Structure

Physi-Chem Properties

Molecular Weight:  350.15
Volume:  374.832
LogP:  4.227
LogD:  3.861
LogS:  -3.638
# Rotatable Bonds:  6
TPSA:  69.92
# H-Bond Aceptor:  4
# H-Bond Donor:  3
# Rings:  3
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.623
Synthetic Accessibility Score:  2.218
Fsp3:  0.182
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.084
MDCK Permeability:  1.4676198588858824e-05
Pgp-inhibitor:  0.823
Pgp-substrate:  0.004
Human Intestinal Absorption (HIA):  0.04
20% Bioavailability (F20%):  0.998
30% Bioavailability (F30%):  0.99

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.038
Plasma Protein Binding (PPB):  98.4937515258789%
Volume Distribution (VD):  0.74
Pgp-substrate:  1.3184771537780762%

ADMET: Metabolism

CYP1A2-inhibitor:  0.841
CYP1A2-substrate:  0.857
CYP2C19-inhibitor:  0.973
CYP2C19-substrate:  0.08
CYP2C9-inhibitor:  0.894
CYP2C9-substrate:  0.973
CYP2D6-inhibitor:  0.963
CYP2D6-substrate:  0.911
CYP3A4-inhibitor:  0.713
CYP3A4-substrate:  0.573

ADMET: Excretion

Clearance (CL):  13.05
Half-life (T1/2):  0.913

ADMET: Toxicity

hERG Blockers:  0.217
Human Hepatotoxicity (H-HT):  0.183
Drug-inuced Liver Injury (DILI):  0.029
AMES Toxicity:  0.078
Rat Oral Acute Toxicity:  0.098
Maximum Recommended Daily Dose:  0.71
Skin Sensitization:  0.943
Carcinogencity:  0.052
Eye Corrosion:  0.003
Eye Irritation:  0.892
Respiratory Toxicity:  0.06

Download Data

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

  Natural Product: NPC210881

Natural Product ID:  NPC210881
Common Name*:   BVFRTQOQLFIUFZ-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  BVFRTQOQLFIUFZ-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C22H22O4/c1-26-22-14-17(6-5-15-3-2-4-19(24)11-15)13-21(25)20(22)12-16-7-9-18(23)10-8-16/h2-4,7-11,13-14,23-25H,5-6,12H2,1H3
SMILES:  COc1cc(CCc2cccc(c2)O)cc(c1Cc1ccc(cc1)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   102316541
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0002650] Diarylheptanoids
        • [CHEMONTID:0002651] Linear diarylheptanoids

*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

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota n.a. n.a. n.a. PMID[1402962]
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. n.a. n.a. PMID[15921416]
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. subtidal zone (0-2 m) off the southwestern shore of Jeju Island, Korea 2003-Apr PMID[18817444]
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. n.a. n.a. PMID[19006667]
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. n.a. n.a. PMID[21377877]
NPO20398 Niphates digitalis Species Niphatidae Eukaryota n.a. n.a. n.a. PMID[22148427]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota Flower Buds n.a. n.a. PMID[26977531]
NPO7428 Bletilla formosana Species Orchidaceae Eukaryota Rhizomes n.a. n.a. PMID[27525452]
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. n.a. n.a. PMID[28720331]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota n.a. n.a. n.a. PMID[8904847]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota Bark n.a. n.a. Database[FooDB]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota Essential Oil n.a. n.a. Database[FooDB]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota Stem n.a. n.a. Database[FooDB]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota n.a. n.a. Database[FooDB]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota n.a. n.a. Database[FooDB]
NPO7428 Bletilla formosana Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO7428 Bletilla formosana Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO2563 Marah oregana Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7722 Amsonia tabernaemontana Species Apocynaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11479 Sargassum siliquastrum Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15591 Tolpis webbii Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3987 Syzygium aromaticum Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9690 Sisymbrium austriacum Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4664 Pteris vittata Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3116 Clathria pyramida Species Microcionidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7428 Bletilla formosana Species Orchidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8787 Ariocarpus scapharostrus Species Cactaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20398 Niphates digitalis Species Niphatidae Eukaryota n.a. n.a. n.a. Database[UNPD]

☑ 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

Organism ID NP ID Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

☑ 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

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT20529 NON-MOLECULAR NON-PROTEIN TARGET n.a. IC50 = 2200.0 nM PMID[27525452]
NPT20529 NON-MOLECULAR NON-PROTEIN TARGET n.a. IC50 = 900.0 nM PMID[27525452]

☑ 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 NPC210881 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.56 or Top200).

Similarity Score Similarity Level Natural Product ID

  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 NPC210881 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.56 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage

  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