Structure

Physi-Chem Properties

Molecular Weight:  207.13
Volume:  219.663
LogP:  1.463
LogD:  1.57
LogS:  -0.805
# Rotatable Bonds:  1
TPSA:  32.7
# H-Bond Aceptor:  3
# H-Bond Donor:  1
# Rings:  2
# Heavy Atoms:  3

MedChem Properties

QED Drug-Likeness Score:  0.764
Synthetic Accessibility Score:  2.771
Fsp3:  0.5
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  1
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.478
MDCK Permeability:  1.2115587196603883e-05
Pgp-inhibitor:  0.002
Pgp-substrate:  0.545
Human Intestinal Absorption (HIA):  0.005
20% Bioavailability (F20%):  0.635
30% Bioavailability (F30%):  0.424

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.994
Plasma Protein Binding (PPB):  30.321075439453125%
Volume Distribution (VD):  2.463
Pgp-substrate:  61.850948333740234%

ADMET: Metabolism

CYP1A2-inhibitor:  0.148
CYP1A2-substrate:  0.943
CYP2C19-inhibitor:  0.03
CYP2C19-substrate:  0.917
CYP2C9-inhibitor:  0.005
CYP2C9-substrate:  0.393
CYP2D6-inhibitor:  0.493
CYP2D6-substrate:  0.913
CYP3A4-inhibitor:  0.004
CYP3A4-substrate:  0.73

ADMET: Excretion

Clearance (CL):  13.868
Half-life (T1/2):  0.83

ADMET: Toxicity

hERG Blockers:  0.053
Human Hepatotoxicity (H-HT):  0.108
Drug-inuced Liver Injury (DILI):  0.097
AMES Toxicity:  0.226
Rat Oral Acute Toxicity:  0.39
Maximum Recommended Daily Dose:  0.9
Skin Sensitization:  0.687
Carcinogencity:  0.121
Eye Corrosion:  0.005
Eye Irritation:  0.028
Respiratory Toxicity:  0.939

Download Data

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

  Natural Product: NPC28766

Natural Product ID:  NPC28766
Common Name*:   QFSVLNAGJRAZFV-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  QFSVLNAGJRAZFV-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C12H17NO2/c1-8-10-7-11(14)12(15-3)6-9(10)4-5-13(8)2/h6-8,14H,4-5H2,1-3H3
SMILES:  CC1c2cc(c(cc2CCN1C)OC)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   40093
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0002955] Tetrahydroisoquinolines

*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
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. PMID[19919095]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota flower buds and leaves Khon Kaen province, Thailand 2010 PMID[23270663]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota Leaves n.a. n.a. PMID[23642481]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota Flowers n.a. n.a. PMID[26462418]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota Fruit n.a. n.a. Database[FooDB]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota Rhizome n.a. n.a. Database[FooDB]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota Seed n.a. n.a. Database[FooDB]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. Database[FooDB]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15826 Cortex magnoliae officinalis n.a. n.a. n.a. n.a. n.a. n.a. Database[TCMID]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO3478 Nelumbo nucifera Species Nelumbonaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO3478 Nelumbo nucifera Species Nelumbonaceae 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 NPC28766 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 NPC28766 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