Structure

Physi-Chem Properties

Molecular Weight:  341.16
Volume:  350.589
LogP:  2.396
LogD:  2.888
LogS:  -1.973
# Rotatable Bonds:  3
TPSA:  51.16
# H-Bond Aceptor:  5
# H-Bond Donor:  1
# Rings:  4
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.929
Synthetic Accessibility Score:  3.046
Fsp3:  0.4
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:  -4.726
MDCK Permeability:  1.6102168956422247e-05
Pgp-inhibitor:  0.072
Pgp-substrate:  0.641
Human Intestinal Absorption (HIA):  0.004
20% Bioavailability (F20%):  0.016
30% Bioavailability (F30%):  0.369

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.98
Plasma Protein Binding (PPB):  80.96019744873047%
Volume Distribution (VD):  1.712
Pgp-substrate:  14.47797679901123%

ADMET: Metabolism

CYP1A2-inhibitor:  0.273
CYP1A2-substrate:  0.973
CYP2C19-inhibitor:  0.041
CYP2C19-substrate:  0.93
CYP2C9-inhibitor:  0.01
CYP2C9-substrate:  0.677
CYP2D6-inhibitor:  0.201
CYP2D6-substrate:  0.927
CYP3A4-inhibitor:  0.055
CYP3A4-substrate:  0.923

ADMET: Excretion

Clearance (CL):  10.146
Half-life (T1/2):  0.658

ADMET: Toxicity

hERG Blockers:  0.659
Human Hepatotoxicity (H-HT):  0.166
Drug-inuced Liver Injury (DILI):  0.403
AMES Toxicity:  0.281
Rat Oral Acute Toxicity:  0.492
Maximum Recommended Daily Dose:  0.91
Skin Sensitization:  0.304
Carcinogencity:  0.032
Eye Corrosion:  0.003
Eye Irritation:  0.009
Respiratory Toxicity:  0.919

Download Data

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

  Natural Product: NPC66396

Natural Product ID:  NPC66396
Common Name*:   ZFLRVRLYWHNAEC-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  ZFLRVRLYWHNAEC-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C20H23NO4/c1-21-6-5-11-9-17(24-3)20(25-4)19-13-10-16(23-2)15(22)8-12(13)7-14(21)18(11)19/h8-10,14,22H,5-7H2,1-4H3
SMILES:  CN1CCc2cc(c(c3-c4cc(c(cc4CC1c23)O)OC)OC)OC
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   631015
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0000381] 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
NPO25345 Corydalis ternata Species Papaveraceae Eukaryota tubers n.a. n.a. PMID[20594848]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[22737858]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[23194502]
NPO13962 Corydalis turtschaninovii Species Papaveraceae Eukaryota n.a. rhizome n.a. PMID[25277281]
NPO13962 Corydalis turtschaninovii Species Papaveraceae Eukaryota n.a. tuber n.a. PMID[25670016]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[32058719]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO25345 Corydalis ternata Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO13962 Corydalis turtschaninovii Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO25345 Corydalis ternata Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO827 Corydalis yanhusuo Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13962 Corydalis turtschaninovii Species Papaveraceae 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
NPT113 Cell Line RAW264.7 Mus musculus IC50 > 10000.0 nM PMID[479676]

☑ 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 NPC66396 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 NPC66396 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