ID: ALA5288201

Chembl Id: CHEMBL5288201

Max Phase: Preclinical

Molecular Formula: C15H12N2O

Molecular Weight: 236.27

Associated Items:

Names and Identifiers

Canonical SMILES:  Cn1c(=O)n(C)c2ccc3ccc4ccc1c2c43

Standard InChI:  InChI=1S/C15H12N2O/c1-16-11-7-5-9-3-4-10-6-8-12(14(11)13(9)10)17(2)15(16)18/h3-8H,1-2H3

Standard InChI Key:  FMSQVMMNJBNNML-UHFFFAOYSA-N

Alternative Forms

  1. Parent:

    ALA5288201

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Associated Targets(Human)

PIK3CG Tclin PI3-kinase p110-gamma subunit (5411 Activities)
Activity TypeRelationActivity valueUnitsAction TypeJournalPubMed IddoiAssay Aladdin ID
PIK3CA Tclin PI3-kinase p110-alpha subunit (12269 Activities)
Activity TypeRelationActivity valueUnitsAction TypeJournalPubMed IddoiAssay Aladdin ID
PIK3CB Tchem PI3-kinase p110-beta subunit (4044 Activities)
Activity TypeRelationActivity valueUnitsAction TypeJournalPubMed IddoiAssay Aladdin ID
PIK3CD Tclin PI3-kinase p110-delta subunit (6699 Activities)
Activity TypeRelationActivity valueUnitsAction TypeJournalPubMed IddoiAssay Aladdin ID

Associated Targets(non-human)

Pik3cg Phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit gamma isoform (160 Activities)
Activity TypeRelationActivity valueUnitsAction TypeJournalPubMed IddoiAssay Aladdin ID

Molecule Features

Natural Product: NoOral: NoChemical Probe: NoParenteral: No
Molecule Type: Topical: NoFirst In Class: NoBlack Box: No
Chirality: NoAvailability: NoProdrug: No

Drug Indications

MESH IDMESH Heading EFO IDsEFO TermsMax Phase for IndicationReferences

Mechanisms of Action

Mechanism of ActionAction Typetarget IDTarget NameTarget TypeTarget OrganismBinding Site NameReferences

Calculated Properties

Molecular Weight: 236.27Molecular Weight (Monoisotopic): 236.0950AlogP: 2.62#Rotatable Bonds: 0
Polar Surface Area: 26.93Molecular Species: NEUTRALHBA: 3HBD: 0
#RO5 Violations: 0HBA (Lipinski): 3HBD (Lipinski): 0#RO5 Violations (Lipinski): 0
CX Acidic pKa: CX Basic pKa: CX LogP: 2.59CX LogD: 2.59
Aromatic Rings: 4Heavy Atoms: 18QED Weighted: 0.46Np Likeness Score: -0.34

References

1. Jiang Y, Xiong W, Jia L, Xu L, Cai Y, Chen Y, Jin J, Gao M, Zhu J..  (2022)  Developing a Naïve Bayesian Classification Model with PI3Kγ structural features for virtual screening against PI3Kγ: Combining molecular docking and pharmacophore based on multiple PI3Kγ conformations.,  244  [PMID:36257282] [10.1016/j.ejmech.2022.114824]

Source