Structure

Physi-Chem Properties

Molecular Weight:  416.27
Volume:  472.403
LogP:  7.175
LogD:  4.973
LogS:  -6.84
# Rotatable Bonds:  10
TPSA:  25.06
# H-Bond Aceptor:  2
# H-Bond Donor:  0
# Rings:  4
# Heavy Atoms:  2

MedChem Properties

QED Drug-Likeness Score:  0.297
Synthetic Accessibility Score:  4.379
Fsp3:  0.448
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
GSK Rule:  Rejected
BMS Rule:  1
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -4.753
MDCK Permeability:  2.0105424482608214e-05
Pgp-inhibitor:  1.0
Pgp-substrate:  0.002
Human Intestinal Absorption (HIA):  0.002
20% Bioavailability (F20%):  0.458
30% Bioavailability (F30%):  0.018

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.069
Plasma Protein Binding (PPB):  97.7262191772461%
Volume Distribution (VD):  1.293
Pgp-substrate:  2.181868553161621%

ADMET: Metabolism

CYP1A2-inhibitor:  0.044
CYP1A2-substrate:  0.587
CYP2C19-inhibitor:  0.829
CYP2C19-substrate:  0.369
CYP2C9-inhibitor:  0.763
CYP2C9-substrate:  0.258
CYP2D6-inhibitor:  0.719
CYP2D6-substrate:  0.859
CYP3A4-inhibitor:  0.852
CYP3A4-substrate:  0.642

ADMET: Excretion

Clearance (CL):  10.321
Half-life (T1/2):  0.004

ADMET: Toxicity

hERG Blockers:  0.055
Human Hepatotoxicity (H-HT):  0.103
Drug-inuced Liver Injury (DILI):  0.93
AMES Toxicity:  0.16
Rat Oral Acute Toxicity:  0.488
Maximum Recommended Daily Dose:  0.931
Skin Sensitization:  0.026
Carcinogencity:  0.634
Eye Corrosion:  0.004
Eye Irritation:  0.724
Respiratory Toxicity:  0.208

Download Data

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

  Natural Product: NPC148416

Natural Product ID:  NPC148416
Common Name*:   CTHDLZOITPXSJS-KLXXULICSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  CTHDLZOITPXSJS-KLXXULICSA-N
Standard InCHI:  InChI=1S/C29H36O2/c1-18-7-11-24(12-8-18)28-26(30-28)16-22(5)20(3)15-21(4)23(6)17-27-29(31-27)25-13-9-19(2)10-14-25/h7-14,20-21,26-29H,5-6,15-17H2,1-4H3/t20-,21+,26-,27-,28-,29-/m0/s1
SMILES:  Cc1ccc(cc1)[C@H]1[C@H](CC(=C)[C@@H](C)C[C@@H](C)C(=C)C[C@H]2[C@H](c3ccc(C)cc3)O2)O1
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0002448] Benzenoids
      • [CHEMONTID:0002279] Benzene and substituted derivatives
        • [CHEMONTID:0001091] Toluenes

*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
NPO4562 Lonchocarpus urucu Species Fabaceae Eukaryota n.a. root n.a. PMID[10075742]
NPO9740 Dacrycarpus imbricatus Species Podocarpaceae Eukaryota Twigs n.a. n.a. PMID[32786878]
NPO6017 Artemisia arbuscula Species Asteraceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO9740 Dacrycarpus imbricatus Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO6017 Artemisia arbuscula Species Asteraceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13443 Doris montereyensis Species Dorididae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9094 Citrus reshni Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO378 Myristica argentea Species Myristicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO790 Cybister confusus Species Dytiscidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO2622 Cheilanthes mysurensis Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1477 Egregia menziesii Species Lessoniaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4562 Lonchocarpus urucu Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8794 Aconitum fauriei Species Ranunculaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO182 Cylas formicarius Species Brentidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6559 Duddingtonia flagrans Species n.a. Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9234 Cynoctonum wilfordii n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO9740 Dacrycarpus imbricatus Species Podocarpaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6017 Artemisia arbuscula 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 NPC148416 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 NPC148416 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