Structure

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Physi-Chem Properties

Molecular Weight:  300.1
Volume:  302.415
LogP:  3.797
LogD:  2.785
LogS:  -4.055
# Rotatable Bonds:  2
TPSA:  68.9
# H-Bond Aceptor:  5
# H-Bond Donor:  1
# Rings:  3
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.735
Synthetic Accessibility Score:  2.538
Fsp3:  0.235
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.787
MDCK Permeability:  1.8872618966270238e-05
Pgp-inhibitor:  0.017
Pgp-substrate:  0.047
Human Intestinal Absorption (HIA):  0.021
20% Bioavailability (F20%):  0.002
30% Bioavailability (F30%):  0.015

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.03
Plasma Protein Binding (PPB):  86.55510711669922%
Volume Distribution (VD):  0.791
Pgp-substrate:  11.79415512084961%

ADMET: Metabolism

CYP1A2-inhibitor:  0.954
CYP1A2-substrate:  0.977
CYP2C19-inhibitor:  0.724
CYP2C19-substrate:  0.693
CYP2C9-inhibitor:  0.744
CYP2C9-substrate:  0.913
CYP2D6-inhibitor:  0.606
CYP2D6-substrate:  0.903
CYP3A4-inhibitor:  0.412
CYP3A4-substrate:  0.307

ADMET: Excretion

Clearance (CL):  3.204
Half-life (T1/2):  0.343

ADMET: Toxicity

hERG Blockers:  0.007
Human Hepatotoxicity (H-HT):  0.178
Drug-inuced Liver Injury (DILI):  0.859
AMES Toxicity:  0.514
Rat Oral Acute Toxicity:  0.199
Maximum Recommended Daily Dose:  0.403
Skin Sensitization:  0.704
Carcinogencity:  0.043
Eye Corrosion:  0.035
Eye Irritation:  0.947
Respiratory Toxicity:  0.362

Download Data

Data Type Select
General Info & Identifiers & Properties  
Structure MOL file  
Source Organisms  
Biological Activities  
Similar NPs/Drugs  

  Natural Product: NPC100985

Natural Product ID:  NPC100985
Common Name*:   5-Hydroxy-6,8-Dimethoxy-2,3-Dimethylbenzo[G]Chromen-4-One
IUPAC Name:   5-hydroxy-6,8-dimethoxy-2,3-dimethylbenzo[g]chromen-4-one
Synonyms:  
Standard InCHIKey:  FZYRENRMDAPHEM-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C17H16O5/c1-8-9(2)22-13-6-10-5-11(20-3)7-12(21-4)14(10)17(19)15(13)16(8)18/h5-7,19H,1-4H3
SMILES:  COc1cc(OC)cc2c1c(O)c1c(c2)oc(c(c1=O)C)C
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL504766
PubChem CID:   10685604
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0001640] Naphthopyrans
        • [CHEMONTID:0001641] Naphthopyranones

*Note: the InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
**Note: the Chemical Classification was calculated by NPClassifier Version 1.5. Reference: PMID:34662515.

  Species Source

☑ Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  NP Quantity Composition/Concentration

☑ Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].

  Biological Activity

☑ Note for Activity Records:
☉ The quantitative biological activities were primarily integrated from ChEMBL (Version-30) database and were also directly collected from PubMed literature. PubMed PMID was provided as the reference link for each activity record.

  Chemically structural similarity: I. Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes 4,3285 NPs with experimentally-derived bioactivity available in NPASS)

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules. Tc lies between [0, 1] where '1' indicates the highest similarity. What is Tanimoto coefficient

●  The left chart: Distribution of similarity level between NPC100985 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

  Chemically structural similarity: II. Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC100985 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

  Bioactivity similarity: Similar Natural Products in NPASS

Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.

Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data