Structure

Physi-Chem Properties

Molecular Weight:  410.14
Volume:  409.942
LogP:  4.212
LogD:  2.098
LogS:  -3.677
# Rotatable Bonds:  4
TPSA:  102.29
# H-Bond Aceptor:  7
# H-Bond Donor:  2
# Rings:  4
# Heavy Atoms:  7

MedChem Properties

QED Drug-Likeness Score:  0.578
Synthetic Accessibility Score:  3.988
Fsp3:  0.304
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Accepted
Chelating Alert:  1
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.978
MDCK Permeability:  1.29778300106409e-05
Pgp-inhibitor:  0.015
Pgp-substrate:  0.003
Human Intestinal Absorption (HIA):  0.051
20% Bioavailability (F20%):  0.006
30% Bioavailability (F30%):  0.002

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.009
Plasma Protein Binding (PPB):  93.86846160888672%
Volume Distribution (VD):  0.62
Pgp-substrate:  7.3015570640563965%

ADMET: Metabolism

CYP1A2-inhibitor:  0.088
CYP1A2-substrate:  0.947
CYP2C19-inhibitor:  0.045
CYP2C19-substrate:  0.191
CYP2C9-inhibitor:  0.356
CYP2C9-substrate:  0.233
CYP2D6-inhibitor:  0.142
CYP2D6-substrate:  0.156
CYP3A4-inhibitor:  0.07
CYP3A4-substrate:  0.149

ADMET: Excretion

Clearance (CL):  2.264
Half-life (T1/2):  0.807

ADMET: Toxicity

hERG Blockers:  0.023
Human Hepatotoxicity (H-HT):  0.743
Drug-inuced Liver Injury (DILI):  0.94
AMES Toxicity:  0.474
Rat Oral Acute Toxicity:  0.904
Maximum Recommended Daily Dose:  0.798
Skin Sensitization:  0.23
Carcinogencity:  0.877
Eye Corrosion:  0.003
Eye Irritation:  0.019
Respiratory Toxicity:  0.88

Download Data

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

  Natural Product: NPC229498

Natural Product ID:  NPC229498
Common Name*:   AKXMGKZSAKHYSK-HRBBJJPOSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  AKXMGKZSAKHYSK-HRBBJJPOSA-N
Standard InCHI:  InChI=1S/C23H22O7/c1-11(10-24)12-5-6-23(2)16(12)7-14-19-13(8-18(29-4)21(14)30-23)20(25)15(22(26)27)9-17(19)28-3/h7-10,25H,5-6H2,1-4H3,(H,26,27)/b12-11+/t23-/m1/s1
SMILES:  C/C(=C1/CC[C@]2(C)C1=Cc1c3c(cc(c1O2)OC)c(c(cc3OC)C(=O)O)O)/C=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:0001640] Naphthopyrans

*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
NPO7587 Mallotus resinosus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[15387675]
NPO15231 Axinella damicornis Species Axinellidae Eukaryota n.a. Mediterranean n.a. PMID[17582775]
NPO6195 Rhodopentas bussei Species Rubiaceae Eukaryota Roots n.a. n.a. PMID[27518587]
NPO21314 Trametes sanguinea Species Coriolaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO4718 Daphne sericea Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11743 Phryxe caudata Species Tachinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15231 Axinella damicornis Species Axinellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12699 Cronartium fusiforme Species Cronartiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4641 Baccharis nitida Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10390 Orbexilum onobrychis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12803 Leuzea longifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21314 Trametes sanguinea Species Coriolaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6195 Rhodopentas bussei Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2973 Euphorbia bungei Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8158 Euchresta horsfieldii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3514.1 Klebsiella pneumoniae subsp. ozaenae Subspecies Enterobacteriaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO4906 Streptomyces flavoviridis Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO7587 Mallotus resinosus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2522 Fannia femoralis Species Fanniidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1433 Hepialus californicus Species Hepialidae 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 NPC229498 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 NPC229498 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