Structure

Physi-Chem Properties

Molecular Weight:  610.13
Volume:  573.443
LogP:  2.518
LogD:  1.969
LogS:  -4.509
# Rotatable Bonds:  8
TPSA:  236.81
# H-Bond Aceptor:  14
# H-Bond Donor:  8
# Rings:  5
# Heavy Atoms:  14

MedChem Properties

QED Drug-Likeness Score:  0.084
Synthetic Accessibility Score:  4.254
Fsp3:  0.2
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Rejected
Chelating Alert:  1
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -6.298
MDCK Permeability:  1.0218025636277162e-05
Pgp-inhibitor:  0.005
Pgp-substrate:  0.601
Human Intestinal Absorption (HIA):  0.238
20% Bioavailability (F20%):  0.186
30% Bioavailability (F30%):  0.998

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.014
Plasma Protein Binding (PPB):  98.05609893798828%
Volume Distribution (VD):  0.585
Pgp-substrate:  5.71964168548584%

ADMET: Metabolism

CYP1A2-inhibitor:  0.415
CYP1A2-substrate:  0.024
CYP2C19-inhibitor:  0.131
CYP2C19-substrate:  0.041
CYP2C9-inhibitor:  0.631
CYP2C9-substrate:  0.726
CYP2D6-inhibitor:  0.524
CYP2D6-substrate:  0.194
CYP3A4-inhibitor:  0.262
CYP3A4-substrate:  0.026

ADMET: Excretion

Clearance (CL):  5.243
Half-life (T1/2):  0.889

ADMET: Toxicity

hERG Blockers:  0.077
Human Hepatotoxicity (H-HT):  0.139
Drug-inuced Liver Injury (DILI):  0.979
AMES Toxicity:  0.807
Rat Oral Acute Toxicity:  0.098
Maximum Recommended Daily Dose:  0.046
Skin Sensitization:  0.936
Carcinogencity:  0.176
Eye Corrosion:  0.003
Eye Irritation:  0.369
Respiratory Toxicity:  0.014

Download Data

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

  Natural Product: NPC200324

Natural Product ID:  NPC200324
Common Name*:   NBAZENYUDPJQIH-JUTLVVRMSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  NBAZENYUDPJQIH-JUTLVVRMSA-N
Standard InCHI:  InChI=1S/C30H26O14/c31-15-5-1-13(2-6-15)3-8-22(36)41-12-21-24(37)26(39)27(40)30(43-21)44-29-25(38)23-19(35)10-16(32)11-20(23)42-28(29)14-4-7-17(33)18(34)9-14/h1-11,21,24,26-27,30-35,37,39-40H,12H2/b8-3+/t21-,24-,26?,27?,30+/m1/s1
SMILES:  c1cc(ccc1/C=C/C(=O)OC[C@@H]1[C@H](C(C([C@@H](O1)Oc1c(=O)c2c(cc(cc2oc1c1ccc(c(c1)O)O)O)O)O)O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   44259193
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000261] Phenylpropanoids and polyketides
      • [CHEMONTID:0000334] Flavonoids
        • [CHEMONTID:0001111] Flavonoid glycosides
          • [CHEMONTID:0001583] Flavonoid O-glycosides
            • [CHEMONTID:0003678] Flavonoid 3-O-p-coumaroyl glycosides

*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
NPO454 Helianthus annuus Species Asteraceae Eukaryota n.a. small food enterprises (Zvijezda d.d., Zagreb, Croatia) n.a. DOI[10.1002/EJLT.200900231]
NPO9445 Crocus sativus Species Iridaceae Eukaryota n.a. n.a. n.a. DOI[10.1002/hlca.19270100148]
NPO454 Helianthus annuus Species Asteraceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s11746-997-0093-1]
NPO9445 Crocus sativus Species Iridaceae Eukaryota Petals n.a. n.a. PMID[15043425]
NPO454 Helianthus annuus Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[16660462]
NPO454 Helianthus annuus Species Asteraceae Eukaryota flower petals n.a. n.a. PMID[17480100]
NPO454 Helianthus annuus Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[22537213]
NPO9445 Crocus sativus Species Iridaceae Eukaryota n.a. n.a. n.a. PMID[24338885]
NPO454 Helianthus annuus Species Asteraceae Eukaryota Flowers n.a. n.a. PMID[6361218]
NPO454 Helianthus annuus Species Asteraceae Eukaryota Root n.a. n.a. Database[FooDB]
NPO454 Helianthus annuus Species Asteraceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO454 Helianthus annuus Species Asteraceae Eukaryota Shoot n.a. n.a. Database[FooDB]
NPO9445 Crocus sativus Species Iridaceae Eukaryota Silk Stigma Style n.a. n.a. Database[FooDB]
NPO9445 Crocus sativus Species Iridaceae Eukaryota n.a. n.a. Database[FooDB]
NPO454 Helianthus annuus Species Asteraceae Eukaryota n.a. n.a. Database[FooDB]
NPO9445 Crocus sativus Species Iridaceae Eukaryota n.a. n.a. Database[FooDB]
NPO454 Helianthus annuus Species Asteraceae Eukaryota n.a. n.a. Database[FooDB]
NPO454 Helianthus annuus Species Asteraceae Eukaryota Flower n.a. n.a. Database[FooDB]
NPO454 Helianthus annuus Species Asteraceae Eukaryota Flower Essent. Oil n.a. n.a. Database[FooDB]
NPO454 Helianthus annuus Species Asteraceae Eukaryota Leaf n.a. n.a. Database[FooDB]
NPO454 Helianthus annuus Species Asteraceae Eukaryota Oil n.a. n.a. Database[FooDB]
NPO454 Helianthus annuus Species Asteraceae Eukaryota Pericarp n.a. n.a. Database[FooDB]
NPO454 Helianthus annuus Species Asteraceae Eukaryota Pollen Or Spore n.a. n.a. Database[FooDB]
NPO9445 Crocus sativus Species Iridaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO454 Helianthus annuus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15308 Stigma croci n.a. n.a. n.a. n.a. n.a. n.a. Database[HerDing]
NPO9445 Crocus sativus Species Iridaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15308 Stigma croci n.a. n.a. n.a. n.a. n.a. n.a. Database[TCMID]
NPO454 Helianthus annuus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO454 Helianthus annuus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9445 Crocus sativus Species Iridaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9445 Crocus sativus Species Iridaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO9445 Crocus sativus Species Iridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO454 Helianthus annuus Species Asteraceae 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

☑ 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 NPC200324 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 NPC200324 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