Structure

Physi-Chem Properties

Molecular Weight:  414.12
Volume:  416.129
LogP:  4.314
LogD:  2.532
LogS:  -4.969
# Rotatable Bonds:  5
TPSA:  69.67
# H-Bond Aceptor:  5
# H-Bond Donor:  0
# Rings:  3
# Heavy Atoms:  6

MedChem Properties

QED Drug-Likeness Score:  0.373
Synthetic Accessibility Score:  4.638
Fsp3:  0.348
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.788
MDCK Permeability:  1.822385092964396e-05
Pgp-inhibitor:  0.733
Pgp-substrate:  0.003
Human Intestinal Absorption (HIA):  0.015
20% Bioavailability (F20%):  0.075
30% Bioavailability (F30%):  0.072

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.03
Plasma Protein Binding (PPB):  88.17874908447266%
Volume Distribution (VD):  2.167
Pgp-substrate:  7.642970085144043%

ADMET: Metabolism

CYP1A2-inhibitor:  0.938
CYP1A2-substrate:  0.843
CYP2C19-inhibitor:  0.962
CYP2C19-substrate:  0.289
CYP2C9-inhibitor:  0.943
CYP2C9-substrate:  0.088
CYP2D6-inhibitor:  0.929
CYP2D6-substrate:  0.039
CYP3A4-inhibitor:  0.96
CYP3A4-substrate:  0.486

ADMET: Excretion

Clearance (CL):  1.49
Half-life (T1/2):  0.451

ADMET: Toxicity

hERG Blockers:  0.008
Human Hepatotoxicity (H-HT):  0.926
Drug-inuced Liver Injury (DILI):  0.98
AMES Toxicity:  0.811
Rat Oral Acute Toxicity:  0.876
Maximum Recommended Daily Dose:  0.946
Skin Sensitization:  0.932
Carcinogencity:  0.958
Eye Corrosion:  0.003
Eye Irritation:  0.048
Respiratory Toxicity:  0.938

Download Data

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

  Natural Product: NPC146680

Natural Product ID:  NPC146680
Common Name*:   QJSWSNAZIVGTFZ-UNSJDTSZSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  QJSWSNAZIVGTFZ-UNSJDTSZSA-N
Standard InCHI:  InChI=1S/C23H23ClO5/c1-6-12(2)9-13(3)7-8-15-10-16-17(11-28-15)19-18(14(4)25)22(27)29-23(19,5)21(26)20(16)24/h7-12H,6H2,1-5H3/b8-7+,13-9+/t12-,23+/m0/s1
SMILES:  CC[C@H](C)/C=C(C)/C=C/C1=CC2=C(C(=O)[C@@]3(C)C(=C(C(=O)C)C(=O)O3)C2=CO1)Cl
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   10364495
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
NPO40496 Diaporthe sp. SCSIO 41011 Strain Diaporthaceae Eukaryota n.a. n.a. n.a. PMID[29517908]
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]
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]
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]

☑ 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 NPC146680 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 NPC146680 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