Structure

Physi-Chem Properties

Molecular Weight:  514.37
Volume:  555.287
LogP:  6.177
LogD:  4.768
LogS:  -4.792
# Rotatable Bonds:  3
TPSA:  83.83
# H-Bond Aceptor:  5
# H-Bond Donor:  2
# Rings:  5
# Heavy Atoms:  5

MedChem Properties

QED Drug-Likeness Score:  0.314
Synthetic Accessibility Score:  4.842
Fsp3:  0.875
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:  -5.405
MDCK Permeability:  2.303390829183627e-05
Pgp-inhibitor:  0.019
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.016
20% Bioavailability (F20%):  0.032
30% Bioavailability (F30%):  0.887

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.054
Plasma Protein Binding (PPB):  93.8128433227539%
Volume Distribution (VD):  0.715
Pgp-substrate:  4.2328691482543945%

ADMET: Metabolism

CYP1A2-inhibitor:  0.009
CYP1A2-substrate:  0.237
CYP2C19-inhibitor:  0.02
CYP2C19-substrate:  0.791
CYP2C9-inhibitor:  0.253
CYP2C9-substrate:  0.833
CYP2D6-inhibitor:  0.013
CYP2D6-substrate:  0.093
CYP3A4-inhibitor:  0.253
CYP3A4-substrate:  0.301

ADMET: Excretion

Clearance (CL):  1.659
Half-life (T1/2):  0.135

ADMET: Toxicity

hERG Blockers:  0.004
Human Hepatotoxicity (H-HT):  0.217
Drug-inuced Liver Injury (DILI):  0.032
AMES Toxicity:  0.008
Rat Oral Acute Toxicity:  0.181
Maximum Recommended Daily Dose:  0.807
Skin Sensitization:  0.044
Carcinogencity:  0.051
Eye Corrosion:  0.073
Eye Irritation:  0.061
Respiratory Toxicity:  0.973

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

  Natural Product: NPC223485

Natural Product ID:  NPC223485
Common Name*:   SFIVNCSFGSWUOR-PROZZQCMSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  SFIVNCSFGSWUOR-PROZZQCMSA-N
Standard InCHI:  InChI=1S/C32H50O5/c1-19(33)37-25-22(34)18-29(6)23(28(25,4)5)11-12-31(8)24(29)10-9-20-21-17-27(2,3)13-15-32(21,26(35)36)16-14-30(20,31)7/h9,21-25,34H,10-18H2,1-8H3,(H,35,36)/t21-,22+,23-,24+,25-,29-,30+,31+,32-/m0/s1
SMILES:  CC(=O)O[C@H]1[C@@H](C[C@@]2(C)[C@@H](CC[C@]3(C)[C@@H]2CC=C2[C@@H]4CC(C)(C)CC[C@@]4(CC[C@@]32C)C(=O)O)C1(C)C)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   86577530
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001553] Triterpenoids

*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
NPO25546 Eucalyptus occidentalis Species Myrtaceae Eukaryota n.a. n.a. n.a. PMID[15104478]
NPO17475 Thermococcus kodakarensis Species Thermococcaceae Archaea n.a. n.a. n.a. PMID[24610711]
NPO12109 Cyathocline lyrata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25204 Millettia thonningii Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO22860 Veronica orientalis Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24856 Calea subcordata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25342 Veronica virginica Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25546 Eucalyptus occidentalis Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17475 Thermococcus kodakarensis Species Thermococcaceae Archaea n.a. n.a. n.a. Database[UNPD]
NPO24901 Ochna obtusata Species Ochnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16421 Chalciporus piperatus Species Boletaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO21565 Ceramaster patagonicus Species Goniasteridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24432 Oxylobus oaxacanus n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO1646 Balsamorhiza hookeri Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12229 Woodwardia prolifera Species Blechnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17056 Ligularia anoleuca Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO901 Flourensia ilicifolia Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11323 Siphonochilus aethiopicus Species Zingiberaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11106 0thofagus dombeyi Species 0thofagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11612 Protea roupelliae Species Proteaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO23712 Gardenia lucida Species Rubiaceae 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 NPC223485 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 NPC223485 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