Structure

Physi-Chem Properties

Molecular Weight:  371.21
Volume:  387.818
LogP:  4.146
LogD:  2.892
LogS:  -4.856
# Rotatable Bonds:  3
TPSA:  60.55
# H-Bond Aceptor:  5
# H-Bond Donor:  1
# Rings:  4
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.875
Synthetic Accessibility Score:  4.299
Fsp3:  0.591
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:  -4.636
MDCK Permeability:  2.0553317881422117e-05
Pgp-inhibitor:  0.995
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.009
20% Bioavailability (F20%):  0.026
30% Bioavailability (F30%):  0.183

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.482
Plasma Protein Binding (PPB):  91.86119842529297%
Volume Distribution (VD):  2.081
Pgp-substrate:  6.933368682861328%

ADMET: Metabolism

CYP1A2-inhibitor:  0.2
CYP1A2-substrate:  0.834
CYP2C19-inhibitor:  0.639
CYP2C19-substrate:  0.869
CYP2C9-inhibitor:  0.774
CYP2C9-substrate:  0.714
CYP2D6-inhibitor:  0.163
CYP2D6-substrate:  0.543
CYP3A4-inhibitor:  0.664
CYP3A4-substrate:  0.734

ADMET: Excretion

Clearance (CL):  4.035
Half-life (T1/2):  0.424

ADMET: Toxicity

hERG Blockers:  0.02
Human Hepatotoxicity (H-HT):  0.831
Drug-inuced Liver Injury (DILI):  0.914
AMES Toxicity:  0.208
Rat Oral Acute Toxicity:  0.203
Maximum Recommended Daily Dose:  0.845
Skin Sensitization:  0.119
Carcinogencity:  0.9
Eye Corrosion:  0.003
Eye Irritation:  0.033
Respiratory Toxicity:  0.458

Download Data

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

  Natural Product: NPC148973

Natural Product ID:  NPC148973
Common Name*:   IQNWBWZINFOHGE-IATAILRESA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  IQNWBWZINFOHGE-IATAILRESA-N
Standard InCHI:  InChI=1S/C22H29NO4/c1-13-22(6,12-11-16-20(2,3)27-21(4,5)26-16)17-18(24)14-9-7-8-10-15(14)23-19(17)25-13/h7-10,13,16H,11-12H2,1-6H3,(H,23,24)/t13-,16+,22-/m0/s1
SMILES:  C[C@H]1[C@](C)(CC[C@@H]2C(C)(C)OC(C)(C)O2)c2c(c3ccccc3nc2O1)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0001253] Quinolines and derivatives
        • [CHEMONTID:0001780] Dihydrofuranoquinolines

*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
NPO23807 Trollius macropetalus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO23807 Trollius macropetalus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO23807 Trollius macropetalus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO23807 Trollius macropetalus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22061 Siphonaria normalis Species Siphonariidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23943 Aconitum chiisanense Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24349 Ceratocystis variospora Species Ceratocystidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24233 Thynnus thynnus Species Tiphiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14890 Macroclinidium robustum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24201 Cinnamomum massoia Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14209 Dysphania graveolens Species Chenopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13435 Propylea quatuordecimpunctata Species Coccinellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20762 Haplophyllum bucharicum Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23482 Vernonia cinerascens 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 NPC148973 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 NPC148973 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