Structure

Physi-Chem Properties

Molecular Weight:  310.18
Volume:  321.517
LogP:  3.371
LogD:  3.519
LogS:  -2.857
# Rotatable Bonds:  5
TPSA:  83.06
# H-Bond Aceptor:  5
# H-Bond Donor:  3
# Rings:  2
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.728
Synthetic Accessibility Score:  4.823
Fsp3:  0.647
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
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:  -4.898
MDCK Permeability:  9.600125849829055e-06
Pgp-inhibitor:  0.0
Pgp-substrate:  0.128
Human Intestinal Absorption (HIA):  0.015
20% Bioavailability (F20%):  0.003
30% Bioavailability (F30%):  0.006

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.389
Plasma Protein Binding (PPB):  96.43890380859375%
Volume Distribution (VD):  1.397
Pgp-substrate:  4.566992282867432%

ADMET: Metabolism

CYP1A2-inhibitor:  0.144
CYP1A2-substrate:  0.464
CYP2C19-inhibitor:  0.037
CYP2C19-substrate:  0.855
CYP2C9-inhibitor:  0.502
CYP2C9-substrate:  0.869
CYP2D6-inhibitor:  0.016
CYP2D6-substrate:  0.212
CYP3A4-inhibitor:  0.051
CYP3A4-substrate:  0.247

ADMET: Excretion

Clearance (CL):  6.33
Half-life (T1/2):  0.838

ADMET: Toxicity

hERG Blockers:  0.01
Human Hepatotoxicity (H-HT):  0.774
Drug-inuced Liver Injury (DILI):  0.936
AMES Toxicity:  0.007
Rat Oral Acute Toxicity:  0.688
Maximum Recommended Daily Dose:  0.198
Skin Sensitization:  0.202
Carcinogencity:  0.042
Eye Corrosion:  0.003
Eye Irritation:  0.013
Respiratory Toxicity:  0.261

Download Data

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

  Natural Product: NPC39616

Natural Product ID:  NPC39616
Common Name*:   ZDQYHGQAFAMSQQ-QBCNAQCJSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  ZDQYHGQAFAMSQQ-QBCNAQCJSA-N
Standard InCHI:  InChI=1S/C17H26O5/c1-5-9(2)8-10(3)6-7-12-14(18)15(19)13-16(22-12)11(4)21-17(13)20/h6-7,9-12,14-15,18-19H,5,8H2,1-4H3/b7-6-/t9-,10+,11-,12-,14-,15-/m1/s1
SMILES:  CC[C@@H](C)C[C@@H](C)/C=C[C@@H]1[C@H]([C@@H](C2=C([C@@H](C)OC2=O)O1)O)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:0001983] Dihydrofurans
        • [CHEMONTID:0001982] Furanones
          • [CHEMONTID:0002223] Butenolides

*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
NPO28230 Stemona japonica Species Stemonaceae Eukaryota stems and leaves n.a. n.a. PMID[18163592]
NPO28560 Sarcomelicope glauca Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28230 Stemona japonica Species Stemonaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28407 Clausena heptaphylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28178 Artemisia tridentata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO28178 Artemisia tridentata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28560 Sarcomelicope glauca Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28407 Clausena heptaphylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28230 Stemona japonica Species Stemonaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO28407 Clausena heptaphylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28230 Stemona japonica Species Stemonaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO28230 Stemona japonica Species Stemonaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO28178 Artemisia tridentata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28463 Penicillium gilmanii Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28560 Sarcomelicope glauca Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO27851 Leptothorax muscorum Species Formicidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28108 Stereum princeps Species Stereaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28230 Stemona japonica Species Stemonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28350 Hypsizigus marmoreus n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO28407 Clausena heptaphylla Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23206 Senegalia caffra Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29474 Bipolaris victoriae Species Pleosporaceae 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 NPC39616 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 NPC39616 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