Structure

Physi-Chem Properties

Molecular Weight:  415.35
Volume:  452.787
LogP:  5.452
LogD:  5.182
LogS:  -4.772
# Rotatable Bonds:  0
TPSA:  41.49
# H-Bond Aceptor:  3
# H-Bond Donor:  2
# Rings:  6
# Heavy Atoms:  3

MedChem Properties

QED Drug-Likeness Score:  0.559
Synthetic Accessibility Score:  5.37
Fsp3:  1.0
Lipinski Rule-of-5:  Accepted
Pfizer Rule:  Rejected
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:  -4.782
MDCK Permeability:  1.6472071365569718e-05
Pgp-inhibitor:  0.983
Pgp-substrate:  0.991
Human Intestinal Absorption (HIA):  0.011
20% Bioavailability (F20%):  0.979
30% Bioavailability (F30%):  0.949

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):  0.525
Plasma Protein Binding (PPB):  65.18424224853516%
Volume Distribution (VD):  1.447
Pgp-substrate:  13.32038688659668%

ADMET: Metabolism

CYP1A2-inhibitor:  0.066
CYP1A2-substrate:  0.532
CYP2C19-inhibitor:  0.09
CYP2C19-substrate:  0.887
CYP2C9-inhibitor:  0.156
CYP2C9-substrate:  0.041
CYP2D6-inhibitor:  0.024
CYP2D6-substrate:  0.729
CYP3A4-inhibitor:  0.822
CYP3A4-substrate:  0.215

ADMET: Excretion

Clearance (CL):  9.054
Half-life (T1/2):  0.174

ADMET: Toxicity

hERG Blockers:  0.955
Human Hepatotoxicity (H-HT):  0.389
Drug-inuced Liver Injury (DILI):  0.131
AMES Toxicity:  0.055
Rat Oral Acute Toxicity:  0.648
Maximum Recommended Daily Dose:  0.94
Skin Sensitization:  0.971
Carcinogencity:  0.366
Eye Corrosion:  0.946
Eye Irritation:  0.022
Respiratory Toxicity:  0.931

Download Data

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

  Natural Product: NPC76826

Natural Product ID:  NPC76826
Common Name*:   XYNPYHXGMWJBLV-QSDRTFLWSA-N
IUPAC Name:   n.a.
Synonyms:  
Standard InCHIKey:  XYNPYHXGMWJBLV-QSDRTFLWSA-N
Standard InCHI:  InChI=1S/C27H45NO2/c1-16-7-12-27(28-15-16)17(2)24-23(30-27)14-22-20-6-5-18-13-19(29)8-10-25(18,3)21(20)9-11-26(22,24)4/h16-24,28-29H,5-15H2,1-4H3/t16-,17-,18-,19-,20-,21-,22-,23-,24-,25+,26+,27+/m0/s1
SMILES:  C[C@H]1CC[C@@]2([C@@H](C)[C@H]3[C@H](C[C@H]4[C@H]5CC[C@H]6C[C@H](CC[C@@]6(C)[C@H]5CC[C@@]34C)O)O2)NC1
Synthetic Gene Cluster:   n.a.
ChEMBL Identifier:   n.a.
PubChem CID:   n.a.
Chemical Classification**:  
  • CHEMONTID:0000000 [Organic compounds]
    • [CHEMONTID:0000012] Lipids and lipid-like molecules
      • [CHEMONTID:0000258] Steroids and steroid derivatives
        • [CHEMONTID:0002724] Steroidal alkaloids
          • [CHEMONTID:0001704] Spirosolanes 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
NPO19811 Jatropha integerrima Species Euphorbiaceae Eukaryota latex n.a. n.a. PMID[17067157]
NPO19811 Jatropha integerrima Species Euphorbiaceae Eukaryota n.a. n.a. n.a. PMID[19943622]
NPO17328 Nicotiana acuminata Species Solanaceae Eukaryota n.a. n.a. n.a. Database[HerDing]
NPO17328 Nicotiana acuminata Species Solanaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO18318 Eucalyptus nova-anglica Species Myrtaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO7264 Fagara angolensis n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO17328 Nicotiana acuminata Species Solanaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO16446 Aria kumaonensis Species Rosaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18968 Boletus edulis Species Boletaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO18572 Dactylosporangium thailandense Species Micromonosporaceae Bacteria n.a. n.a. n.a. Database[UNPD]
NPO19811 Jatropha integerrima Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19411 Mallotus hookerianus Species Euphorbiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19280 Aplophyllum versicolor n.a. n.a. n.a. n.a. n.a. n.a. Database[UNPD]
NPO15323 Phora hirsuta Species Phoridae Eukaryota n.a. n.a. n.a. Database[UNPD]
NPO19549 Pfaffia iresinoides Species Amaranthaceae 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 NPC76826 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 NPC76826 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