Structure

Physi-Chem Properties

Molecular Weight:  282.0
Volume:  227.375
LogP:  -0.363
LogD:  1.077
LogS:  -2.433
# Rotatable Bonds:  3
TPSA:  79.11
# H-Bond Aceptor:  4
# H-Bond Donor:  4
# Rings:  2
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.804
Synthetic Accessibility Score:  2.544
Fsp3:  0.182
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:  -4.954
MDCK Permeability:  6.249935540836304e-05
Pgp-inhibitor:  0.0
Pgp-substrate:  0.05
Human Intestinal Absorption (HIA):  0.01
20% Bioavailability (F20%):  0.001
30% Bioavailability (F30%):  0.001

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.733
Plasma Protein Binding (PPB):  83.32823181152344%
Volume Distribution (VD):  0.362
Pgp-substrate:  36.12270736694336%

ADMET: Metabolism

CYP1A2-inhibitor:  0.502
CYP1A2-substrate:  0.1
CYP2C19-inhibitor:  0.125
CYP2C19-substrate:  0.062
CYP2C9-inhibitor:  0.022
CYP2C9-substrate:  0.492
CYP2D6-inhibitor:  0.153
CYP2D6-substrate:  0.545
CYP3A4-inhibitor:  0.032
CYP3A4-substrate:  0.061

ADMET: Excretion

Clearance (CL):  3.118
Half-life (T1/2):  0.886

ADMET: Toxicity

hERG Blockers:  0.09
Human Hepatotoxicity (H-HT):  0.084
Drug-inuced Liver Injury (DILI):  0.027
AMES Toxicity:  0.015
Rat Oral Acute Toxicity:  0.881
Maximum Recommended Daily Dose:  0.414
Skin Sensitization:  0.351
Carcinogencity:  0.184
Eye Corrosion:  0.004
Eye Irritation:  0.046
Respiratory Toxicity:  0.324

Download Data

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

  Natural Product: NPC118355

Natural Product ID:  NPC118355
Common Name*:   NKRHOILNOKGLBP-UEXGIBASSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  NKRHOILNOKGLBP-UEXGIBASSA-N
Standard InCHI:  InChI=1S/C20H21NO6/c1-21(23)7-6-10-8-13-20(27-9-26-13)15-11-4-5-12(24-2)19(25-3)16(11)18(22)17(21)14(10)15/h4-5,8,17-18,22H,6-7,9H2,1-3H3/t17-,18+,21-/m0/s1
SMILES:  C[N@]1(=O)CCc2cc3c(c4-c5ccc(c(c5[C@H]([C@@H]1c24)O)OC)OC)OCO3
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0000381] Aporphines
        • [CHEMONTID:0003021] Hydroxy-7-aporphines

*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
NPO23024 Epimedium koreanum Species Berberidaceae Eukaryota n.a. n.a. n.a. PMID[12081149]
NPO21709 Pinus ponderosa Species Pinaceae Eukaryota n.a. n.a. n.a. PMID[12371811]
NPO22979 Hildegardia barteri Species Malvaceae Eukaryota n.a. n.a. n.a. PMID[16378378]
NPO18288 Macaranga bicolor Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[21275386]
NPO23024 Epimedium koreanum Species Berberidaceae Eukaryota n.a. root n.a. PMID[22051934]
NPO23024 Epimedium koreanum Species Berberidaceae Eukaryota aerial parts herbal garden of Chungbuk National University, Cheongju, Korea 2012-Oct PMID[24963714]
NPO23024 Epimedium koreanum Species Berberidaceae Eukaryota n.a. aerial part n.a. Database[Article]
NPO23024 Epimedium koreanum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23024 Epimedium koreanum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23024 Epimedium koreanum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23024 Epimedium koreanum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO22979 Hildegardia barteri Species Malvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23024 Epimedium koreanum Species Berberidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20153 Quercus pontica Species Fagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18288 Macaranga bicolor Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21709 Pinus ponderosa Species Pinaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21821 Aeschynomene indica Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22598 Galium lovcense Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22184 Pseudocyphellaria amphisticta Species Lobariaceae 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 NPC118355 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 NPC118355 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