Structure

Physi-Chem Properties

Molecular Weight:  543.21
Volume:  528.969
LogP:  1.183
LogD:  1.989
LogS:  -4.261
# Rotatable Bonds:  4
TPSA:  125.28
# H-Bond Aceptor:  11
# H-Bond Donor:  1
# Rings:  7
# Heavy Atoms:  11

MedChem Properties

QED Drug-Likeness Score:  0.532
Synthetic Accessibility Score:  5.133
Fsp3:  0.414
Lipinski Rule-of-5:  Rejected
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:  -5.066
MDCK Permeability:  2.8492779165389948e-05
Pgp-inhibitor:  1.0
Pgp-substrate:  0.019
Human Intestinal Absorption (HIA):  0.79
20% Bioavailability (F20%):  0.553
30% Bioavailability (F30%):  0.973

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.475
Plasma Protein Binding (PPB):  81.83881378173828%
Volume Distribution (VD):  0.885
Pgp-substrate:  21.509084701538086%

ADMET: Metabolism

CYP1A2-inhibitor:  0.009
CYP1A2-substrate:  0.317
CYP2C19-inhibitor:  0.212
CYP2C19-substrate:  0.928
CYP2C9-inhibitor:  0.856
CYP2C9-substrate:  0.46
CYP2D6-inhibitor:  0.017
CYP2D6-substrate:  0.112
CYP3A4-inhibitor:  0.882
CYP3A4-substrate:  0.968

ADMET: Excretion

Clearance (CL):  3.976
Half-life (T1/2):  0.335

ADMET: Toxicity

hERG Blockers:  0.003
Human Hepatotoxicity (H-HT):  0.877
Drug-inuced Liver Injury (DILI):  0.994
AMES Toxicity:  0.016
Rat Oral Acute Toxicity:  0.758
Maximum Recommended Daily Dose:  0.05
Skin Sensitization:  0.749
Carcinogencity:  0.036
Eye Corrosion:  0.003
Eye Irritation:  0.006
Respiratory Toxicity:  0.015

Download Data

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

  Natural Product: NPC112509

Natural Product ID:  NPC112509
Common Name*:   OHERQHRKBDORHU-OMBJRFEESA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  OHERQHRKBDORHU-OMBJRFEESA-N
Standard InCHI:  InChI=1S/C29H29N5O6/c1-16(35)34-25-29(39,18-10-6-8-12-20(18)33(25)26(38)28(34)13-14-28)15-21-23(37)31(3)27(2,40-4)24-30-19-11-7-5-9-17(19)22(36)32(21)24/h5-12,21,25,39H,13-15H2,1-4H3/t21-,25-,27-,29-/m1/s1
SMILES:  CC(=O)N1[C@@H]2[C@@](C[C@@H]3C(=O)N(C)[C@@](C)(c4nc5ccccc5c(=O)n34)OC)(c3ccccc3N2C(=O)C21CC2)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   71605144
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000002] Organoheterocyclic compounds
      • [CHEMONTID:0004788] Diazanaphthalenes
        • [CHEMONTID:0004789] Benzodiazines
          • [CHEMONTID:0000485] Quinazolines

*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
NPO19812 Pimelea simplex Species Thymelaeaceae Eukaryota n.a. n.a. n.a. PMID[21049973]
NPO12352 Magnolia baillonii Species Magnoliaceae Eukaryota n.a. n.a. n.a. PMID[3437284]
NPO19551 Cocculus pendulus Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO19812 Pimelea simplex Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO19551 Cocculus pendulus Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO19812 Pimelea simplex Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO10921 Cercospora ligustri Species Mycosphaerellaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO12352 Magnolia baillonii Species Magnoliaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19611 Ipomoea tuberosa Species Convolvulaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19812 Pimelea simplex Species Thymelaeaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO13189 Carex folliculata Species Cyperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16902 Dendroctonus brevicomis Species Curculionidae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO11741 Glycosmis parviflora Species Rutaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18651 Piper lolot Species Piperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18223 Dictyostelium brefeldianum Species n.a. Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19146 Cosmos bipinnatus Species Asteraceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19551 Cocculus pendulus Species Menispermaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO14131 Phyllanthus maderaspatensis Species Phyllanthaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19681 Hypoxis filiformis Species Hypoxidaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18898 Madhuca utilis Species Sapotaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17984 Aplysia angasi Species Aplysiidae 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 NPC112509 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 NPC112509 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