu, G Jia, X Pang, RN Wang, X Wang, CJ Li, S Smemo, Q Dai, ... The authors uncovered new intermediate modifications in the demethylation …, 0 | 6 | |
| Multi-state targeting machinery govern the fidelity and efficiency of protein localization M Yang, X Pang, K Han Protein Conformational Dynamics, 385-409, 2014 | 3 | 2014 |
| toward Quantitative Analysis of Metalloenzyme Function Using MM and Hybrid QM/MM Methods M Gaus, P Goyal, G Hou, X Lu, X Pang, J Zienau, X Xu, M Elstner, Q Cui Molecular Modeling at the Atomic Scale, 33, 2014 | 1 | 2014 |
| GPCR A2AAR Agonist Binding and Induced Conformation Changes of Functional Switches X Pang, J Liu Chinese Journal of Chemical Physics 27 (1), 29-38, 2014 | 1 | 2014 |
| Pediatric acute respiratory syndrome (PARDS) diagnosis with multiple task deep learning predictions with chest X-ray images X Pang, S Bose, ST Sotardi, N Yehya, AJ Masino | | 2021 |
| Early sepsis detection for infants in Intensive Care Unit with time-series forecasting X Pang, AJ Masino | | 2021 |
| Prediction of post-escalation recovery phenotypes in neonates with complex chronic conditions X Pang, S Bose, S Brown, AJ Masino | | 2021 |
| Physiological and communicative emotional disconcordance in children with autism HJN Emma Finkel, John D. Herrington, Liza Tomczuk, Aaron J. Masino, Xueqin ... Emotion, 2021 | | 2021 |
| Trapped Ion Mobility Spectrometry Separation of D-Amino Acid Containing Peptides KJD Fouque, X Pang, D Williams, L Li, A Shvartsburg, F Fernandez-Lima, ... Integrating Supervised/Unsupervised Machine Learning and Molecular Modeling …, 2018 | | 2018 |
| Integrating Ion Mobility Mass Spectrometry, Supervised/Unsupervised Machine Learning and Molecular Modeling: Structural Characterization of D-Amino Acid-Containing Peptides … X Pang, L Li Integrating Supervised/Unsupervised Machine Learning and Molecular Modeling …, 2018 | | 2018 |
Qiang CuiBoston University (previously University of Wisconsin, Madison)Verified email at bu.edu
