Structure

Physi-Chem Properties

Molecular Weight:  316.24
Volume:  355.774
LogP:  4.995
LogD:  4.289
LogS:  -5.192
# 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:  0.511
Synthetic Accessibility Score:  4.435
Fsp3:  0.762
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:  -4.738
MDCK Permeability:  3.0832950869807974e-05
Pgp-inhibitor:  0.011
Pgp-substrate:  0.0
Human Intestinal Absorption (HIA):  0.003
20% Bioavailability (F20%):  0.929
30% Bioavailability (F30%):  0.542

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.046
Plasma Protein Binding (PPB):  95.0501937866211%
Volume Distribution (VD):  1.012
Pgp-substrate:  4.195692539215088%

ADMET: Metabolism

CYP1A2-inhibitor:  0.163
CYP1A2-substrate:  0.583
CYP2C19-inhibitor:  0.291
CYP2C19-substrate:  0.902
CYP2C9-inhibitor:  0.318
CYP2C9-substrate:  0.48
CYP2D6-inhibitor:  0.434
CYP2D6-substrate:  0.424
CYP3A4-inhibitor:  0.952
CYP3A4-substrate:  0.399

ADMET: Excretion

Clearance (CL):  3.77
Half-life (T1/2):  0.165

ADMET: Toxicity

hERG Blockers:  0.012
Human Hepatotoxicity (H-HT):  0.167
Drug-inuced Liver Injury (DILI):  0.042
AMES Toxicity:  0.004
Rat Oral Acute Toxicity:  0.019
Maximum Recommended Daily Dose:  0.821
Skin Sensitization:  0.297
Carcinogencity:  0.096
Eye Corrosion:  0.045
Eye Irritation:  0.665
Respiratory Toxicity:  0.92

Download Data

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

  Natural Product: NPC96471

Natural Product ID:  NPC96471
Common Name*:   QMZKBAQNFAMESG-GBMAXXPESA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  QMZKBAQNFAMESG-GBMAXXPESA-N
Standard InCHI:  InChI=1S/C21H32O2/c1-6-19(2)13-10-16-15(14-19)8-9-17-20(16,3)11-7-12-21(17,4)18(22)23-5/h6,8,16-17H,1,7,9-14H2,2-5H3/t16-,17+,19-,20+,21+/m0/s1
SMILES:  C=C[C@@]1(C)CC[C@H]2C(=CC[C@@H]3[C@]2(C)CCC[C@@]3(C)C(=O)OC)C1
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   3032412
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000259] Prenol lipids
        • [CHEMONTID:0001551] Diterpenoids

*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
NPO25880 Sarcococca coriacea Species Buxaceae Eukaryota leaves Nepalese n.a. PMID[11421762]
NPO9829 Arnica chamissonis Species Asteraceae Eukaryota n.a. rhizome n.a. PMID[16644542]
NPO9829 Arnica chamissonis Species Asteraceae Eukaryota n.a. root n.a. PMID[16644542]
NPO9829 Arnica chamissonis Species Asteraceae Eukaryota n.a. n.a. n.a. PMID[23501116]
NPO24299 Litsea laurifolia Species Lauraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO24299 Litsea laurifolia Species Lauraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO25483 Croton cortesianus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24568 Spongia zimocca Species Spongiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26279 Premna schimperi Species Lamiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9829 Arnica chamissonis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26582 Erigeron sumatrensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26464 Macaranga indica Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26799 Vitis heyneana Species Vitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25880 Sarcococca coriacea Species Buxaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25421 Stemodia viscosa Species Plantaginaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6851 Aplysilla pallida Species Darwinellidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10310 Cutaneotrichosporon cutaneum Species Trichosporonaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24299 Litsea laurifolia Species Lauraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO20800 Pholiota nameko Species Strophariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6478 Tubifera ferruginosa Species Reticulariaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO24479 Phaseolus atropurpureus Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17593.1 Pinus sylvestris var. hamata Varieties Pinaceae 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 NPC96471 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 NPC96471 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