Structure

Physi-Chem Properties

Molecular Weight:  656.61
Volume:  776.848
LogP:  15.969
LogD:  5.598
LogS:  -7.77
# Rotatable Bonds:  38
TPSA:  46.53
# H-Bond Aceptor:  3
# H-Bond Donor:  1
# Rings:  1
# Heavy Atoms:  3

MedChem Properties

QED Drug-Likeness Score:  0.057
Synthetic Accessibility Score:  2.4
Fsp3:  0.841
Lipinski Rule-of-5:  Rejected
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:  -5.583
MDCK Permeability:  8.52637072057405e-07
Pgp-inhibitor:  0.0
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.004
20% Bioavailability (F20%):  0.52
30% Bioavailability (F30%):  1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.0
Plasma Protein Binding (PPB):  105.56822967529297%
Volume Distribution (VD):  4.979
Pgp-substrate:  0.2049199491739273%

ADMET: Metabolism

CYP1A2-inhibitor:  0.015
CYP1A2-substrate:  0.092
CYP2C19-inhibitor:  0.087
CYP2C19-substrate:  0.035
CYP2C9-inhibitor:  0.01
CYP2C9-substrate:  0.996
CYP2D6-inhibitor:  0.017
CYP2D6-substrate:  0.012
CYP3A4-inhibitor:  0.131
CYP3A4-substrate:  0.014

ADMET: Excretion

Clearance (CL):  4.755
Half-life (T1/2):  0.011

ADMET: Toxicity

hERG Blockers:  0.673
Human Hepatotoxicity (H-HT):  0.005
Drug-inuced Liver Injury (DILI):  0.243
AMES Toxicity:  0.014
Rat Oral Acute Toxicity:  0.005
Maximum Recommended Daily Dose:  0.031
Skin Sensitization:  0.992
Carcinogencity:  0.013
Eye Corrosion:  0.764
Eye Irritation:  0.915
Respiratory Toxicity:  0.314

Download Data

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

  Natural Product: NPC114844

Natural Product ID:  NPC114844
Common Name*:   XXNPILBXOYDBBZ-UHFFFAOYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  XXNPILBXOYDBBZ-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C44H80O3/c1-2-3-4-5-6-7-8-9-10-11-12-13-14-15-16-17-18-19-20-21-22-23-24-25-26-27-28-29-30-31-32-33-34-35-44(46)47-41-40-42-36-38-43(45)39-37-42/h36-39,45H,2-35,40-41H2,1H3
SMILES:  CCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCCC(=O)OCCc1ccc(cc1)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   102420150
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0000134] Phenols
        • [CHEMONTID:0000139] Tyrosols and derivatives

*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
NPO4756 Mesua elegans Species Calophyllaceae Eukaryota n.a. n.a. n.a. PMID[20943395]
NPO5710 Michelia rajaniana Species Magnoliaceae Eukaryota n.a. n.a. n.a. PMID[3236012]
NPO12990 Umbelopsis vinacea Species Umbelopsidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8378 Fagara heitzii n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO6557 Lotus villosus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5060 Onychopetalum amazonicum Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9469 Digitalis obscura Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25530 Daphne blagayana Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO29440 Sarcomyxa serotina Species Tricholomataceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4442 Artemisia austriaca Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO81 Erythrina orientalis Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3215 Phora atra Species Phoridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5710 Michelia rajaniana Species Magnoliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9318 Stevia serrata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4756 Mesua elegans Species Calophyllaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO924 Russula subnigricans Species Russulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28383 Vernonia tufnellae Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11244 Chrysolaena propinqua Species Asteraceae 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 NPC114844 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 NPC114844 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