Structure

Physi-Chem Properties

Molecular Weight:  455.41
Volume:  542.78
LogP:  10.105
LogD:  5.747
LogS:  -7.171
# Rotatable Bonds:  19
TPSA:  22.12
# H-Bond Aceptor:  2
# H-Bond Donor:  0
# Rings:  1
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.196
Synthetic Accessibility Score:  3.266
Fsp3:  0.71
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.158
MDCK Permeability:  6.852315891592298e-06
Pgp-inhibitor:  0.0
Pgp-substrate:  0.007
Human Intestinal Absorption (HIA):  0.005
20% Bioavailability (F20%):  0.308
30% Bioavailability (F30%):  0.999

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.057
Plasma Protein Binding (PPB):  98.58277130126953%
Volume Distribution (VD):  4.997
Pgp-substrate:  0.8432855010032654%

ADMET: Metabolism

CYP1A2-inhibitor:  0.162
CYP1A2-substrate:  0.396
CYP2C19-inhibitor:  0.233
CYP2C19-substrate:  0.716
CYP2C9-inhibitor:  0.115
CYP2C9-substrate:  0.934
CYP2D6-inhibitor:  0.805
CYP2D6-substrate:  0.507
CYP3A4-inhibitor:  0.626
CYP3A4-substrate:  0.108

ADMET: Excretion

Clearance (CL):  3.585
Half-life (T1/2):  0.021

ADMET: Toxicity

hERG Blockers:  0.947
Human Hepatotoxicity (H-HT):  0.157
Drug-inuced Liver Injury (DILI):  0.048
AMES Toxicity:  0.026
Rat Oral Acute Toxicity:  0.014
Maximum Recommended Daily Dose:  0.211
Skin Sensitization:  0.983
Carcinogencity:  0.062
Eye Corrosion:  0.497
Eye Irritation:  0.882
Respiratory Toxicity:  0.924

Download Data

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

  Natural Product: NPC279643

Natural Product ID:  NPC279643
Common Name*:   HPWWQPXTUDMRBI-FOMNDROISA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  HPWWQPXTUDMRBI-FOMNDROISA-N
Standard InCHI:  InChI=1S/C16H22O11/c17-3-8-10(19)11(20)12(21)15(26-8)27-14-9-6(1-2-16(9,24)5-18)7(4-25-14)13(22)23/h1-2,4,6,8-12,14-15,17-21,24H,3,5H2,(H,22,23)/t6-,8+,9-,10+,11-,12+,14-,15-,16+/m0/s1
SMILES:  C1=C[C@@](CO)([C@H]2[C@@H]1C(=CO[C@H]2O[C@H]1[C@@H]([C@H]([C@@H]([C@@H](CO)O1)O)O)O)C(=O)O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0002049] Terpene glycosides
          • [CHEMONTID:0004081] Iridoid O-glycosides

*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
NPO18028 Isodon scoparius Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[19072209]
NPO22059 Eurythoe complanata Species Amphinomidae Eukaryota n.a. n.a. n.a. PMID[20028030]
NPO14409 Dioscorea nipponica Species Dioscoreaceae Eukaryota rhizomes n.a. n.a. PMID[23707257]
NPO18028 Isodon scoparius Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[28654256]
NPO14409 Dioscorea nipponica Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO15241 Lamium amplexicaule Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO14409 Dioscorea nipponica Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO15241 Lamium amplexicaule Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO14409 Dioscorea nipponica Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO14409 Dioscorea nipponica Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO14124 Virola minutiflora Species Myristicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22059 Eurythoe complanata Species Amphinomidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1163 Mantella expectata Species Mantellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18028 Isodon scoparius Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14409 Dioscorea nipponica Species Dioscoreaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5670 Chimaphila japonica Species Ericaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16376 Careya arborea Species Lecythidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17404 Rumex ecklonianus Species Polygonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15241 Lamium amplexicaule Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17103 Phellodendron lavallei Species Rutaceae 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 NPC279643 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 NPC279643 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