Structure

Physi-Chem Properties

Molecular Weight:  229.06
Volume:  208.856
LogP:  0.155
LogD:  0.564
LogS:  -1.364
# Rotatable Bonds:  5
TPSA:  91.26
# H-Bond Aceptor:  7
# H-Bond Donor:  0
# Rings:  1
# Heavy Atoms:  7

MedChem Properties

QED Drug-Likeness Score:  0.459
Synthetic Accessibility Score:  3.725
Fsp3:  0.556
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Accepted
GSK Rule:  Accepted
BMS Rule:  0
Golden Triangle Rule:  Accepted
Chelating Alert:  0
PAINS Alert:  0

ADMET Properties (ADMETlab2.0)

ADMET: Absorption

Caco-2 Permeability:  -5.127
MDCK Permeability:  6.91901077516377e-05
Pgp-inhibitor:  0.021
Pgp-substrate:  0.001
Human Intestinal Absorption (HIA):  0.012
20% Bioavailability (F20%):  0.344
30% Bioavailability (F30%):  0.994

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.854
Plasma Protein Binding (PPB):  15.389622688293457%
Volume Distribution (VD):  0.475
Pgp-substrate:  64.123291015625%

ADMET: Metabolism

CYP1A2-inhibitor:  0.021
CYP1A2-substrate:  0.98
CYP2C19-inhibitor:  0.036
CYP2C19-substrate:  0.719
CYP2C9-inhibitor:  0.004
CYP2C9-substrate:  0.065
CYP2D6-inhibitor:  0.003
CYP2D6-substrate:  0.187
CYP3A4-inhibitor:  0.01
CYP3A4-substrate:  0.801

ADMET: Excretion

Clearance (CL):  5.977
Half-life (T1/2):  0.758

ADMET: Toxicity

hERG Blockers:  0.004
Human Hepatotoxicity (H-HT):  0.841
Drug-inuced Liver Injury (DILI):  0.942
AMES Toxicity:  0.972
Rat Oral Acute Toxicity:  0.045
Maximum Recommended Daily Dose:  0.014
Skin Sensitization:  0.519
Carcinogencity:  0.033
Eye Corrosion:  0.295
Eye Irritation:  0.129
Respiratory Toxicity:  0.167

Download Data

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

  Natural Product: NPC114301

Natural Product ID:  NPC114301
Common Name*:   IHKHEVBXNCFUTM-VIFPVBQESA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  IHKHEVBXNCFUTM-VIFPVBQESA-N
Standard InCHI:  InChI=1S/C9H11NO6/c1-14-6(11)5-4-9(16-3,7(12)10-5)8(13)15-2/h4H,1-3H3,(H,10,12)/t9-/m0/s1
SMILES:  COC(=O)C1=C[C@](C(=N1)O)(C(=O)OC)OC
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000264] Organic acids and derivatives
      • [CHEMONTID:0000265] Carboxylic acids and derivatives
        • [CHEMONTID:0000013] Amino acids, peptides, and analogues
          • [CHEMONTID:0000347] Amino acids and derivatives
            • [CHEMONTID:0000060] Alpha amino acids and derivatives

*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
NPO3499 Macaranga conifera Species Euphorbiaceae Eukaryota n.a. leaf n.a. DOI[10.1016/S0031-9422(02)00378-3]
NPO3499 Macaranga conifera Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[21275386]
NPO3499 Macaranga conifera Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO3499 Macaranga conifera Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO2271 Cassia reticulata Species Fabaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO28869 Neonectria obtusispora Species Nectriaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO8684 Nymphaea ampla Species Nymphaeaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19426 Diospyros ferrea Species Ebenaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO370 Rhizophora apiculata Species Rhizophoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6631 Elaeagnus glabra Species Elaeagnaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO155 Artemisia lanata Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO5288 Stomatanthes corumbensis Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO4483 Ganonema farinosum Species Liagoraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO9378 Halocynthia aurantium Species Pyuridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO1779 Sargassum kjellmanianum Species Sargassaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11051 Nicotiana cavicola Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO3499 Macaranga conifera Species Euphorbiaceae 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 NPC114301 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 NPC114301 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