Structure

Physi-Chem Properties

Molecular Weight:  298.08
Volume:  299.778
LogP:  3.069
LogD:  1.929
LogS:  -3.501
# Rotatable Bonds:  2
TPSA:  83.83
# H-Bond Aceptor:  5
# H-Bond Donor:  2
# Rings:  3
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.385
Synthetic Accessibility Score:  2.932
Fsp3:  0.176
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:  -4.758
MDCK Permeability:  2.1961424863548018e-05
Pgp-inhibitor:  0.014
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.006
20% Bioavailability (F20%):  0.009
30% Bioavailability (F30%):  0.372

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.02
Plasma Protein Binding (PPB):  98.06590270996094%
Volume Distribution (VD):  0.779
Pgp-substrate:  3.599581480026245%

ADMET: Metabolism

CYP1A2-inhibitor:  0.963
CYP1A2-substrate:  0.233
CYP2C19-inhibitor:  0.287
CYP2C19-substrate:  0.11
CYP2C9-inhibitor:  0.777
CYP2C9-substrate:  0.501
CYP2D6-inhibitor:  0.537
CYP2D6-substrate:  0.183
CYP3A4-inhibitor:  0.517
CYP3A4-substrate:  0.152

ADMET: Excretion

Clearance (CL):  4.816
Half-life (T1/2):  0.568

ADMET: Toxicity

hERG Blockers:  0.028
Human Hepatotoxicity (H-HT):  0.54
Drug-inuced Liver Injury (DILI):  0.96
AMES Toxicity:  0.938
Rat Oral Acute Toxicity:  0.624
Maximum Recommended Daily Dose:  0.438
Skin Sensitization:  0.257
Carcinogencity:  0.963
Eye Corrosion:  0.003
Eye Irritation:  0.056
Respiratory Toxicity:  0.884

Download Data

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

  Natural Product: NPC80616

Natural Product ID:  NPC80616
Common Name*:   VRARPPQMEQUQET-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  VRARPPQMEQUQET-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C17H14O5/c1-2-22-8-12-13(18)7-11-14(17(12)21)16(20)10-6-4-3-5-9(10)15(11)19/h3-7,18,21H,2,8H2,1H3
SMILES:  CCOCc1c(cc2c(C(=O)c3ccccc3C2=O)c1O)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   28578
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000018] Anthracenes
        • [CHEMONTID:0000151] Anthraquinones
          • [CHEMONTID:0001598] Hydroxyanthraquinones

*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
NPO23980 Rhamnus nakaharai Species Rhamnaceae Eukaryota n.a. n.a. n.a. PMID[8691213]
NPO16765 Knoxia valerianoides Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13324 Euphorbia ingens Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO16765 Knoxia valerianoides Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO13324 Euphorbia ingens Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26368 Fomes tasmanicus Species Coriolaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2868 Perna viridis Species Mytilidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO861 Siphonaria funiculata Species Siphonariidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13446 Stachys recta Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23980 Rhamnus nakaharai Species Rhamnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11734 Chara corallina Species Characeae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16765 Knoxia valerianoides Species Rubiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24656 Scabiosa olgae Species Caprifoliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15917 Monilinia fructigena Species Sclerotiniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26859 Solanum curtipes Species Solanaceae 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 NPC80616 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 NPC80616 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