Structure

Physi-Chem Properties

Molecular Weight:  182.06
Volume:  180.279
LogP:  1.078
LogD:  1.157
LogS:  -1.684
# Rotatable Bonds:  3
TPSA:  55.76
# H-Bond Aceptor:  4
# H-Bond Donor:  1
# Rings:  1
# Heavy Atoms:  4

MedChem Properties

QED Drug-Likeness Score:  0.714
Synthetic Accessibility Score:  2.097
Fsp3:  0.222
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  1
Golden Triangle Rule:  Rejected
Chelating Alert:  1
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.68
MDCK Permeability:  1.339551181445131e-05
Pgp-inhibitor:  0.0
Pgp-substrate:  0.03
Human Intestinal Absorption (HIA):  0.018
20% Bioavailability (F20%):  0.003
30% Bioavailability (F30%):  0.005

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.836
Plasma Protein Binding (PPB):  76.98363494873047%
Volume Distribution (VD):  0.657
Pgp-substrate:  22.017730712890625%

ADMET: Metabolism

CYP1A2-inhibitor:  0.857
CYP1A2-substrate:  0.916
CYP2C19-inhibitor:  0.04
CYP2C19-substrate:  0.4
CYP2C9-inhibitor:  0.025
CYP2C9-substrate:  0.692
CYP2D6-inhibitor:  0.012
CYP2D6-substrate:  0.385
CYP3A4-inhibitor:  0.049
CYP3A4-substrate:  0.225

ADMET: Excretion

Clearance (CL):  8.805
Half-life (T1/2):  0.871

ADMET: Toxicity

hERG Blockers:  0.034
Human Hepatotoxicity (H-HT):  0.021
Drug-inuced Liver Injury (DILI):  0.027
AMES Toxicity:  0.071
Rat Oral Acute Toxicity:  0.058
Maximum Recommended Daily Dose:  0.058
Skin Sensitization:  0.545
Carcinogencity:  0.027
Eye Corrosion:  0.96
Eye Irritation:  0.984
Respiratory Toxicity:  0.714

Download Data

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

  Natural Product: NPC239540

Natural Product ID:  NPC239540
Common Name*:   NVLTWXMZECWWPC-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  NVLTWXMZECWWPC-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C9H10O4/c1-12-8-4-6(5-10)3-7(11)9(8)13-2/h3-5,11H,1-2H3
SMILES:  COc1cc(cc(c1OC)O)C=O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   141513
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000134] Phenols
        • [CHEMONTID:0000190] Methoxyphenols

*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
NPO9553 Phyllodium pulchellum Species Fabaceae Eukaryota n.a. n.a. n.a. PMID[15921433]
NPO5131 Scorzonera hispanica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9783 Mikania scandens Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9783 Mikania scandens Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5131 Scorzonera hispanica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9783 Mikania scandens Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO12591 Archaster typicus Species Archasteridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6386 Gutenbergia cordifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8601 Petrosia volcano Species Petrosiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13042 Diospyros abyssinica Species Ebenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12233 Diospyros peregrina Species Ebenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4746 Centaurea arenaria Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11333 Trapa japonica Species Lythraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9553 Phyllodium pulchellum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9361 Aplophyllum villosum n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO1326 Cratystylis conocephala Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22899 Phaeotremella fagi Species Phaeotremellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9783 Mikania scandens Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5131 Scorzonera hispanica Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12367 Diospyros elliptifolia Species Ebenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13555 Beaucarnea recurvata Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7870 Zanthoxylum piperitum Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12819 Clitocybe subilludens Species Tricholomataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9989 Cotylelobium scabriusculum Species Dipterocarpaceae 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 NPC239540 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 NPC239540 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