Structure

Physi-Chem Properties

Molecular Weight:  378.17
Volume:  377.156
LogP:  1.082
LogD:  0.924
LogS:  -2.442
# Rotatable Bonds:  3
TPSA:  102.29
# H-Bond Aceptor:  7
# H-Bond Donor:  2
# Rings:  3
# Heavy Atoms:  7

MedChem Properties

QED Drug-Likeness Score:  0.427
Synthetic Accessibility Score:  6.101
Fsp3:  0.6
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  2
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.805
MDCK Permeability:  2.51975106948521e-05
Pgp-inhibitor:  0.663
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.086
20% Bioavailability (F20%):  0.024
30% Bioavailability (F30%):  0.98

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.292
Plasma Protein Binding (PPB):  72.22542572021484%
Volume Distribution (VD):  1.469
Pgp-substrate:  16.647361755371094%

ADMET: Metabolism

CYP1A2-inhibitor:  0.043
CYP1A2-substrate:  0.376
CYP2C19-inhibitor:  0.25
CYP2C19-substrate:  0.808
CYP2C9-inhibitor:  0.312
CYP2C9-substrate:  0.047
CYP2D6-inhibitor:  0.007
CYP2D6-substrate:  0.065
CYP3A4-inhibitor:  0.721
CYP3A4-substrate:  0.628

ADMET: Excretion

Clearance (CL):  7.491
Half-life (T1/2):  0.819

ADMET: Toxicity

hERG Blockers:  0.02
Human Hepatotoxicity (H-HT):  0.806
Drug-inuced Liver Injury (DILI):  0.841
AMES Toxicity:  0.158
Rat Oral Acute Toxicity:  0.952
Maximum Recommended Daily Dose:  0.955
Skin Sensitization:  0.494
Carcinogencity:  0.195
Eye Corrosion:  0.013
Eye Irritation:  0.036
Respiratory Toxicity:  0.87

Download Data

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

  Natural Product: NPC223198

Natural Product ID:  NPC223198
Common Name*:   WGVJNQGTZSPMCY-RPBBZJPTSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  WGVJNQGTZSPMCY-RPBBZJPTSA-N
Standard InCHI:  InChI=1S/C20H26O7/c1-6-10(2)17(22)26-14-8-19(5)15(21)9-20(24,27-19)11(3)7-13-16(14)12(4)18(23)25-13/h6-7,13-16,21,24H,4,8-9H2,1-3,5H3/b10-6+,11-7-/t13-,14-,15+,16+,19-,20-/m1/s1
SMILES:  C/C=C(C)/C(=O)O[C@@H]1C[C@]2(C)[C@H](C[C@@](/C(=C[C@@H]3[C@@H]1C(=C)C(=O)O3)/C)(O)O2)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   5320177
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001283] Terpene lactones

*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
NPO19629 Laurencia scoparia Species Rhodomelaceae Eukaryota n.a. n.a. n.a. PMID[11754610]
NPO11074 Mycale izuensis Species Mycalidae Eukaryota n.a. n.a. n.a. PMID[12088446]
NPO18159 Crypteronia paniculata Species Crypteroniaceae Eukaryota n.a. n.a. n.a. PMID[12502343]
NPO18159 Crypteronia paniculata Species Crypteroniaceae Eukaryota n.a. n.a. n.a. PMID[15787463]
NPO19629 Laurencia scoparia Species Rhodomelaceae Eukaryota n.a. n.a. n.a. PMID[16872159]
NPO15112 Premna oligotricha Species Lamiaceae Eukaryota n.a. n.a. n.a. PMID[8450316]
NPO17110 Barleria prionitis Species Acanthaceae Eukaryota n.a. n.a. n.a. PMID[9784173]
NPO17989 Astragalus falcatus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17989 Astragalus falcatus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO9841 Picramnia hirsuta Species Picramniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16972 Penicillium spiculisporum Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19629 Laurencia scoparia Species Rhodomelaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17110 Barleria prionitis Species Acanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11074 Mycale izuensis Species Mycalidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19081 Iris halophila Species Iridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18159 Crypteronia paniculata Species Crypteroniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19007 Lycopodium fastigiatum Species Lycopodiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17486 Alpinia javanica Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18837 Ulva rigida Species Ulvaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23391 Nidula niveotomentosa Species Nidulariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17989 Astragalus falcatus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO15112 Premna oligotricha Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19433 Trichocline caulescens 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 NPC223198 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 NPC223198 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