 Connection
Brendan Frett to Neoplasms
This is a "connection" page, showing publications Brendan Frett has written about Neoplasms.
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Connection Strength |
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1.166 |
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Saha D, Ryan KR, Lakkaniga NR, Acharya B, Garcia NG, Smith EL, Frett B. Targeting Rearranged during Transfection in Cancer: A Perspective on Small-Molecule Inhibitors and Their Clinical Development. J Med Chem. 2021 08 26; 64(16):11747-11773.
Score: 0.387
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Frett B, Brown RV, Ma M, Hu W, Han H, Li HY. Therapeutic melting pot of never in mitosis gene a related kinase 2 (Nek2): a perspective on Nek2 as an oncology target and recent advancements in Nek2 small molecule inhibition. J Med Chem. 2014 Jul 24; 57(14):5835-44.
Score: 0.230
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Frett B, Wang Y, Li HY. Targeting the K-Ras/PDEd protein-protein interaction: the solution for Ras-driven cancers or just another therapeutic mirage? ChemMedChem. 2013 Oct; 8(10):1620-2.
Score: 0.222
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Moccia M, Yang D, Lakkaniga NR, Frett B, McConnell N, Zhang L, Brescia A, Federico G, Zhang L, Salerno P, Santoro M, Li HY, Carlomagno F. Targeted activity of the small molecule kinase inhibitor Pz-1 towards RET and TRK kinases. Sci Rep. 2021 08 09; 11(1):16103.
Score: 0.096
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Moccia M, Frett B, Zhang L, Lakkaniga NR, Briggs DC, Chauhan R, Brescia A, Federico G, Yan W, Santoro M, McDonald NQ, Li HY, Carlomagno F. Bioisosteric Discovery of NPA101.3, a Second-Generation RET/VEGFR2 Inhibitor Optimized for Single-Agent Polypharmacology. J Med Chem. 2020 05 14; 63(9):4506-4516.
Score: 0.088
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Yan W, Lakkaniga NR, Carlomagno F, Santoro M, McDonald NQ, Lv F, Gunaganti N, Frett B, Li HY. Insights into Current Tropomyosin Receptor Kinase (TRK) Inhibitors: Development and Clinical Application. J Med Chem. 2019 02 28; 62(4):1731-1760.
Score: 0.079
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Frett B, Carlomagno F, Moccia ML, Brescia A, Federico G, De Falco V, Admire B, Chen Z, Qi W, Santoro M, Li HY. Fragment-Based Discovery of a Dual pan-RET/VEGFR2 Kinase Inhibitor Optimized for Single-Agent Polypharmacology. Angew Chem Int Ed Engl. 2015 Jul 20; 54(30):8717-21.
Score: 0.063
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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