Structure

Physi-Chem Properties

Molecular Weight:  392.22
Volume:  405.594
LogP:  3.182
LogD:  1.07
LogS:  -2.829
# Rotatable Bonds:  4
TPSA:  107.22
# H-Bond Aceptor:  6
# H-Bond Donor:  4
# Rings:  3
# Heavy Atoms:  6

MedChem Properties

QED Drug-Likeness Score:  0.46
Synthetic Accessibility Score:  4.726
Fsp3:  0.682
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  1
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.811
MDCK Permeability:  1.2689446521108039e-05
Pgp-inhibitor:  0.045
Pgp-substrate:  0.171
Human Intestinal Absorption (HIA):  0.048
20% Bioavailability (F20%):  0.833
30% Bioavailability (F30%):  0.014

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.1
Plasma Protein Binding (PPB):  92.31536102294922%
Volume Distribution (VD):  3.323
Pgp-substrate:  6.054044723510742%

ADMET: Metabolism

CYP1A2-inhibitor:  0.023
CYP1A2-substrate:  0.834
CYP2C19-inhibitor:  0.012
CYP2C19-substrate:  0.792
CYP2C9-inhibitor:  0.11
CYP2C9-substrate:  0.836
CYP2D6-inhibitor:  0.006
CYP2D6-substrate:  0.172
CYP3A4-inhibitor:  0.111
CYP3A4-substrate:  0.289

ADMET: Excretion

Clearance (CL):  7.986
Half-life (T1/2):  0.112

ADMET: Toxicity

hERG Blockers:  0.007
Human Hepatotoxicity (H-HT):  0.219
Drug-inuced Liver Injury (DILI):  0.874
AMES Toxicity:  0.085
Rat Oral Acute Toxicity:  0.304
Maximum Recommended Daily Dose:  0.533
Skin Sensitization:  0.936
Carcinogencity:  0.022
Eye Corrosion:  0.003
Eye Irritation:  0.8
Respiratory Toxicity:  0.946

Download Data

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

  Natural Product: NPC302124

Natural Product ID:  NPC302124
Common Name*:   RKFLDMZOLRTDIZ-CVYZWJSISA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  RKFLDMZOLRTDIZ-CVYZWJSISA-N
Standard InCHI:  InChI=1S/C22H32O6/c1-6-28-19-13-14(17(26)16(25)12(15(13)24)11(2)10-23)22(5)9-7-8-21(3,4)20(22)18(19)27/h11,18-20,23,25,27H,6-10H2,1-5H3/t11-,18-,19+,20+,22-/m1/s1
SMILES:  CCO[C@H]1C2=C(C(=O)C(=C([C@H](C)CO)C2=O)O)[C@@]2(C)CCCC(C)(C)[C@@H]2[C@@H]1O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids

*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
NPO19645 Chironia krebsii Species Gentianaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/0031-9422(91)80080-K]
NPO16538 Stylophorum diphyllum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[22029392]
NPO18135 Clausena vestita Species Rutaceae Eukaryota whole plants Yunnan Province, China 2008-JAN PMID[22093759]
NPO12583 Sauromatum giganteum Species Araceae Eukaryota n.a. n.a. n.a. PMID[28394604]
NPO18319 Fraxinus japonica Species Oleaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16538 Stylophorum diphyllum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16703 Isodon lophanthoides Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18319 Fraxinus japonica Species Oleaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16538 Stylophorum diphyllum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12583 Sauromatum giganteum Species Araceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16771 Amomum mindanaense Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18135 Clausena vestita Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18319 Fraxinus japonica Species Oleaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16538 Stylophorum diphyllum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16354 Allium scorodoprasum Species Amaryllidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12583 Sauromatum giganteum Species Araceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19645 Chironia krebsii Species Gentianaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17735 Acinetobacter genospecies Species Moraxellaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO16703 Isodon lophanthoides Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6896 Haliclona fulva Species Chalinidae 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 NPC302124 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 NPC302124 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