Trends in kinase drug discovery: targets, indications and inhibitor design

By Misty M. Attwood, D. Fabbro, Aleksandr V Sokolov, S. Knapp, Helgi B. Schiöth. Nature reviews. Drug discovery, 2021

607 citations recorded by the source corpus.

Subfields: Genetics, Hematology, Organic Chemistry

View Paper: https://www.semanticscholar.org/paper/6ad46ef57118d8454d26c62eea6dd3aaac7f47f6

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Citations in the corpus

• Biasing AlphaFold2 to predict GPCRs and kinases with user-defined functional or structural properties (2022, background): “This limitation has important implications for drug discovery, especially for common drug targets such as G-protein-coupled receptors (GPCRs) and kinases, which are known to modulate cellular behavior by switching among multiple structurally different functional states (Attwood et al., 2021; Yang et”
• Deep learning in drug discovery: an integrative review and future challenges (2022, background): “For example, kinase inhibitor combos or single compounds that block several kinases may improve therapeutic efficacy and duration while combating treatment resistance in cancer (Attwood et al. 2021).”