Structure

Physi-Chem Properties

Molecular Weight:  353.16
Volume:  359.329
LogP:  3.835
LogD:  3.387
LogS:  -3.243
# Rotatable Bonds:  2
TPSA:  40.16
# H-Bond Aceptor:  5
# H-Bond Donor:  0
# Rings:  5
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.824
Synthetic Accessibility Score:  3.401
Fsp3:  0.429
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
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:  -5.279
MDCK Permeability:  3.0441740818787366e-05
Pgp-inhibitor:  0.641
Pgp-substrate:  0.929
Human Intestinal Absorption (HIA):  0.001
20% Bioavailability (F20%):  0.026
30% Bioavailability (F30%):  0.44

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.98
Plasma Protein Binding (PPB):  94.68721008300781%
Volume Distribution (VD):  1.896
Pgp-substrate:  2.886542320251465%

ADMET: Metabolism

CYP1A2-inhibitor:  0.788
CYP1A2-substrate:  0.961
CYP2C19-inhibitor:  0.921
CYP2C19-substrate:  0.919
CYP2C9-inhibitor:  0.087
CYP2C9-substrate:  0.81
CYP2D6-inhibitor:  0.933
CYP2D6-substrate:  0.896
CYP3A4-inhibitor:  0.951
CYP3A4-substrate:  0.914

ADMET: Excretion

Clearance (CL):  15.164
Half-life (T1/2):  0.258

ADMET: Toxicity

hERG Blockers:  0.211
Human Hepatotoxicity (H-HT):  0.149
Drug-inuced Liver Injury (DILI):  0.709
AMES Toxicity:  0.406
Rat Oral Acute Toxicity:  0.485
Maximum Recommended Daily Dose:  0.914
Skin Sensitization:  0.132
Carcinogencity:  0.897
Eye Corrosion:  0.003
Eye Irritation:  0.016
Respiratory Toxicity:  0.942

Download Data

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

  Natural Product: NPC305910

Natural Product ID:  NPC305910
Common Name*:   LPKAAKHLNGEZJC-FKIZINRSSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  LPKAAKHLNGEZJC-FKIZINRSSA-N
Standard InCHI:  InChI=1S/C21H23NO4/c1-12-14-4-5-17(23-2)21(24-3)16(14)10-22-7-6-13-8-18-19(26-11-25-18)9-15(13)20(12)22/h4-5,8-9,12,20H,6-7,10-11H2,1-3H3/t12-,20+/m0/s1
SMILES:  C[C@H]1c2ccc(c(c2CN2CCc3cc4c(cc3[C@@H]12)OCO4)OC)OC
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   12443379
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0001909] Protoberberine alkaloids and derivatives

*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
NPO29263 Tylopilus plumbeoviolaceus Species Boletaceae Eukaryota n.a. fruit body n.a. PMID[10785434]
NPO2020 Corydalis cava Species Papaveraceae Eukaryota n.a. n.a. n.a. PMID[22029392]
NPO2020 Corydalis cava Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28926 Corydalis tuberosa Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO2020 Corydalis cava Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28926 Corydalis tuberosa Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28926 Corydalis tuberosa Species Papaveraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29347 Hydnum aurantiacum Species Hydnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17311 Penicillium vulpinum Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29441 Eremophila oppositifolia Species Scrophulariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29490 Taxillus yadoriki Species Loranthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29086 Dovyalis hebecarpa Species Salicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29246 Ixeris repens Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29263 Tylopilus plumbeoviolaceus Species Boletaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29206 Lycopodium chinense Species Lycopodiaceae 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 NPC305910 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 NPC305910 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