Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283710068> ?p ?o ?g. }
- W4283710068 abstract "The nonstructural protein 3 (NSP3) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) contains a conserved macrodomain enzyme (Mac1) that is critical for pathogenesis and lethality. While small molecule inhibitors of Mac1 have great therapeutic potential, at the outset of the COVID-19 pandemic there were no well-validated inhibitors for this protein nor, indeed, the macrodomain enzyme family, making this target a pharmacological orphan. Here, we report the structure-based discovery and development of several different chemical scaffolds exhibiting low- to sub-micromolar affinity for Mac1 through iterations of computer-aided design, structural characterization by ultra-high resolution protein crystallography, and binding evaluation. Potent scaffolds were designed with in silico fragment linkage and by ultra-large library docking of over 450 million molecules. Both techniques leverage the computational exploration of tangible chemical space and are applicable to other pharmacological orphans. Overall, 160 ligands in 119 different scaffolds were discovered, and 152 Mac1-ligand complex crystal structures were determined, typically to 1 Å resolution or better. Our analyses discovered selective and cell-permeable molecules, unexpected ligand-mediated protein dynamics within the active site, and key inhibitor motifs that will template future drug development against Mac1." @default.
- W4283710068 created "2022-06-30" @default.
- W4283710068 creator A5004882440 @default.
- W4283710068 creator A5006999859 @default.
- W4283710068 creator A5007519527 @default.
- W4283710068 creator A5008682575 @default.
- W4283710068 creator A5013432797 @default.
- W4283710068 creator A5021767059 @default.
- W4283710068 creator A5035626904 @default.
- W4283710068 creator A5036935582 @default.
- W4283710068 creator A5037375741 @default.
- W4283710068 creator A5045251169 @default.
- W4283710068 creator A5047728346 @default.
- W4283710068 creator A5049566352 @default.
- W4283710068 creator A5051355898 @default.
- W4283710068 creator A5053175144 @default.
- W4283710068 creator A5054045417 @default.
- W4283710068 creator A5058973407 @default.
- W4283710068 creator A5064057534 @default.
- W4283710068 creator A5067529915 @default.
- W4283710068 creator A5068434124 @default.
- W4283710068 creator A5080798998 @default.
- W4283710068 creator A5081567203 @default.
- W4283710068 creator A5089988446 @default.
- W4283710068 date "2022-06-28" @default.
- W4283710068 modified "2023-09-26" @default.
- W4283710068 title "Iterative computational design and crystallographic screening identifies potent inhibitors targeting the Nsp3 Macrodomain of SARS-CoV-2" @default.
- W4283710068 cites W1757990252 @default.
- W4283710068 cites W1970995808 @default.
- W4283710068 cites W1972091733 @default.
- W4283710068 cites W1979046104 @default.
- W4283710068 cites W2000350990 @default.
- W4283710068 cites W2031168104 @default.
- W4283710068 cites W2058835307 @default.
- W4283710068 cites W2063622629 @default.
- W4283710068 cites W2074631079 @default.
- W4283710068 cites W2077392616 @default.
- W4283710068 cites W2098167941 @default.
- W4283710068 cites W2108921801 @default.
- W4283710068 cites W2108959691 @default.
- W4283710068 cites W2110808180 @default.
- W4283710068 cites W2113904137 @default.
- W4283710068 cites W2124026197 @default.
- W4283710068 cites W2142182637 @default.
- W4283710068 cites W2147993766 @default.
- W4283710068 cites W2154197653 @default.
- W4283710068 cites W2154670681 @default.
- W4283710068 cites W2330799739 @default.
- W4283710068 cites W2333149052 @default.
- W4283710068 cites W2557523570 @default.
- W4283710068 cites W2566883605 @default.
- W4283710068 cites W2585341756 @default.
- W4283710068 cites W2593038646 @default.
- W4283710068 cites W2604418577 @default.
- W4283710068 cites W2761766456 @default.
- W4283710068 cites W2912171584 @default.
- W4283710068 cites W3013667857 @default.
- W4283710068 cites W3037578277 @default.
- W4283710068 cites W3043662389 @default.
- W4283710068 cites W3092705559 @default.
- W4283710068 cites W3094640617 @default.
- W4283710068 cites W3095507416 @default.
- W4283710068 cites W3105944734 @default.
- W4283710068 cites W3108672827 @default.
- W4283710068 cites W3126031592 @default.
- W4283710068 cites W3154018702 @default.
- W4283710068 cites W3164228053 @default.
- W4283710068 cites W3191046015 @default.
- W4283710068 cites W3197817556 @default.
- W4283710068 cites W3201539868 @default.
- W4283710068 cites W3201551509 @default.
- W4283710068 cites W3212145394 @default.
- W4283710068 cites W3217125281 @default.
- W4283710068 cites W4200193829 @default.
- W4283710068 cites W4206756424 @default.
- W4283710068 cites W4206953478 @default.
- W4283710068 cites W4210438208 @default.
- W4283710068 cites W4235946121 @default.
- W4283710068 cites W4248872320 @default.
- W4283710068 cites W4280494607 @default.
- W4283710068 cites W4280592269 @default.
- W4283710068 cites W4281758155 @default.
- W4283710068 cites W4281954970 @default.
- W4283710068 cites W4295679050 @default.
- W4283710068 doi "https://doi.org/10.1101/2022.06.27.497816" @default.
- W4283710068 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35794891" @default.
- W4283710068 hasPublicationYear "2022" @default.
- W4283710068 type Work @default.
- W4283710068 citedByCount "3" @default.
- W4283710068 countsByYear W42837100682022 @default.
- W4283710068 countsByYear W42837100682023 @default.
- W4283710068 crossrefType "posted-content" @default.
- W4283710068 hasAuthorship W4283710068A5004882440 @default.
- W4283710068 hasAuthorship W4283710068A5006999859 @default.
- W4283710068 hasAuthorship W4283710068A5007519527 @default.
- W4283710068 hasAuthorship W4283710068A5008682575 @default.
- W4283710068 hasAuthorship W4283710068A5013432797 @default.
- W4283710068 hasAuthorship W4283710068A5021767059 @default.
- W4283710068 hasAuthorship W4283710068A5035626904 @default.
- W4283710068 hasAuthorship W4283710068A5036935582 @default.