2023
DOI: 10.1021/acs.jcim.3c00097
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Analysis of KRAS–Ligand Interaction Modes and Flexibilities Reveals the Binding Characteristics

Abstract: KRAS, a common human oncogene, has been recognized as a critical drug target in treating multiple cancers. After four decades of effort, one allosteric KRAS drug (Sotorasib) has been approved, inspiring more KRAS-targeted drug research. Here, we provide the features of KRAS binding pockets and ligand-binding characteristics of KRAS complexes using a structural systems pharmacology approach. Three distinct binding sites (conserved nucleotide-binding site, shallow Switch-I/II pocket, and allosteric Switch-II/α3 … Show more

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Cited by 4 publications
(2 citation statements)
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References 49 publications
(107 reference statements)
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“…Briefly, the Fs-IFP method comprises three steps. The first step aligns the ligand-binding sites using a sequence order-independent strategy (SMAP). , The second step converts all the 3D binding site-ligand interaction information into a 1D bit-string representation by encoding molecular interaction fingerprints (IFPs). The IFPs are generated based upon a set of predefined geometric rules (see the Supporting Information) that classify residue-based interactions into seven types: hydrophobic, aromatic (face-to-face), aromatic (edge-to-face), H-bond (protein as donor), H-bond (protein as acceptor), electrostatic (protein positively charged), and electrostatic (protein negatively charged) using the software IChem. , Thus, every residue-ligand interaction is represented by a seven-bit string (Supporting Information), for example, “0001000” where “1” indicates the interaction exists between this residue and ligand, and its fourth position in the seven-bit string shows the interaction is an H-bond (protein as donor). In contrast, “0” means the ligand has no interaction with this residue.…”
mentioning
confidence: 99%
“…Briefly, the Fs-IFP method comprises three steps. The first step aligns the ligand-binding sites using a sequence order-independent strategy (SMAP). , The second step converts all the 3D binding site-ligand interaction information into a 1D bit-string representation by encoding molecular interaction fingerprints (IFPs). The IFPs are generated based upon a set of predefined geometric rules (see the Supporting Information) that classify residue-based interactions into seven types: hydrophobic, aromatic (face-to-face), aromatic (edge-to-face), H-bond (protein as donor), H-bond (protein as acceptor), electrostatic (protein positively charged), and electrostatic (protein negatively charged) using the software IChem. , Thus, every residue-ligand interaction is represented by a seven-bit string (Supporting Information), for example, “0001000” where “1” indicates the interaction exists between this residue and ligand, and its fourth position in the seven-bit string shows the interaction is an H-bond (protein as donor). In contrast, “0” means the ligand has no interaction with this residue.…”
mentioning
confidence: 99%
“…The second step converts all the 3D binding siteligand interaction information into a 1D bit-string representation by encoding molecular interaction fingerprints (IFPs). [39][40][41] The IFPs are generated based upon a set of predefined geometric rules that classify residue-based interactions into seven types: hydrophobic, aromatic (face-to-face), aromatic (edge-to-face), H-bond (protein as donor), H-bond (protein as acceptor), electrostatic (protein positively charged), and electrostatic (protein negatively charged). 39 Thus, 6 every residue-ligand interaction is represented by a seven-bit string, for example, "0001000" where "1" indicates the interaction exists between this residue and ligand, and its fourth position in the seven-bit string shows the interaction is an H-bond (protein as donor).…”
mentioning
confidence: 99%