Structure

Physi-Chem Properties

Molecular Weight:  520.27
Volume:  512.708
LogP:  2.668
LogD:  1.83
LogS:  -4.478
# Rotatable Bonds:  3
TPSA:  112.91
# H-Bond Aceptor:  9
# H-Bond Donor:  2
# Rings:  6
# Heavy Atoms:  9

MedChem Properties

QED Drug-Likeness Score:  0.428
Synthetic Accessibility Score:  5.811
Fsp3:  0.821
Lipinski Rule-of-5:  Accepted
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:  -4.857
MDCK Permeability:  7.3143673944287e-05
Pgp-inhibitor:  0.962
Pgp-substrate:  0.901
Human Intestinal Absorption (HIA):  0.058
20% Bioavailability (F20%):  0.004
30% Bioavailability (F30%):  0.105

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.033
Plasma Protein Binding (PPB):  69.69873046875%
Volume Distribution (VD):  1.524
Pgp-substrate:  16.912078857421875%

ADMET: Metabolism

CYP1A2-inhibitor:  0.008
CYP1A2-substrate:  0.304
CYP2C19-inhibitor:  0.021
CYP2C19-substrate:  0.511
CYP2C9-inhibitor:  0.015
CYP2C9-substrate:  0.014
CYP2D6-inhibitor:  0.008
CYP2D6-substrate:  0.183
CYP3A4-inhibitor:  0.526
CYP3A4-substrate:  0.466

ADMET: Excretion

Clearance (CL):  1.717
Half-life (T1/2):  0.276

ADMET: Toxicity

hERG Blockers:  0.393
Human Hepatotoxicity (H-HT):  0.639
Drug-inuced Liver Injury (DILI):  0.411
AMES Toxicity:  0.257
Rat Oral Acute Toxicity:  0.798
Maximum Recommended Daily Dose:  0.87
Skin Sensitization:  0.063
Carcinogencity:  0.943
Eye Corrosion:  0.003
Eye Irritation:  0.011
Respiratory Toxicity:  0.185

Download Data

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

  Natural Product: NPC64810

Natural Product ID:  NPC64810
Common Name*:   KBZJWPGSJWUHPT-PKTFCJAWSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  KBZJWPGSJWUHPT-PKTFCJAWSA-N
Standard InCHI:  InChI=1S/C28H40O9/c1-14-22(29)24(32-4)23(30)26(35-14)36-17-9-10-27(2)16(11-17)6-7-18-19(27)8-5-15-12-33-28(3)21(15)20(13-34-28)37-25(18)31/h6,12,14,17-24,26,29-30H,5,7-11,13H2,1-4H3/t14-,17+,18-,19+,20-,21-,22-,23-,24+,26-,27+,28+/m1/s1
SMILES:  C[C@@H]1[C@H]([C@@H]([C@H]([C@H](O1)O[C@H]1CC[C@@]2(C)C(=CC[C@@H]3[C@@H]2CCC2=CO[C@]4(C)[C@H]2[C@@H](CO4)OC3=O)C1)O)OC)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0004603] Organic oxygen compounds
      • [CHEMONTID:0000323] Organooxygen compounds
        • [CHEMONTID:0000011] Carbohydrates and carbohydrate conjugates
          • [CHEMONTID:0002105] Glycosyl compounds
            • [CHEMONTID:0002207] O-glycosyl compounds

*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
NPO25999 Ferula communis Species Apiaceae Eukaryota n.a. n.a. n.a. PMID[15620264]
NPO26982 Callyspongia siphonella Species Callyspongiidae Eukaryota n.a. n.a. n.a. PMID[17488128]
NPO26982 Callyspongia siphonella Species Callyspongiidae Eukaryota n.a. n.a. n.a. PMID[19534474]
NPO26953 Hebeloma senescens Species Cortinariaceae Eukaryota fruiting bodies n.a. n.a. PMID[7561908]
NPO26455 Merwilla natalensis Species Hyacinthaceae Eukaryota n.a. n.a. n.a. Database[Article]
NPO10658 Pedicularis rhinanthoides Species Orobanchaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26455 Merwilla natalensis Species Hyacinthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25900 Pteris podophylla Species Pteridaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25823 Haminoea navicula Species Haminoeidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26324 Fevillea cordifolia Species Cucurbitaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25927 Dictyota dentata Species Dictyotaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26885 Dictyosphaeria favulosa Species Siphonocladaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25874 Tuber borchii Species Tuberaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4538 Paysonia densipila Species Brassicaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26809 Synoicum blochmanni Species Polyclinidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26982 Callyspongia siphonella Species Callyspongiidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO25999 Ferula communis Species Apiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26214 Baccharis artemisioides Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO26953 Hebeloma senescens Species Cortinariaceae 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 NPC64810 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 NPC64810 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