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14-3-3-Pred: improved methods to predict 14-3-3-binding phosphopeptides.
Madeira F, Tinti M, Murugesan G, Berrett E, Stafford M, Toth R, Cole C, MacKintosh C, Barton GJ. Madeira F, et al. Among authors: tinti m. Bioinformatics. 2015 Jul 15;31(14):2276-83. doi: 10.1093/bioinformatics/btv133. Epub 2015 Mar 3. Bioinformatics. 2015. PMID: 25735772 Free PMC article.
Deep learning models for predicting RNA degradation via dual crowdsourcing.
Wayment-Steele HK, Kladwang W, Watkins AM, Kim DS, Tunguz B, Reade W, Demkin M, Romano J, Wellington-Oguri R, Nicol JJ, Gao J, Onodera K, Fujikawa K, Mao H, Vandewiele G, Tinti M, Steenwinckel B, Ito T, Noumi T, He S, Ishi K, Lee Y, Öztürk F, Chiu KY, Öztürk E, Amer K, Fares M; Eterna Participants; Das R. Wayment-Steele HK, et al. Among authors: tinti m. Nat Mach Intell. 2022;4(12):1174-1184. doi: 10.1038/s42256-022-00571-8. Epub 2022 Dec 14. Nat Mach Intell. 2022. PMID: 36567960 Free PMC article.
Visualization and biochemical analyses of the emerging mammalian 14-3-3-phosphoproteome.
Johnson C, Tinti M, Wood NT, Campbell DG, Toth R, Dubois F, Geraghty KM, Wong BH, Brown LJ, Tyler J, Gernez A, Chen S, Synowsky S, MacKintosh C. Johnson C, et al. Among authors: tinti m. Mol Cell Proteomics. 2011 Oct;10(10):M110.005751. doi: 10.1074/mcp.M110.005751. Epub 2011 Jul 1. Mol Cell Proteomics. 2011. PMID: 21725060 Free PMC article.
139 results