Structure

Physi-Chem Properties

Molecular Weight:  214.14
Volume:  240.571
LogP:  4.191
LogD:  3.903
LogS:  -3.665
# Rotatable Bonds:  0
TPSA:  13.14
# H-Bond Aceptor:  1
# H-Bond Donor:  0
# Rings:  3
# Heavy Atoms:  1

MedChem Properties

QED Drug-Likeness Score:  0.598
Synthetic Accessibility Score:  4.522
Fsp3:  0.467
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:  -4.59
MDCK Permeability:  3.1800347642274573e-05
Pgp-inhibitor:  0.009
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.003
20% Bioavailability (F20%):  0.523
30% Bioavailability (F30%):  0.013

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.206
Plasma Protein Binding (PPB):  94.42115783691406%
Volume Distribution (VD):  2.389
Pgp-substrate:  4.3547163009643555%

ADMET: Metabolism

CYP1A2-inhibitor:  0.68
CYP1A2-substrate:  0.319
CYP2C19-inhibitor:  0.464
CYP2C19-substrate:  0.691
CYP2C9-inhibitor:  0.178
CYP2C9-substrate:  0.381
CYP2D6-inhibitor:  0.517
CYP2D6-substrate:  0.885
CYP3A4-inhibitor:  0.9
CYP3A4-substrate:  0.31

ADMET: Excretion

Clearance (CL):  13.792
Half-life (T1/2):  0.121

ADMET: Toxicity

hERG Blockers:  0.016
Human Hepatotoxicity (H-HT):  0.227
Drug-inuced Liver Injury (DILI):  0.244
AMES Toxicity:  0.007
Rat Oral Acute Toxicity:  0.696
Maximum Recommended Daily Dose:  0.601
Skin Sensitization:  0.055
Carcinogencity:  0.921
Eye Corrosion:  0.004
Eye Irritation:  0.035
Respiratory Toxicity:  0.825

Download Data

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

  Natural Product: NPC165161

Natural Product ID:  NPC165161
Common Name*:   BZQURGSQMBBPRU-AWKYBWMHSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  BZQURGSQMBBPRU-AWKYBWMHSA-N
Standard InCHI:  InChI=1S/C15H18O/c1-10-5-4-6-15(3)8-14-12(7-13(10)15)11(2)9-16-14/h4,6,9,13H,1,5,7-8H2,2-3H3/t13?,15-/m1/s1
SMILES:  C=C1CC=C[C@]2(C)Cc3c(CC12)c(C)co3
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   5319038
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids
          • [CHEMONTID:0003655] Eremophilane, 8,9-secoeremophilane and furoeremophilane sesquiterpenoids

*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
NPO25825 Saussurea lappa Species Asteraceae Eukaryota Roots n.a. n.a. PMID[14510592]
NPO4682 Lindera aggregata Species Lauraceae Eukaryota n.a. leaf n.a. PMID[17999353]
NPO30603 Saussurea lappa n.a. n.a. n.a. n.a. root n.a. PMID[18409040]
NPO30603 Saussurea lappa n.a. n.a. n.a. roots n.a. n.a. PMID[18579374]
NPO4682 Lindera aggregata Species Lauraceae Eukaryota Roots; Tubers n.a. n.a. PMID[19639966]
NPO30603 Saussurea lappa n.a. n.a. n.a. n.a. n.a. n.a. PMID[25068579]
NPO25825 Saussurea lappa Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[3572418]
NPO30603 Saussurea lappa n.a. n.a. n.a. n.a. root n.a. PMID[8541643]
NPO31274 Lindera strychnifolia Species Tineidae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO30603 Saussurea lappa n.a. n.a. n.a. n.a. n.a. n.a. Database[HerDing]
NPO4682 Lindera aggregata Species Lauraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25825 Saussurea lappa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO31274 Lindera strychnifolia Species Tineidae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO30415 Lindera aggregate Species Tineidae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO25825 Saussurea lappa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO4682 Lindera aggregata Species Lauraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO4682 Lindera aggregata Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25825 Saussurea lappa 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 NPC165161 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 NPC165161 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