Structure

Physi-Chem Properties

Molecular Weight:  572.37
Volume:  604.823
LogP:  5.383
LogD:  4.415
LogS:  -5.463
# Rotatable Bonds:  8
TPSA:  106.2
# H-Bond Aceptor:  7
# H-Bond Donor:  2
# Rings:  5
# Heavy Atoms:  7

MedChem Properties

QED Drug-Likeness Score:  0.362
Synthetic Accessibility Score:  5.412
Fsp3:  0.824
Lipinski Rule-of-5:  Rejected
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Rejected
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.981
MDCK Permeability:  1.5949071894283406e-05
Pgp-inhibitor:  0.993
Pgp-substrate:  0.063
Human Intestinal Absorption (HIA):  0.003
20% Bioavailability (F20%):  0.004
30% Bioavailability (F30%):  0.913

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.189
Plasma Protein Binding (PPB):  92.02760314941406%
Volume Distribution (VD):  0.787
Pgp-substrate:  2.836970806121826%

ADMET: Metabolism

CYP1A2-inhibitor:  0.031
CYP1A2-substrate:  0.152
CYP2C19-inhibitor:  0.038
CYP2C19-substrate:  0.744
CYP2C9-inhibitor:  0.292
CYP2C9-substrate:  0.328
CYP2D6-inhibitor:  0.007
CYP2D6-substrate:  0.24
CYP3A4-inhibitor:  0.57
CYP3A4-substrate:  0.544

ADMET: Excretion

Clearance (CL):  9.776
Half-life (T1/2):  0.255

ADMET: Toxicity

hERG Blockers:  0.033
Human Hepatotoxicity (H-HT):  0.341
Drug-inuced Liver Injury (DILI):  0.173
AMES Toxicity:  0.004
Rat Oral Acute Toxicity:  0.156
Maximum Recommended Daily Dose:  0.896
Skin Sensitization:  0.869
Carcinogencity:  0.047
Eye Corrosion:  0.01
Eye Irritation:  0.044
Respiratory Toxicity:  0.971

Download Data

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

  Natural Product: NPC164190

Natural Product ID:  NPC164190
Common Name*:   FGNQJOICDXUFFV-WTUFBBEJSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  FGNQJOICDXUFFV-WTUFBBEJSA-N
Standard InCHI:  InChI=1S/C34H52O7/c1-9-27(36)40-21(4)31(5)14-10-15-32(6)23(31)13-16-33(7)24-12-11-22-20(3)39-30(38)29(22)34(24,8)26(18-25(32)33)41-28(37)17-19(2)35/h19-21,23-26,35H,9-18H2,1-8H3/t19-,20-,21+,23-,24-,25+,26-,31+,32-,33-,34+/m0/s1
SMILES:  CCC(=O)O[C@H](C)[C@@]1(C)CCC[C@@]2(C)[C@H]1CC[C@@]1(C)[C@@H]3CCC4=C(C(=O)O[C@H]4C)[C@@]3(C)[C@H](C[C@H]21)OC(=O)C[C@H](C)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:0000259] Prenol lipids
        • [CHEMONTID:0001552] Sesterterpenoids
          • [CHEMONTID:0002883] Scalarane sesterterpenoids

*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
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. root n.a. PMID[11374978]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[15679317]
NPO4645 Grewia bilamellata Species n.a. n.a. n.a. n.a. n.a. PMID[16562832]
NPO16258 Holothuria fuscocinerea Species Holothuriidae Eukaryota n.a. collected at a depth of 2-30 m by a fishery bottom trawler from offshore waters of Leizhou Bay (Zhanjiang, Guangdong Province) in the South China Sea 2004-NOV PMID[17067169]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. root n.a. PMID[17997069]
NPO4250 Gloriosa superba Species Colchicaceae Eukaryota n.a. n.a. n.a. PMID[32372642]
NPO4250 Gloriosa superba Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO4250 Gloriosa superba Species Colchicaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO4645 Grewia bilamellata Species n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO11438 Angelica gigas Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16258 Holothuria fuscocinerea Species Holothuriidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4250 Gloriosa superba Species Colchicaceae 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 NPC164190 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 NPC164190 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