Structure

Physi-Chem Properties

Molecular Weight:  382.18
Volume:  403.554
LogP:  3.582
LogD:  2.262
LogS:  -4.693
# Rotatable Bonds:  5
TPSA:  69.67
# H-Bond Aceptor:  5
# H-Bond Donor:  0
# Rings:  3
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.409
Synthetic Accessibility Score:  4.991
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:  -4.745
MDCK Permeability:  1.816701296775136e-05
Pgp-inhibitor:  0.985
Pgp-substrate:  0.15
Human Intestinal Absorption (HIA):  0.019
20% Bioavailability (F20%):  0.882
30% Bioavailability (F30%):  0.158

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.946
Plasma Protein Binding (PPB):  84.04242706298828%
Volume Distribution (VD):  1.783
Pgp-substrate:  21.144794464111328%

ADMET: Metabolism

CYP1A2-inhibitor:  0.741
CYP1A2-substrate:  0.434
CYP2C19-inhibitor:  0.853
CYP2C19-substrate:  0.687
CYP2C9-inhibitor:  0.543
CYP2C9-substrate:  0.12
CYP2D6-inhibitor:  0.37
CYP2D6-substrate:  0.196
CYP3A4-inhibitor:  0.912
CYP3A4-substrate:  0.554

ADMET: Excretion

Clearance (CL):  5.81
Half-life (T1/2):  0.41

ADMET: Toxicity

hERG Blockers:  0.047
Human Hepatotoxicity (H-HT):  0.945
Drug-inuced Liver Injury (DILI):  0.356
AMES Toxicity:  0.899
Rat Oral Acute Toxicity:  0.935
Maximum Recommended Daily Dose:  0.969
Skin Sensitization:  0.953
Carcinogencity:  0.879
Eye Corrosion:  0.018
Eye Irritation:  0.055
Respiratory Toxicity:  0.964

Download Data

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

  Natural Product: NPC146590

Natural Product ID:  NPC146590
Common Name*:   GAIVGINVGXHEIA-AHCAUQRBSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  GAIVGINVGXHEIA-AHCAUQRBSA-N
Standard InCHI:  InChI=1S/C23H26O5/c1-6-13(2)9-14(3)7-8-17-10-16-11-19(25)23(5)21(18(16)12-27-17)20(15(4)24)22(26)28-23/h7-13,20-21H,6H2,1-5H3/b8-7+,14-9+/t13-,20+,21+,23-/m0/s1
SMILES:  CC[C@H](C)/C=C(C)/C=C/C1=CC2=CC(=O)[C@@]3(C)[C@H](C2=CO1)[C@@H](C(=O)C)C(=O)O3
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0001831] Carbonyl compounds
          • [CHEMONTID:0000118] Ketones
            • [CHEMONTID:0003487] Cyclic ketones
              • [CHEMONTID:0004325] Cyclohexenones

*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
NPO13628 Rabdosia longituba Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO13628 Rabdosia longituba Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14633 Tridacna maxima Species Tridacnidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13628 Rabdosia longituba Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10933 Stenanthera gabonensis n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO15729 Streptomyces karnatakensis Species Streptomycetaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO7875 Pseudocyphellaria berberina Species Lobariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16003 Machaerium incorruptibile Species Dolichopodidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3508 Aglaia tenuicaulis Species Meliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20456 Chrysanthemum tatsienense Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5308 Stilpnopappus trichospiroides n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO9160 Plantago nivalis Species Plantaginaceae 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 NPC146590 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 NPC146590 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