Structure

Physi-Chem Properties

Molecular Weight:  568.31
Volume:  572.476
LogP:  2.664
LogD:  2.483
LogS:  -4.312
# Rotatable Bonds:  9
TPSA:  106.56
# H-Bond Aceptor:  9
# H-Bond Donor:  2
# Rings:  7
# Heavy Atoms:  9

MedChem Properties

QED Drug-Likeness Score:  0.484
Synthetic Accessibility Score:  6.949
Fsp3:  0.75
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:  -5.312
MDCK Permeability:  6.163066427689046e-05
Pgp-inhibitor:  0.99
Pgp-substrate:  0.998
Human Intestinal Absorption (HIA):  0.139
20% Bioavailability (F20%):  0.03
30% Bioavailability (F30%):  0.885

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.169
Plasma Protein Binding (PPB):  17.575153350830078%
Volume Distribution (VD):  1.174
Pgp-substrate:  51.596248626708984%

ADMET: Metabolism

CYP1A2-inhibitor:  0.012
CYP1A2-substrate:  0.955
CYP2C19-inhibitor:  0.009
CYP2C19-substrate:  0.767
CYP2C9-inhibitor:  0.012
CYP2C9-substrate:  0.009
CYP2D6-inhibitor:  0.011
CYP2D6-substrate:  0.276
CYP3A4-inhibitor:  0.153
CYP3A4-substrate:  0.79

ADMET: Excretion

Clearance (CL):  10.893
Half-life (T1/2):  0.494

ADMET: Toxicity

hERG Blockers:  0.549
Human Hepatotoxicity (H-HT):  0.272
Drug-inuced Liver Injury (DILI):  0.255
AMES Toxicity:  0.016
Rat Oral Acute Toxicity:  0.31
Maximum Recommended Daily Dose:  0.061
Skin Sensitization:  0.441
Carcinogencity:  0.119
Eye Corrosion:  0.003
Eye Irritation:  0.012
Respiratory Toxicity:  0.984

Download Data

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

  Natural Product: NPC180969

Natural Product ID:  NPC180969
Common Name*:   VKBIDIYRRMWZLA-OSALYZQYSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  VKBIDIYRRMWZLA-OSALYZQYSA-N
Standard InCHI:  InChI=1S/C32H44N2O7/c1-6-34-16-30(41-29(36)18-9-7-8-10-22(18)33-17(2)35)12-11-25(39-4)32-20-13-19-23(38-3)15-31(37,26(20)27(19)40-5)21(28(32)34)14-24(30)32/h7-10,19-21,23-28,37H,6,11-16H2,1-5H3,(H,33,35)/t19-,20-,21+,23+,24-,25+,26-,27+,28-,30-,31+,32-/m1/s1
SMILES:  CCN1C[C@@]2(CC[C@@H]([C@@]34[C@@H]5C[C@@H]6[C@H](C[C@]([C@@H](C[C@H]23)[C@@H]14)([C@H]5[C@H]6OC)O)OC)OC)OC(=O)c1ccccc1N=C(C)O
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   101611196
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic 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
NPO14094 Aspergillus ochraceus Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[11170686]
NPO10386 Mundulea chapelieri Species Fabaceae Eukaryota n.a. leaf n.a. PMID[15043430]
NPO10386 Mundulea chapelieri Species Fabaceae Eukaryota n.a. flower n.a. PMID[15043430]
NPO10386 Mundulea chapelieri Species Fabaceae Eukaryota n.a. bark n.a. PMID[15043430]
NPO10386 Mundulea chapelieri Species Fabaceae Eukaryota bark an elevation of 850 m (171725? S; 484030? E), Toamasina, Madagascar 2002-JAN PMID[15043430]
NPO14094 Aspergillus ochraceus Species Aspergillaceae Eukaryota n.a. n.a. n.a. PMID[16156520]
NPO6865 Cordia fragrantissima Species Cordiaceae Eukaryota n.a. Myanmar n.a. PMID[18088097]
NPO14094 Aspergillus ochraceus Species Aspergillaceae Eukaryota n.a. mycelium n.a. PMID[21043476]
NPO17398 Cyperus teneriffae Species Cyperaceae Eukaryota n.a. root n.a. PMID[21504148]
NPO14094 Aspergillus ochraceus Species Aspergillaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO6865 Cordia fragrantissima Species Cordiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO17398 Cyperus teneriffae Species Cyperaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO10386 Mundulea chapelieri Species Fabaceae 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 NPC180969 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 NPC180969 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