Structure

Physi-Chem Properties

Molecular Weight:  622.48
Volume:  685.017
LogP:  7.655
LogD:  4.664
LogS:  -4.286
# Rotatable Bonds:  27
TPSA:  123.52
# H-Bond Aceptor:  7
# H-Bond Donor:  5
# Rings:  2
# Heavy Atoms:  7

MedChem Properties

QED Drug-Likeness Score:  0.049
Synthetic Accessibility Score:  4.661
Fsp3:  0.838
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
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:  -5.279
MDCK Permeability:  1.4592965271731373e-05
Pgp-inhibitor:  0.001
Pgp-substrate:  0.931
Human Intestinal Absorption (HIA):  0.081
20% Bioavailability (F20%):  1.0
30% Bioavailability (F30%):  1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.006
Plasma Protein Binding (PPB):  100.05138397216797%
Volume Distribution (VD):  1.452
Pgp-substrate:  1.5949395895004272%

ADMET: Metabolism

CYP1A2-inhibitor:  0.031
CYP1A2-substrate:  0.317
CYP2C19-inhibitor:  0.049
CYP2C19-substrate:  0.055
CYP2C9-inhibitor:  0.085
CYP2C9-substrate:  0.972
CYP2D6-inhibitor:  0.009
CYP2D6-substrate:  0.135
CYP3A4-inhibitor:  0.149
CYP3A4-substrate:  0.018

ADMET: Excretion

Clearance (CL):  5.708
Half-life (T1/2):  0.61

ADMET: Toxicity

hERG Blockers:  0.271
Human Hepatotoxicity (H-HT):  0.432
Drug-inuced Liver Injury (DILI):  0.014
AMES Toxicity:  0.032
Rat Oral Acute Toxicity:  0.017
Maximum Recommended Daily Dose:  0.936
Skin Sensitization:  0.966
Carcinogencity:  0.038
Eye Corrosion:  0.003
Eye Irritation:  0.018
Respiratory Toxicity:  0.57

Download Data

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

  Natural Product: NPC144595

Natural Product ID:  NPC144595
Common Name*:   OOKJEMBYFZCLNC-GOXJHTIBSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  OOKJEMBYFZCLNC-GOXJHTIBSA-N
Standard InCHI:  InChI=1S/C37H66O7/c1-3-4-5-6-7-8-9-10-11-12-16-19-22-33(39)34(40)24-25-35(41)36-26-23-32(44-36)21-18-15-13-14-17-20-31(38)28-30-27-29(2)43-37(30)42/h12,16,27,29,31-36,38-41H,3-11,13-15,17-26,28H2,1-2H3/b16-12-/t29-,31-,32+,33+,34+,35-,36+/m0/s1
SMILES:  CCCCCCCCCC/C=CCC[C@H]([C@@H](CC[C@@H]([C@H]1CC[C@@H](CCCCCCC[C@@H](CC2=C[C@H](C)OC2=O)O)O1)O)O)O
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:0003909] Fatty Acyls
        • [CHEMONTID:0001334] Fatty alcohols
          • [CHEMONTID:0002518] Annonaceous acetogenins

*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
NPO20440 Chrysanthemum x morifolium Species Asteraceae Eukaryota Flowers n.a. n.a. DOI[10.1016/j.foodchem.2009.03.042]
NPO20440 Chrysanthemum x morifolium Species Asteraceae Eukaryota Flowers n.a. n.a. DOI[10.3136/fstr.15.499]
NPO20440 Chrysanthemum x morifolium Species Asteraceae Eukaryota Flowers n.a. n.a. DOI[10.5897/AJB10.140]
NPO20440 Chrysanthemum x morifolium Species Asteraceae Eukaryota Flowers n.a. n.a. DOI[10.5897/AJB2010.000-3252]
NPO22471 Maytenus cuzcoina Species Celastraceae Eukaryota root bark;leaves Huayllabamba-Urquillos, Province of Urabamba, Cusco (Peru); Parque Nacional El Imposible, El Salvador n.a. PMID[16038541]
NPO20440 Chrysanthemum x morifolium Species Asteraceae Eukaryota Flowers Tongxiang, China n.a. PMID[24621197]
NPO11296 Arthrinium arundinis Species Apiosporaceae Eukaryota n.a. n.a. n.a. PMID[25626143]
NPO22471 Maytenus cuzcoina Species Celastraceae Eukaryota root bark Urubamba, Cusco, Peru n.a. PMID[25927586]
NPO20440 Chrysanthemum x morifolium Species Asteraceae Eukaryota Flowers n.a. n.a. PMID[28248102]
NPO22524 Ranunculus sceleratus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO20440 Chrysanthemum x morifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22524 Ranunculus sceleratus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO22409 Cyanostegia microphylla Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO20440 Chrysanthemum x morifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO1118 Elymus repens Species Poaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22806 Euphorbia leuconeura Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22409 Cyanostegia microphylla Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13457 Acacia pachyphloia Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16652 Centipeda cunninghami Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19626 Lavandula dentata Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21358 Pyrus ussuriensis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22593 Graphis rikuzensis Species Aclididae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20702 Discodermia dissoluta Species Theonellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22524 Ranunculus sceleratus Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11296 Arthrinium arundinis Species Apiosporaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22471 Maytenus cuzcoina Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20440 Chrysanthemum x morifolium Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9876 Isocoma pluriflora Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20567 Montipora mollis Species Acroporidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22006 Maytenus aquifolium Species Celastraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2217 Valeriana wolgensis Species Caprifoliaceae 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 NPC144595 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 NPC144595 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