Structure

Physi-Chem Properties

Molecular Weight:  360.19
Volume:  388.712
LogP:  5.345
LogD:  3.664
LogS:  -3.351
# Rotatable Bonds:  10
TPSA:  94.83
# H-Bond Aceptor:  5
# H-Bond Donor:  3
# Rings:  1
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.315
Synthetic Accessibility Score:  3.2
Fsp3:  0.429
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.929
MDCK Permeability:  6.873980055388529e-06
Pgp-inhibitor:  0.008
Pgp-substrate:  0.008
Human Intestinal Absorption (HIA):  0.076
20% Bioavailability (F20%):  0.922
30% Bioavailability (F30%):  0.957

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.043
Plasma Protein Binding (PPB):  97.41109466552734%
Volume Distribution (VD):  0.415
Pgp-substrate:  2.122286081314087%

ADMET: Metabolism

CYP1A2-inhibitor:  0.157
CYP1A2-substrate:  0.112
CYP2C19-inhibitor:  0.144
CYP2C19-substrate:  0.056
CYP2C9-inhibitor:  0.511
CYP2C9-substrate:  0.974
CYP2D6-inhibitor:  0.153
CYP2D6-substrate:  0.247
CYP3A4-inhibitor:  0.074
CYP3A4-substrate:  0.057

ADMET: Excretion

Clearance (CL):  13.451
Half-life (T1/2):  0.864

ADMET: Toxicity

hERG Blockers:  0.012
Human Hepatotoxicity (H-HT):  0.722
Drug-inuced Liver Injury (DILI):  0.042
AMES Toxicity:  0.007
Rat Oral Acute Toxicity:  0.063
Maximum Recommended Daily Dose:  0.044
Skin Sensitization:  0.675
Carcinogencity:  0.615
Eye Corrosion:  0.014
Eye Irritation:  0.475
Respiratory Toxicity:  0.265

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

  Natural Product: NPC82455

Natural Product ID:  NPC82455
Common Name*:   PNXHXPQJFNVWQM-AHQMPEJBSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  PNXHXPQJFNVWQM-AHQMPEJBSA-N
Standard InCHI:  InChI=1S/C21H28O5/c1-14(2)6-4-7-15(3)8-5-9-16(21(25)26)12-20(24)18-13-17(22)10-11-19(18)23/h6,8,10-11,13,16,22-23H,4-5,7,9,12H2,1-3H3,(H,25,26)/b15-8+/t16-/m0/s1
SMILES:  CC(=CCC/C(=C/CC[C@@H](CC(=O)c1cc(ccc1O)O)C(=O)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
NPO26499 Dorstenia kameruniana Species Moraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO26499 Dorstenia kameruniana Species Moraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24129 Bifurcaria bifurcata Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO17880 Phlomis spinidens Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO24680 Evernia illyrica Species Parmeliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25315 Tragopogon dasyrhynchus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25750 Irvingia gabonensis Species Irvingiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25882 Salix americana Species Salicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10307 Leccinum extremiorientale Species Boletaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26441 Sideritis angustifolia Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22023 Scutellaria tenax Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23515 Chrysanthemum yoshinaganthum Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24129 Bifurcaria bifurcata Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26499 Dorstenia kameruniana Species Moraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17880 Phlomis spinidens Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23310 Flourensia resinosa Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28723 Ia io Species Vespertilionidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26067 Acacia sutherlandii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24345 Amoora stellato-squamosa n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO26837 Laurencia grevilleana Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22255 Dendrodochium toxicum Species Bionectriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6443 Amesia atrobrunnea Species Chaetomiaceae 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 NPC82455 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 NPC82455 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