Structure

Physi-Chem Properties

Molecular Weight:  474.99
Volume:  354.986
LogP:  1.079
LogD:  0.343
LogS:  -2.314
# Rotatable Bonds:  9
TPSA:  129.66
# H-Bond Aceptor:  8
# H-Bond Donor:  5
# Rings:  2
# Heavy Atoms:  10

MedChem Properties

QED Drug-Likeness Score:  0.251
Synthetic Accessibility Score:  3.919
Fsp3:  0.467
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Rejected
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  1

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.166
MDCK Permeability:  1.8660843124962412e-05
Pgp-inhibitor:  0.998
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.449
20% Bioavailability (F20%):  0.881
30% Bioavailability (F30%):  0.987

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.874
Plasma Protein Binding (PPB):  67.47906494140625%
Volume Distribution (VD):  0.726
Pgp-substrate:  54.964168548583984%

ADMET: Metabolism

CYP1A2-inhibitor:  0.142
CYP1A2-substrate:  0.237
CYP2C19-inhibitor:  0.273
CYP2C19-substrate:  0.064
CYP2C9-inhibitor:  0.167
CYP2C9-substrate:  0.103
CYP2D6-inhibitor:  0.658
CYP2D6-substrate:  0.321
CYP3A4-inhibitor:  0.226
CYP3A4-substrate:  0.139

ADMET: Excretion

Clearance (CL):  1.223
Half-life (T1/2):  0.477

ADMET: Toxicity

hERG Blockers:  0.291
Human Hepatotoxicity (H-HT):  0.684
Drug-inuced Liver Injury (DILI):  0.658
AMES Toxicity:  0.998
Rat Oral Acute Toxicity:  0.809
Maximum Recommended Daily Dose:  0.716
Skin Sensitization:  0.798
Carcinogencity:  0.977
Eye Corrosion:  0.003
Eye Irritation:  0.008
Respiratory Toxicity:  0.942

Download Data

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

  Natural Product: NPC243106

Natural Product ID:  NPC243106
Common Name*:   Clavatadine D
IUPAC Name:   7,9-dibromo-N-[5-(diaminomethylideneamino)pentyl]-8-oxo-1-oxa-2-azaspiro[4.5]deca-2,6,9-triene-3-carboxamide
Synonyms:   Clavatadine D
Standard InCHIKey:  OTXDUXAJSDNSCU-UHFFFAOYSA-N
Standard InCHI:  InChI=1S/C15H19Br2N5O3/c16-9-6-15(7-10(17)12(9)23)8-11(22-25-15)13(24)20-4-2-1-3-5-21-14(18)19/h6-7H,1-5,8H2,(H,20,24)(H4,18,19,21)
SMILES:  O=C(C1=NOC2(C1)C=C(Br)C(=O)C(=C2)Br)NCCCCCNC(=N)N
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   CHEMBL550969
PubChem CID:   44139244
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0002490] Azolines
        • [CHEMONTID:0002211] Isoxazolines

*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
NPO13261 Suberea clavata Species Aplysinellidae Eukaryota n.a. Australian n.a. PMID[19379003]
NPO13261 Suberea clavata Species Aplysinellidae 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
NPT4197 Individual Protein Coagulation factor XI Homo sapiens Inhibition = 30.0 % PMID[463382]
NPT4655 Individual Protein Coagulation factor IX Homo sapiens Inhibition < 5.0 % PMID[463382]

☑ 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 NPC243106 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
1.0 High Similarity NPC45830
0.7273 Intermediate Similarity NPC145149
0.7213 Intermediate Similarity NPC260270
0.7132 Intermediate Similarity NPC289324
0.6772 Remote Similarity NPC470892
0.6772 Remote Similarity NPC172626
0.6718 Remote Similarity NPC181086
0.6718 Remote Similarity NPC304257
0.6617 Remote Similarity NPC81079
0.6378 Remote Similarity NPC313173
0.6349 Remote Similarity NPC66855
0.6324 Remote Similarity NPC202166
0.6324 Remote Similarity NPC300912
0.6324 Remote Similarity NPC473262
0.6324 Remote Similarity NPC473261
0.6279 Remote Similarity NPC158672
0.6279 Remote Similarity NPC1702
0.6136 Remote Similarity NPC477220
0.6056 Remote Similarity NPC130714
0.5912 Remote Similarity NPC473683
0.5704 Remote Similarity NPC470886
0.5625 Remote Similarity NPC477121

  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 NPC243106 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
NPD

  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