Structure

Physi-Chem Properties

Molecular Weight:  670.42
Volume:  747.718
LogP:  9.247
LogD:  6.368
LogS:  -3.903
# Rotatable Bonds:  14
TPSA:  108.74
# H-Bond Aceptor:  6
# H-Bond Donor:  2
# Rings:  3
# Heavy Atoms:  6

MedChem Properties

QED Drug-Likeness Score:  0.088
Synthetic Accessibility Score:  5.7
Fsp3:  0.535
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  2
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.157
MDCK Permeability:  1.8994396668858826e-05
Pgp-inhibitor:  0.011
Pgp-substrate:  0.262
Human Intestinal Absorption (HIA):  0.336
20% Bioavailability (F20%):  0.953
30% Bioavailability (F30%):  0.944

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.017
Plasma Protein Binding (PPB):  100.42900848388672%
Volume Distribution (VD):  1.016
Pgp-substrate:  2.171215057373047%

ADMET: Metabolism

CYP1A2-inhibitor:  0.046
CYP1A2-substrate:  0.16
CYP2C19-inhibitor:  0.776
CYP2C19-substrate:  0.346
CYP2C9-inhibitor:  0.902
CYP2C9-substrate:  0.994
CYP2D6-inhibitor:  0.801
CYP2D6-substrate:  0.037
CYP3A4-inhibitor:  0.84
CYP3A4-substrate:  0.724

ADMET: Excretion

Clearance (CL):  11.016
Half-life (T1/2):  0.171

ADMET: Toxicity

hERG Blockers:  0.006
Human Hepatotoxicity (H-HT):  0.742
Drug-inuced Liver Injury (DILI):  0.94
AMES Toxicity:  0.01
Rat Oral Acute Toxicity:  0.798
Maximum Recommended Daily Dose:  0.628
Skin Sensitization:  0.056
Carcinogencity:  0.204
Eye Corrosion:  0.023
Eye Irritation:  0.611
Respiratory Toxicity:  0.941

Download Data

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

  Natural Product: NPC141650

Natural Product ID:  NPC141650
Common Name*:   OGBLTDAGYQWRIK-QLYXZYETSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  OGBLTDAGYQWRIK-QLYXZYETSA-N
Standard InCHI:  InChI=1S/C43H58O6/c1-27(2)13-11-15-30(7)17-19-33-26-42(23-22-31(8)16-12-14-28(3)4)38(47)36(37(46)32-18-20-34(44)35(45)25-32)39(48)43(40(42)49,41(33,9)10)24-21-29(5)6/h13-14,17-18,20-22,25,33,44-45,47H,11-12,15-16,19,23-24,26H2,1-10H3/b30-17+,31-22+/t33-,42+,43-/m1/s1
SMILES:  CC(=CCC/C(=C/C[C@@H]1C[C@@]2(C/C=C(C)/CCC=C(C)C)C(=C(C(=O)c3ccc(c(c3)O)O)C(=O)[C@](CC=C(C)C)(C2=O)C1(C)C)O)/C)C
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:0001550] Sesquiterpenoids

*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
NPO5276 Zanthoxylum decaryi Species Rutaceae Eukaryota n.a. n.a. n.a. DOI[10.1016/0031-9422(74)80113-5]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. whole plant n.a. PMID[10361686]
NPO11471 Garcinia oblongifolia Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[16724839]
NPO11471 Garcinia oblongifolia Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[19113969]
NPO11471 Garcinia oblongifolia Species Clusiaceae Eukaryota leaves Bobai, Guangxi Province, China 2005-Dec PMID[24679044]
NPO11471 Garcinia oblongifolia Species Clusiaceae Eukaryota Barks n.a. n.a. PMID[24754786]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO5276 Zanthoxylum decaryi Species Rutaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO5276 Zanthoxylum decaryi Species Rutaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11471 Garcinia oblongifolia Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6948 Davidsoniella virescens Species Ceratocystidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15242 Setosphaeria holmii Species Pleosporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9298 Piper wightii Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5276 Zanthoxylum decaryi Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26341 Trifolium resupinatum Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2812 Lecanora kukunorensis Species Lecanoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6775 Cistanche salsa Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10228 Ascochyta viciae Species Didymellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1154 Neomeris annulata Species Dasycladaceae 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 NPC141650 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 NPC141650 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