Structure

Physi-Chem Properties

Molecular Weight:  383.14
Volume:  368.353
LogP:  2.116
LogD:  2.747
LogS:  -3.723
# Rotatable Bonds:  1
TPSA:  58.62
# H-Bond Aceptor:  7
# H-Bond Donor:  0
# Rings:  6
# Heavy Atoms:  7

MedChem Properties

QED Drug-Likeness Score:  0.75
Synthetic Accessibility Score:  3.998
Fsp3:  0.429
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
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:  -4.865
MDCK Permeability:  4.57882160844747e-05
Pgp-inhibitor:  0.41
Pgp-substrate:  0.044
Human Intestinal Absorption (HIA):  0.001
20% Bioavailability (F20%):  0.002
30% Bioavailability (F30%):  0.023

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.977
Plasma Protein Binding (PPB):  94.09362030029297%
Volume Distribution (VD):  1.383
Pgp-substrate:  2.887662887573242%

ADMET: Metabolism

CYP1A2-inhibitor:  0.279
CYP1A2-substrate:  0.919
CYP2C19-inhibitor:  0.916
CYP2C19-substrate:  0.917
CYP2C9-inhibitor:  0.245
CYP2C9-substrate:  0.759
CYP2D6-inhibitor:  0.97
CYP2D6-substrate:  0.905
CYP3A4-inhibitor:  0.956
CYP3A4-substrate:  0.91

ADMET: Excretion

Clearance (CL):  13.104
Half-life (T1/2):  0.168

ADMET: Toxicity

hERG Blockers:  0.521
Human Hepatotoxicity (H-HT):  0.304
Drug-inuced Liver Injury (DILI):  0.341
AMES Toxicity:  0.973
Rat Oral Acute Toxicity:  0.511
Maximum Recommended Daily Dose:  0.937
Skin Sensitization:  0.273
Carcinogencity:  0.945
Eye Corrosion:  0.003
Eye Irritation:  0.009
Respiratory Toxicity:  0.864

Download Data

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

  Natural Product: NPC112181

Natural Product ID:  NPC112181
Common Name*:   XRBIHOLQAKITPP-SBHAEUEKSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  XRBIHOLQAKITPP-SBHAEUEKSA-N
Standard InCHI:  InChI=1S/C21H21NO6/c1-22-6-5-11-7-15-16(26-9-25-15)8-13(11)19-18(22)12-3-4-14-20(27-10-24-14)17(12)21(23-2)28-19/h3-4,7-8,18-19,21H,5-6,9-10H2,1-2H3/t18-,19-,21+/m1/s1
SMILES:  CN1CCc2cc3c(cc2[C@@H]2[C@H]1c1ccc4c(c1[C@@H](OC)O2)OCO4)OCO3
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   197775
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0002658] Rhoeadine alkaloids

*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
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[15019787]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[22029392]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[23517479]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota Latex Exudate n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO10176 Chrozophora prostrata Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9498 Papaver somniferum Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26963 Sarcocapnos enneaphylla Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9511 Ranunculus serbicus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15455 Karwinskia johnstonii Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14659 Cereus pecten-aboriginum Species Sagartiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2826 Pseudocercospora cruenta Species Mycosphaerellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12540 Fuligo septica Species Physaraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7063 Gentianella amarella Species Gentianaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7312 Aplidium multiplicatum Species Polyclinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2466 Aloe microstigma Species Asphodelaceae 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 NPC112181 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 NPC112181 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