Structure

Physi-Chem Properties

Molecular Weight:  396.2
Volume:  410.837
LogP:  3.674
LogD:  3.406
LogS:  -3.857
# Rotatable Bonds:  6
TPSA:  63.79
# H-Bond Aceptor:  6
# H-Bond Donor:  1
# Rings:  4
# Heavy Atoms:  6

MedChem Properties

QED Drug-Likeness Score:  0.362
Synthetic Accessibility Score:  4.138
Fsp3:  0.435
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:  -4.92
MDCK Permeability:  2.1401623598649167e-05
Pgp-inhibitor:  0.972
Pgp-substrate:  0.124
Human Intestinal Absorption (HIA):  0.008
20% Bioavailability (F20%):  0.008
30% Bioavailability (F30%):  0.02

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.991
Plasma Protein Binding (PPB):  81.24132537841797%
Volume Distribution (VD):  1.332
Pgp-substrate:  15.418010711669922%

ADMET: Metabolism

CYP1A2-inhibitor:  0.934
CYP1A2-substrate:  0.951
CYP2C19-inhibitor:  0.838
CYP2C19-substrate:  0.867
CYP2C9-inhibitor:  0.706
CYP2C9-substrate:  0.455
CYP2D6-inhibitor:  0.942
CYP2D6-substrate:  0.887
CYP3A4-inhibitor:  0.947
CYP3A4-substrate:  0.914

ADMET: Excretion

Clearance (CL):  4.274
Half-life (T1/2):  0.536

ADMET: Toxicity

hERG Blockers:  0.904
Human Hepatotoxicity (H-HT):  0.312
Drug-inuced Liver Injury (DILI):  0.663
AMES Toxicity:  0.214
Rat Oral Acute Toxicity:  0.957
Maximum Recommended Daily Dose:  0.99
Skin Sensitization:  0.744
Carcinogencity:  0.956
Eye Corrosion:  0.005
Eye Irritation:  0.029
Respiratory Toxicity:  0.982

Download Data

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

  Natural Product: NPC131260

Natural Product ID:  NPC131260
Common Name*:   JGZKIGWXPPFMRG-CYSPOEIOSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  JGZKIGWXPPFMRG-CYSPOEIOSA-N
Standard InCHI:  InChI=1S/C23H28N2O4/c1-5-14-12-25-10-9-15-21-18(7-6-8-20(21)28-3)24-22(15)19(25)11-16(14)17(13-27-2)23(26)29-4/h5-8,13-14,16,19,24H,1,9-12H2,2-4H3/b17-13+/t14-,16-,19-/m0/s1
SMILES:  C=C[C@H]1CN2CCc3c4c(cccc4OC)[nH]c3[C@@H]2C[C@@H]1/C(=COC)/C(=O)OC
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   3037629
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000279] Alkaloids and derivatives
      • [CHEMONTID:0002750] Corynanthean-type alkaloids

*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
NPO10533 Ixeris chinensis Species Asteraceae Eukaryota n.a. whole plant n.a. PMID[15635221]
NPO10533 Ixeris chinensis Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[17067155]
NPO2677 Paralemnalia clavata Species Nephtheidae Eukaryota n.a. n.a. n.a. PMID[18247571]
NPO1569 Mitragyna speciosa Species Rubiaceae Eukaryota n.a. n.a. n.a. PMID[23517479]
NPO8554 Cryptocarya lividula Species Lauraceae Eukaryota n.a. leaf n.a. PMID[27032214]
NPO1569 Mitragyna speciosa Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10533 Ixeris chinensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO10533 Ixeris chinensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO1569 Mitragyna speciosa Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO8453 Euphorbia pannonica Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6163 Picris conyzoides Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2677 Paralemnalia clavata Species Nephtheidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8554 Cryptocarya lividula Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1996 Penstemon gentianoides Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1569 Mitragyna speciosa Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10533 Ixeris chinensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4209 Knautia montana Species Caprifoliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25675 Anthyllis onobrychoides Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO317 Corticium simplex Species Plakinidae 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 NPC131260 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 NPC131260 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