Structure

Physi-Chem Properties

Molecular Weight:  330.26
Volume:  373.07
LogP:  5.047
LogD:  4.152
LogS:  -4.945
# Rotatable Bonds:  3
TPSA:  26.3
# H-Bond Aceptor:  2
# H-Bond Donor:  0
# Rings:  3
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.596
Synthetic Accessibility Score:  4.463
Fsp3:  0.773
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.723
MDCK Permeability:  1.8174694560002536e-05
Pgp-inhibitor:  0.968
Pgp-substrate:  0.002
Human Intestinal Absorption (HIA):  0.006
20% Bioavailability (F20%):  0.985
30% Bioavailability (F30%):  0.983

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.243
Plasma Protein Binding (PPB):  96.90618133544922%
Volume Distribution (VD):  1.827
Pgp-substrate:  3.508938789367676%

ADMET: Metabolism

CYP1A2-inhibitor:  0.273
CYP1A2-substrate:  0.495
CYP2C19-inhibitor:  0.731
CYP2C19-substrate:  0.936
CYP2C9-inhibitor:  0.79
CYP2C9-substrate:  0.299
CYP2D6-inhibitor:  0.253
CYP2D6-substrate:  0.102
CYP3A4-inhibitor:  0.881
CYP3A4-substrate:  0.753

ADMET: Excretion

Clearance (CL):  3.094
Half-life (T1/2):  0.326

ADMET: Toxicity

hERG Blockers:  0.11
Human Hepatotoxicity (H-HT):  0.642
Drug-inuced Liver Injury (DILI):  0.052
AMES Toxicity:  0.016
Rat Oral Acute Toxicity:  0.042
Maximum Recommended Daily Dose:  0.927
Skin Sensitization:  0.926
Carcinogencity:  0.786
Eye Corrosion:  0.117
Eye Irritation:  0.588
Respiratory Toxicity:  0.967

Download Data

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

  Natural Product: NPC148854

Natural Product ID:  NPC148854
Common Name*:   DCQFUTANYUEHLR-QAFSZGABSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  DCQFUTANYUEHLR-QAFSZGABSA-N
Standard InCHI:  InChI=1S/C15H24O2/c1-11-4-3-5-12(9-16)8-14-13(7-6-11)15(14,2)10-17/h4,8,13-14,16-17H,3,5-7,9-10H2,1-2H3/b11-4+,12-8+/t13-,14+,15+/m1/s1
SMILES:  C/C/1=CCC/C(=C[C@H]2[C@@H](CC1)[C@]2(C)CO)/CO
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   10263521
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001550] Sesquiterpenoids
          • [CHEMONTID:0002456] Germacrane 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
NPO4041 Guatteria multivenia Species Annonaceae Eukaryota Roots n.a. n.a. PMID[12088427]
NPO12425 Combretum griffithii Species Combretaceae Eukaryota n.a. stem n.a. PMID[21919533]
NPO1168 Euphorbia sikkimensis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[23327832]
NPO12425 Combretum griffithii Species Combretaceae Eukaryota Stems n.a. n.a. PMID[23795891]
NPO1168 Euphorbia sikkimensis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[26756779]
NPO3371 Podocarpus nubigenus Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3371 Podocarpus nubigenus Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO3371 Podocarpus nubigenus Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[TCM_Taiwan]
NPO1168 Euphorbia sikkimensis Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6236 Polymastia boletiformis Species Polymastiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10358 Bupleurum gerardi Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2292 Teclea verdoorniana Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4563 Clinopodium acinos Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3371 Podocarpus nubigenus Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4041 Guatteria multivenia Species Annonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10562 Aglaia archboldiana Species Meliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7993 Euclea pseudebenus Species Ebenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12769 Hosta sieboldii Species Asparagaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12425 Combretum griffithii Species Combretaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13101 Passiflora hybrid Species Passifloraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4973 Cirsium rivulare Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1798 Duguetia obovata Species Annonaceae 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 NPC148854 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 NPC148854 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