Cell-penetrating peptides: classes, origin, and current landscape F Milletti Drug Discovery Today, 2012 | 1012 | 2012 |
KTE-X19 for relapsed or refractory adult B-cell acute lymphoblastic leukaemia: phase 2 results of the single-arm, open-label, multicentre ZUMA-3 study BD Shah, A Ghobadi, OO Oluwole, AC Logan, N Boissel, RD Cassaday, ... The Lancet 398 (10299), 491-502, 2021 | 457 | 2021 |
New and original p K a prediction method using grid molecular interaction fields F Milletti, L Storchi, G Sforna, G Cruciani Journal of chemical information and modeling 47 (6), 2172-2181, 2007 | 332 | 2007 |
Progress in the prediction of pKa values in proteins E Alexov, EL Mehler, N Baker, A M. Baptista, Y Huang, F Milletti, ... Proteins: structure, function, and bioinformatics 79 (12), 3260-3275, 2011 | 278 | 2011 |
Axicabtagene ciloleucel as first-line therapy in high-risk large B-cell lymphoma: the phase 2 ZUMA-12 trial SS Neelapu, M Dickinson, J Munoz, ML Ulrickson, C Thieblemont, ... Nature medicine 28 (4), 735-742, 2022 | 192 | 2022 |
Targeting NOTCH activation in small cell lung cancer through LSD1 inhibition A Augert, E Eastwood, AH Ibrahim, N Wu, E Grunblatt, R Basom, D Liggitt, ... Science signaling 12 (567), eaau2922, 2019 | 179 | 2019 |
Tautomer enumeration and stability prediction for virtual screening on large chemical databases F Milletti, L Storchi, G Sforna, S Cross, G Cruciani Journal of chemical information and modeling 49 (1), 68-75, 2009 | 155 | 2009 |
Predicting polypharmacology by binding site similarity: from kinases to the protein universe F Milletti, A Vulpetti Journal of chemical information and modeling 50 (8), 1418-1431, 2010 | 123 | 2010 |
Extending pKa prediction accuracy: high-throughput pKa measurements to understand pKa modulation of new chemical series F Milletti, L Storchi, L Goracci, S Bendels, B Wagner, M Kansy, G Cruciani European journal of medicinal chemistry 45 (9), 4270-4279, 2010 | 121 | 2010 |
Computational tools for polypharmacology and repurposing J Achenbach, P Tiikkainen, L Franke, E Proschak Future medicinal chemistry 3 (8), 961-968, 2011 | 92 | 2011 |
In silico pKa Prediction and ADME Profiling G Cruciani, F Milletti, L Storchi, G Sforna, L Goracci Chemistry & Biodiversity 6 (11), 1812-1821, 2009 | 88 | 2009 |
Tautomer preference in PDB complexes and its impact on structure-based drug discovery F Milletti, A Vulpetti Journal of chemical information and modeling 50 (6), 1062-1074, 2010 | 79 | 2010 |
CD19-loss with preservation of other B cell lineage features in patients with large B cell lymphoma who relapsed post-axi-cel SS Neelapu, JM Rossi, CA Jacobson, FL Locke, DB Miklos, PM Reagan, ... Blood 134, 203, 2019 | 73 | 2019 |
Interim analysis of ZUMA-12: a phase 2 study of axicabtagene ciloleucel (Axi-Cel) as first-line therapy in patients (Pts) with high-risk large B cell lymphoma (LBCL) SS Neelapu, M Dickinson, ML Ulrickson, OO Oluwole, AF Herrera, ... Blood 136, 49, 2020 | 54 | 2020 |
Identification of short hydrophobic cell-penetrating peptides for cytosolic peptide delivery by rational design S Schmidt, MJW Adjobo-Hermans, R Kohze, T Enderle, R Brock, F Milletti Bioconjugate Chemistry 28 (2), 382-389, 2017 | 44 | 2017 |
Detecting cytosolic peptide delivery with the GFP complementation assay in the low micromolar range S Schmidt, MJW Adjobo‐Hermans, R Wallbrecher, WPR Verdurmen, ... Angewandte Chemie International Edition 54 (50), 15105-15108, 2015 | 43 | 2015 |
Chemogenomics in drug discovery: computational methods based on the comparison of binding sites A Vulpetti, T Kalliokoski, F Milletti Future medicinal chemistry 4 (15), 1971-1979, 2012 | 39 | 2012 |
Regulatory T-cell genes drive altered immune microenvironment in adult solid cancers and allow for immune contextual patient subtyping J Brouwer-Visser, WY Cheng, A Bauer-Mehren, D Maisel, K Lechner, ... Cancer Epidemiology, Biomarkers & Prevention 27 (1), 103-112, 2018 | 31 | 2018 |
Targeted kinase selectivity from kinase profiling data F Milletti, JC Hermann ACS Medicinal Chemistry Letters 3 (5), 383-386, 2012 | 26 | 2012 |
Predicting protein pKa by environment similarity F Milletti, L Storchi, G Cruciani Proteins: Structure, Function, and Bioinformatics 76 (2), 484-495, 2009 | 24 | 2009 |