| Novel findings from a metabolomics study of left ventricular diastolic function: the Bogalusa Heart Study AC Razavi, LA Bazzano, J He, C Fernandez, SP Whelton, ... Journal of the American Heart Association 9 (3), e015118, 2020 | 32 | 2020 |
| Inhibition of lung microbiota-derived proapoptotic peptides ameliorates acute exacerbation of pulmonary fibrosis CN D’Alessandro-Gabazza, T Yasuma, T Kobayashi, M Toda, ... Nature communications 13 (1), 1-23, 2022 | 24 | 2022 |
| An untargeted metabolomics study of blood pressure: findings from the Bogalusa Heart Study WJ He, C Li, X Mi, M Shi, X Gu, LA Bazzano, AC Razavi, JL Nierenberg, ... Journal of Hypertension 38 (7), 1302-1311, 2020 | 24 | 2020 |
| Insights from a large-scale whole-genome sequencing study of systolic blood pressure, diastolic blood pressure, and hypertension TN Kelly, X Sun, KY He, MR Brown, SAG Taliun, JN Hellwege, MR Irvin, ... Hypertension 79 (8), 1656-1667, 2022 | 14 | 2022 |
| Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium BM Lin, KE Grinde, JA Brody, CE Breeze, LM Raffield, JC Mychaleckyj, ... EBioMedicine 63, 103157, 2021 | 14 | 2021 |
| Serum metabolites associate with physical performance among middle-aged adults: Evidence from the Bogalusa Heart Study JL Nierenberg, J He, C Li, X Gu, M Shi, AC Razavi, X Mi, S Li, LA Bazzano, ... Aging (Albany NY) 12 (12), 11914, 2020 | 14 | 2020 |
| Novel associations between blood metabolites and kidney function among Bogalusa Heart Study and Multi-Ethnic Study of Atherosclerosis participants JL Nierenberg, J He, C Li, X Gu, M Shi, AC Razavi, X Mi, S Li, LA Bazzano, ... Metabolomics 15 (12), 1-11, 2019 | 13 | 2019 |
| Novel serum metabolites associate with cognition phenotypes among Bogalusa Heart Study participants M Shi, LA Bazzano, J He, X Gu, C Li, S Li, K Yaffe, JM Kinchen, P Stuchlik, ... Aging (Albany NY) 11 (14), 5124, 2019 | 13 | 2019 |
| Predicting the Activities of Drug Excipients on Biological Targets using One-Shot Learning X Mi, D Shukla The Journal of Physical Chemistry B 126 (7), 1492-1503, 2022 | 8 | 2022 |
| Whole-exome sequencing study identifies four novel gene loci associated with diabetic kidney disease Y Pan, X Sun, X Mi, Z Huang, Y Hsu, JE Hixson, D Munzy, G Metcalf, ... Human Molecular Genetics, 2022 | 4 | 2022 |
| Sequence controlled secondary structure is important for the site-selectivity of lanthipeptide cyclization X Mi, EK Desormeaux, TT Le, WA van der Donk, D Shukla Chemical Science, 2023 | 3 | 2023 |
| Statistical issues on analysis of censored data due to detection limit H He, X Mi, W Tang Int J Stat Probab 9 (4), 49-61, 2020 | 3 | 2020 |
| Leveraging Machine Learning Models for Peptide-Protein Interaction Prediction S Yin, X Mi, D Shukla arXiv preprint arXiv:2310.18249, 2023 | 1 | 2023 |
| Substrate Prediction for RiPP Biosynthetic Enzymes via Masked Language Modeling and Transfer Learning JD Clark, X Mi, DA Mitchell, D Shukla arXiv preprint arXiv:2402.15181, 2024 | | 2024 |
| How do lasso peptides fold? X Mi, D Shukla Biophysical Journal 123 (3), 546a, 2024 | | 2024 |
| Sequence Controlled Secondary Structure Determines Site-selectivity of Lanthipeptides X Mi, EK Desormeaux, T Le, W van der Donk, D Shukla bioRxiv, 2022 | | 2022 |
