Structure

Physi-Chem Properties

Molecular Weight:  166.08
Volume:  209.676
LogP:  4.635
LogD:  3.312
LogS:  -4.663
# Rotatable Bonds:  2
TPSA:  0.0
# H-Bond Aceptor:  0
# H-Bond Donor:  0
# Rings:  0
# Heavy Atoms:  0

MedChem Properties

QED Drug-Likeness Score:  0.436
Synthetic Accessibility Score:  4.19
Fsp3:  0.077
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:  -3.923
MDCK Permeability:  7.492111035389826e-05
Pgp-inhibitor:  0.004
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.026
20% Bioavailability (F20%):  0.003
30% Bioavailability (F30%):  0.097

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.003
Plasma Protein Binding (PPB):  101.81873321533203%
Volume Distribution (VD):  1.183
Pgp-substrate:  2.7088236808776855%

ADMET: Metabolism

CYP1A2-inhibitor:  0.928
CYP1A2-substrate:  0.127
CYP2C19-inhibitor:  0.949
CYP2C19-substrate:  0.72
CYP2C9-inhibitor:  0.906
CYP2C9-substrate:  0.755
CYP2D6-inhibitor:  0.925
CYP2D6-substrate:  0.807
CYP3A4-inhibitor:  0.9
CYP3A4-substrate:  0.481

ADMET: Excretion

Clearance (CL):  4.54
Half-life (T1/2):  0.147

ADMET: Toxicity

hERG Blockers:  0.003
Human Hepatotoxicity (H-HT):  0.654
Drug-inuced Liver Injury (DILI):  0.99
AMES Toxicity:  0.492
Rat Oral Acute Toxicity:  0.942
Maximum Recommended Daily Dose:  0.874
Skin Sensitization:  0.98
Carcinogencity:  0.313
Eye Corrosion:  0.964
Eye Irritation:  0.994
Respiratory Toxicity:  0.819

Download Data

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

  Natural Product: NPC272700

Natural Product ID:  NPC272700
Common Name*:   AJWRNFIZKHPOHC-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  AJWRNFIZKHPOHC-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C13H10/c1-3-5-7-9-11-13-12-10-8-6-4-2/h3,5,7,9,11H,1H2,2H3
SMILES:  C=CC=CC=CC#CC#CC#CC
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002837] Hydrocarbons
      • [CHEMONTID:0004475] Unsaturated hydrocarbons
        • [CHEMONTID:0001566] Enynes

*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
NPO12666 Trachycarpus fortunei Species Arecaceae Eukaryota n.a. Serdang, Selangor, Malaysia n.a. DOI[10.1002/ejlt.201000369]
NPO12666 Trachycarpus fortunei Species Arecaceae Eukaryota n.a. n.a. n.a. DOI[10.1007/s11746-997-0093-1]
NPO12666 Trachycarpus fortunei Species Arecaceae Eukaryota n.a. n.a. n.a. DOI[10.1021/jf950732o]
NPO726 Echinacea angustifolia Species Asteraceae Eukaryota root n.a. n.a. PMID[15921428]
NPO15489 Ditaxis heterantha Species Mantispidae Eukaryota seeds n.a. n.a. PMID[16933864]
NPO12666 Trachycarpus fortunei Species Arecaceae Eukaryota n.a. n.a. n.a. PMID[21081239]
NPO23991 Anastrepta orcadensis Species Anastrophyllaceae Eukaryota n.a. n.a. n.a. PMID[21384863]
NPO16507 Carpesium lipskyi Species Asteraceae Eukaryota Whole Plants n.a. n.a. PMID[30869892]
NPO16579 Dracocephalum rupestre Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO12666 Trachycarpus fortunei Species Arecaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO16579 Dracocephalum rupestre Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12666 Trachycarpus fortunei Species Arecaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO12666 Trachycarpus fortunei Species Arecaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO16579 Dracocephalum rupestre Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9110 Artemisia deserti Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO726 Echinacea angustifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14371 Rhinanthus angustifolius Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16507 Carpesium lipskyi Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16619 Paraphyton cookei Species Arthrodermataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6537 Termes princeps Species Termitoidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15489 Ditaxis heterantha Species Mantispidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12666 Trachycarpus fortunei Species Arecaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23991 Anastrepta orcadensis Species Anastrophyllaceae 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 NPC272700 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 NPC272700 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